Bachelor of Mathematics/Master of Data Science (MV06)
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Planning your enrolment
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Course Details
| Course duration (full-time): | 4 years |
|---|---|
| Course duration (part-time): | Domestic: 8 years |
| Total credit points: | 384 |
| Standard credit points/full-time semester: | 48 |
| Standard credit points/part-time semester: | 48 |
| Discipline coordinator: | AskQUT |
| Course contact: | +61 7 3138 2000, askqut@qut.edu.au |
| Delivery: | Gardens Point |
| CRICOS code: | 116997H |
| Faculty: | Faculty of Science |
Study costs
Domestic students may need to pay the Student Services and Amenities Fee (SSAF).
Course Structures
Enrolment Information
Master of Data Science component - without majors, the Master of Data Science is designed to provide students the opportunity to obtain a cross disciplinary education with specialisations. The units are grouped in the following specialisation areas: Biomedical Data Science, Computational Data Science, Information Systems Analytics, Statistical Data Science. This is to help guide your unit selection based on your needs and interests. You may choose units from more than one specialisation if you wish. The Specialisation units and Advanced Specialisation units do not necessarily need to be selected within the same specialisation. Unit choice will be contingent on the unit prerequisites.
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Mathematics Strand unit (MXB100 or MXB161) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB102 | Introduction to Machine Learning |
| |
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB109 Equivalents: MAB315, MXB232 | Introductory Operations Research |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100 |
| Mathematics Strand Unit (MXB161 or Mathematics Option Unit) | |||
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB102 | Introduction to Machine Learning |
| |
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB109 Equivalents: MAB315, MXB232 | Introductory Operations Research |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100 |
| Mathematics Strand Unit (MXB100 or MXB161) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Mathematics Strand Unit (MXB161 or Mathematics Option Unit) | |||
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB225 Equivalents: MAB413, MXB221 | Modelling with Differential Equations 1 |
| Prerequisites: MXB105 and MXB106MXB106 is assumed knowledge. |
| Complementary Studies unit | |||
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB226 Equivalents: MAB420, MXB222 | Computational Methods 1 |
| Prerequisites: MXB103 and MXB201 |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB226 Equivalents: MAB420, MXB222 | Computational Methods 1 |
| Prerequisites: MXB103 and MXB201 |
| Complementary Studies unit | |||
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB225 Equivalents: MAB413, MXB221 | Modelling with Differential Equations 1 |
| Prerequisites: MXB105 and MXB106MXB106 is assumed knowledge. |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB233 Equivalents: MXB332 | Optimisation Modelling |
| Prerequisites: MXB109 or MXB232 |
| Complementary Studies unit | |||
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB336 | Stochastic Dynamic Programming |
| Prerequisites: (MXB109 or MXB232) and MXB241 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Complementary Studies unit | |||
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB233 Equivalents: MXB332 | Optimisation Modelling |
| Prerequisites: MXB109 or MXB232 |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB336 | Stochastic Dynamic Programming |
| Prerequisites: (MXB109 or MXB232) and MXB241 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 and (DSB102 or MXB101) |
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Complementary Studies unit | |||
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 and (DSB102 or MXB101) |
| Complementary Studies unit | |||
| Complementary Studies unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN619 Equivalents: IFQ619 | Data Analytics for Strategic Decision Makers |
| Prerequisites: IFN581 or IFN555 or IFQ555 or IFN556 or IFQ556 or IFN582 or IFN554 or IFQ554 or IFN557 or IFQ557 OR (192cps in IV04 or IV05 EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN10 or IN14 or IN23 or IN27 or PM20 or PV20 or PV21 or EN75 or EN76 or EN77). IFN619 can be enrolled in the same teaching period as IFN581 or IFN582.Some familiarity with simple coding or basic scripting to manipulate data is helpful. |
| Select the first Capstone unit (IFN735 or IFN737) | |||
| IFN735 | Industry Project (Phase 1) |
| Prerequisites: Completion of 84 credit points from IN20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN735.Antirequisites: IFN737This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN737 | Industry Research Project (Phase 1) |
| Prerequisites: Grade Point Average (GPA) of 5 or greater and completion of 84 credit points from IN20, IQ20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN737.Antirequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select the second Capstone unit (IFN736 or IFN738) | |||
| IFN736 | Industry Project (Phase 2) |
| Prerequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN738 | Industry Research Project (Phase 2) |
| Prerequisites: IFN737This is a research project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select the first Capstone unit (IFN735 or IFN737) | |||
| IFN735 | Industry Project (Phase 1) |
| Prerequisites: Completion of 84 credit points from IN20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN735.Antirequisites: IFN737This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN737 | Industry Research Project (Phase 1) |
| Prerequisites: Grade Point Average (GPA) of 5 or greater and completion of 84 credit points from IN20, IQ20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN737.Antirequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN619 Equivalents: IFQ619 | Data Analytics for Strategic Decision Makers |
| Prerequisites: IFN581 or IFN555 or IFQ555 or IFN556 or IFQ556 or IFN582 or IFN554 or IFQ554 or IFN557 or IFQ557 OR (192cps in IV04 or IV05 EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN10 or IN14 or IN23 or IN27 or PM20 or PV20 or PV21 or EN75 or EN76 or EN77). IFN619 can be enrolled in the same teaching period as IFN581 or IFN582.Some familiarity with simple coding or basic scripting to manipulate data is helpful. |
| Select the second Capstone unit (IFN736 or IFN738) | |||
| IFN736 | Industry Project (Phase 2) |
| Prerequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN738 | Industry Research Project (Phase 2) |
| Prerequisites: IFN737This is a research project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Select a Specialisation unit | |||
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| DSB102 | Introduction to Machine Learning |
|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Mathematics Strand Unit (MXB161 or Mathematics Unit Option) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB109 Equivalents: MAB315, MXB232 | Introductory Operations Research |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100 |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB102 | Introduction to Machine Learning |
| |
| Mathematics Strand Unit (MXB100 or MXB161) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB109 Equivalents: MAB315, MXB232 | Introductory Operations Research |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB336 | Stochastic Dynamic Programming |
| Prerequisites: (MXB109 or MXB232) and MXB241 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB336 | Stochastic Dynamic Programming |
| Prerequisites: (MXB109 or MXB232) and MXB241 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB301 | Advanced Mathematical Techniques in Artificial Intelligence |
| Prerequisites: MXB103 and MXB105 and MXB201 |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB300 Equivalents: MXB338, MXB328, MXB348 | Work Integrated Learning in Mathematics |
| Prerequisites: (MXB225 and MXB226) or (MXB241 and MXB233) or (MXB241 and MXB242) |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Semester 1 (February) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN619 Equivalents: IFQ619 | Data Analytics for Strategic Decision Makers |
| Prerequisites: IFN581 or IFN555 or IFQ555 or IFN556 or IFQ556 or IFN582 or IFN554 or IFQ554 or IFN557 or IFQ557 OR (192cps in IV04 or IV05 EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN10 or IN14 or IN23 or IN27 or PM20 or PV20 or PV21 or EN75 or EN76 or EN77). IFN619 can be enrolled in the same teaching period as IFN581 or IFN582.Some familiarity with simple coding or basic scripting to manipulate data is helpful. |
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select a Specialisation unit | |||
| Select the first Capstone unit (IFN735 or IFN737) | |||
| IFN735 | Industry Project (Phase 1) |
| Prerequisites: Completion of 84 credit points from IN20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN735.Antirequisites: IFN737This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN737 | Industry Research Project (Phase 1) |
| Prerequisites: Grade Point Average (GPA) of 5 or greater and completion of 84 credit points from IN20, IQ20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN737.Antirequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select the second Capstone unit (IFN736 or IFN738) | |||
| IFN736 | Industry Project (Phase 2) |
| Prerequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN738 | Industry Research Project (Phase 2) |
| Prerequisites: IFN737This is a research project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Semester 2 (July) entry |
|---|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select a Specialisation unit | |||
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN619 Equivalents: IFQ619 | Data Analytics for Strategic Decision Makers |
| Prerequisites: IFN581 or IFN555 or IFQ555 or IFN556 or IFQ556 or IFN582 or IFN554 or IFQ554 or IFN557 or IFQ557 OR (192cps in IV04 or IV05 EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN10 or IN14 or IN23 or IN27 or PM20 or PV20 or PV21 or EN75 or EN76 or EN77). IFN619 can be enrolled in the same teaching period as IFN581 or IFN582.Some familiarity with simple coding or basic scripting to manipulate data is helpful. |
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select the first Capstone unit (IFN735 or IFN737) | |||
| IFN735 | Industry Project (Phase 1) |
| Prerequisites: Completion of 84 credit points from IN20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN735.Antirequisites: IFN737This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN737 | Industry Research Project (Phase 1) |
| Prerequisites: Grade Point Average (GPA) of 5 or greater and completion of 84 credit points from IN20, IQ20, IN28, IN29, IN31, IV51, IV52, IV57, IV58, IV59, or IV60, and (INN700 or EGH404). INN700 or EGH404 can be enrolled in the same teaching period as IFN737.Antirequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| Select a Specialisation unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Select the second Capstone unit (IFN736 or IFN738) | |||
| IFN736 | Industry Project (Phase 2) |
| Prerequisites: IFN735This is a capstone project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
| OR | |||
| IFN738 | Industry Research Project (Phase 2) |
| Prerequisites: IFN737This is a research project unit designed to integrate all of the discipline specific knowledge and skills that you have developed throughout your course and major/specialisation. |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB102 | Abstract Mathematical Reasoning |
| |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Select a Mathematics Strand Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB225 Equivalents: MAB413, MXB221 | Modelling with Differential Equations 1 |
| Prerequisites: MXB105 and MXB106MXB106 is assumed knowledge. |
| Select a Mathematics Strand Unit | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB226 Equivalents: MAB420, MXB222 | Computational Methods 1 |
| Prerequisites: MXB103 and MXB201 |
| Select a Mathematics Unit Option | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| MXB326 | Computational Methods 2 |
| Prerequisites: MXB202 and (MXB226 or MXB222)Antirequisites: EGB324 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| MXB328 | Work Integrated Learning in Applied and Computational Mathematics |
| Prerequisites: MXB326 and (MXB225 or MXB221)Antirequisites: MXB324 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB232 Equivalents: MAB315 | Introduction to Operations Research |
| MXB100 or Senior Mathematics C or Senior Specialist Mathematics is assumed knowledge. |
| Select a Mathematics Strand Unit | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Select a Mathematics Unit Option | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB332 Equivalents: MAB525 | Optimisation Modelling |
| Prerequisites: MXB232 or MAB315 |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB338 | Work Integrated Learning in Operations Research |
| Prerequisites: MXB334 and MXB332. MXB334 can be studied in the same teaching period as MXB338MXB341 is assumed knowledge |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB201 Equivalents: MAB312 | Advanced Linear Algebra |
| Prerequisites: MXB106MXB105 is assumed knowledge. |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 and (DSB102 or MXB101) |
| Select a Mathematics Strand Unit | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB202 Equivalents: MAB311 | Advanced Calculus |
| Prerequisites: MXB105 and MXB106MXB102 is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| Select a Mathematics Unit Option | |||
| Select a Mathematics Unit Option | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| MXB348 | Work Integrated Learning in Statistics |
| Prerequisites: MXB341 and MXB343. MXB343 can be studied in the same teaching period as MXB348MXB344 is assumed knowledge |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB102 | Abstract Mathematical Reasoning |
| |
| Select a Mathematics Strand Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Select a QUT You unit (6 credit points) | |||
| Select a QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB107 | Probability and Statistics |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB326 | Computational Methods 2 |
| Prerequisites: MXB202 and (MXB226 or MXB222)Antirequisites: EGB324 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB328 | Work Integrated Learning in Applied and Computational Mathematics |
| Prerequisites: MXB326 and (MXB225 or MXB221)Antirequisites: MXB324 |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB332 Equivalents: MAB525 | Optimisation Modelling |
| Prerequisites: MXB232 or MAB315 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB338 | Work Integrated Learning in Operations Research |
| Prerequisites: MXB334 and MXB332. MXB334 can be studied in the same teaching period as MXB338MXB341 is assumed knowledge |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Students who commenced their course in 2025 or prior, please refer to the ‘Bachelor of Mathematics curriculum changes 2026 onwards’ for information regarding unit changes.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| IFN581 | Programming Fundamentals |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR 192cps in LV41 OR (admission into IN31 or IN20 or IN19 or IN18 or IN25 or IN26 or IN27 or IN28 or IN29 or IN30 or PH71 or PH80 or KC88 or BS11 or DE99)Antirequisites: IFN555 or IFN556 or IFQ555 or IFQ556 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB343 | Modelling Dependent Data | Prerequisites: (MXB242 or MAB414) and (MXB341 or MAB524) | |
| IFN509 Equivalents: IFQ509 | Introduction to Data Science |
| Prerequisites: (IFN554 or IFQ554 or IFN581 or IFN555 or IFQ555 or IFN582) OR (192cps in IV04 or IV05 or EV08 or EV07 or LV41) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN15 or IN17 or EN72 or EN75 or EN76 or EN77) IFN554, IFQ554, IFN555 and IFQ555 or IFN581 or IFN582 can be enrolled in the same teaching period as IFN509.Antirequisites: INN342, INN343Basic statistics functions |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| INN700 Equivalents: INQ700 | Introduction to Research |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or LV41) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IF49 or IF80 or IN10 or IN20 or IN28 or IN29 or IN27 or IN31).Antirequisites: ENN541 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB348 | Work Integrated Learning in Statistics |
| Prerequisites: MXB341 and MXB343. MXB343 can be studied in the same teaching period as MXB348MXB344 is assumed knowledge |
| IFN580 Equivalents: IFQ580 | Machine Learning |
| Prerequisites: (IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17). |
Unit Lists
There are a number of changes to units and study areas which may affect your enrolment in 2026 or beyond. Study plans¿for affected continuing students will be updated. The information below is subject to change.
|
Unit |
Semester |
Change |
Replacement unit |
Effective Year |
Semester |
|
MS01 Core Units |
|
|
|
|
|
|
MXB101 Probability and Stochastic Modelling 1 |
Semester 1 |
Last offered 2025 |
Seek Faculty advice |
|
|
|
MXB102 Abstract Mathematical Reasoning |
Semester 1 |
Last offered 2025 |
Seek Faculty advice |
|
|
|
Applied and Computational Maths Major replacement |
|
|
|
|
|
|
MXB326 Computational Methods 2 |
Semester 1 |
Substitute with |
MXB301 Advanced Mathematical Techniques in Artificial Intelligence |
2027 |
Semester 2 |
|
MXB328 Work Integrated Learning in Applied and Computational Mathematics |
Semester 2 |
Replaced by |
MXB300 Work Integrated Learning in Mathematics |
2028 |
Semester 1 |
|
Operations Research Major replacement |
|
|
|
|
|
|
MXB232 Introduction to Operations Research |
Semester 1 |
Replaced by |
MXB109 Introductory Operations Research |
2026 |
Semester 2 |
|
MXB332 Optimisation Modelling |
Semester 1 |
Replaced by |
MXB233 Optimisation Modelling |
2027 |
Semester 1 |
|
MXB341 Statistical Interference |
Semester 1 |
Substitute with |
MXB336 Stochastic Dynamic Programming |
2028 |
Semester 1 |
|
MXB338 Work Integrated Learning in Operations Research |
Semester 2 |
Replaced by |
MXB300 Work Integrated Learning in Mathematics |
2028 |
Semester 1 |
|
Statistics Major replacement |
|
|
|
|
|
|
MXB343 Modelling Dependent Data |
Last offered 2022 |
Substitute with |
MXB301 Advanced Mathematical Techniques in Artificial Intelligence |
2026 |
Semester 2 |
|
MXB348 Work Integrated Learning in Statistics |
Semester 2 |
Replaced by |
MXB300 Work Integrated Learning in Mathematics |
2028 |
Semester 1 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| QUT001 | QUT You: Artificial Intelligence in the Real World |
| |
| QUT002 | QUT You: Walking on Country |
| |
| QUT003 | QUT You: Real Action for Real Change |
| |
| QUT004 | QUT You: Living and Working Collaboratively, Ethically, and Inclusively |
| |
| QUT005 | QUT You: Seeing Me, Seeing You: Skills for a Diverse World |
| |
| QUT006 | QUT You: The Art of Pitching |
| |
| QUT007 | QUT You: Fighting 'Fake News' |
| |
| QUT008 | QUT You: Think Like a Computer and Change the World |
| |
| QUT009 | QUT You: Data Science for Society |
| |
| QUT010 | QUT You: People with Robots |
| |
| QUT013 | QUT You: Human Agency in the Digital World |
|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Students who have not completed high school Specialist Mathematics should choose this strand. | |||
| MXB100 | Introductory Calculus and Algebra |
| Antirequisites: MZB125, EGD125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| MXB161 | Computational Explorations |
| Prerequisites: Admission to (MS01 or MV01 or MV05 or MV06 or DS01 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20 or SE07 or ID29) or 48 credit points of study in current course |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Students who have completed high school Specialist Mathematics should choose this strand. | |||
| MXB161 | Computational Explorations |
| Prerequisites: Admission to (MS01 or MV01 or MV05 or MV06 or DS01 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20 or SE07 or ID29) or 48 credit points of study in current course |
| Select 12 credit points from the Mathematics Unit Options List. | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Complete 36 credit points of units from the Complementary Studies List. Note: Units outside this list can be selected with approval of the Course Coordinator. | |||
| AMB031 Equivalents: AMX031, HHB031 | Mandarin 1 |
| Antirequisites: HHB051 and HUB453Other Requisites: Enrolment in this unit is only available to non-native speakers of Mandarin/Chinese. |
| AMB032 Equivalents: AMX032, HHB032 | Mandarin 2 |
| Prerequisites: AMB031 or HHB031 or HUB453 or HHB051Antirequisites: HHB052, HUB454 |
| BVB101 Equivalents: BZB210 | Foundations of Biology |
| |
| BVB103 Equivalents: BVB102 | Evolution and the Diversity of Life |
| |
| CAB201 Equivalents: CAZ201, ITD121 | Object-Oriented Programming and Design |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or MXB103 or EGB103 or EGD103 |
| CLB100 Equivalents: ERB211 | Global Change |
| |
| CVB101 Equivalents: EGB161 | General Chemistry |
| Antirequisites: CZB190 |
| CVB102 | Chemical Structure and Reactivity |
| Antirequisites: CZB190, CZB191, CVB103 |
| DSB101 Equivalents: MXB262 | Introduction to Data Science and Visualisation |
| |
| DSB200 | Applied Data Science |
| Prerequisites: DSB101 and DSB102 and IFB104 |
| ERB110 Equivalents: NQB201, ERB101 | Earth's Dynamic Systems |
| |
| ERB111 Equivalents: NQB102, ERB102 | Earth and Planetary Evolution |
| |
| EVB102 | Ecosystems and the Environment |
| |
| IFB102 Equivalents: IFB112, IND102, ITD102 | Introduction to Computer Systems |
| |
| IFB103 Equivalents: ITD103 | IT Systems Design |
| |
| IFB104 Equivalents: INB104, ITB001, ITD104 | Introduction to Programming |
| Antirequisites: CAB201, EGB103, EGD103 |
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| KKB191 Equivalents: OUB110, EDB039 | Am I black enough? Indigenous Australian Representations |
| |
| KKB192 Equivalents: OUB120 | Smash the Act - Indigenous Australian Politics |
| |
| KKB193 Equivalents: OUB130, EDB040 | Indigenous Knowledge: Research Ethics and Protocols |
| |
| MXB225 Equivalents: MAB413, MXB221 | Modelling with Differential Equations 1 |
| Prerequisites: MXB105 and MXB106MXB106 is assumed knowledge. |
| MXB226 Equivalents: MAB420, MXB222 | Computational Methods 1 |
| Prerequisites: MXB103 and MXB201 |
| MXB233 Equivalents: MXB332 | Optimisation Modelling |
| Prerequisites: MXB109 or MXB232 |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 and (DSB102 or MXB101) |
| MXB261 Equivalents: INB360, MAB480 | Game Theory and Simulation for Decision-Making |
| Programming experience; sound achievement in Senior Mathematics B is assumed knowledge. |
| MXB322 Equivalents: MAB613 | Partial Differential Equations |
| Prerequisites: (MXB201 and MXB202) or MXB225 or MXB221 or MAB413MXB202 is assumed knowledge. |
| MXB325 Equivalents: MAB521, MXB321 | Modelling with Differential Equations 2 |
| Prerequisites: MXB322 and (MXB225 or MXB221) |
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB336 | Stochastic Dynamic Programming |
| Prerequisites: (MXB109 or MXB232) and MXB241 |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| MXB371 Equivalents: MAB687-1, MXB381-1 | Research Project 1 |
| Other Requisites: Unit coordinator approval and a minimum GPA of 5.5 in the Bachelor of Mathematics |
| MXB372 | Research Project 2 |
| Prerequisites: MXB371. MXB371 can be studied in the same teaching period as MXB372 |
| PVB105 Equivalents: PVB101 | Foundations of Physics |
| |
| SCB300 | Professional Practice |
| Prerequisites: Successfully completed of 96cp of coursework units and admission into IN01 or IN05 or ST01 or DS01 or MS01)Other Requisites: Placements must be pre-approved by the Faculty of Science WIL team. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| LQN203 | Ethical, Legal and Social Issues in Genetics and Genomics |
| Prerequisites: (192cps in IV04 or MV05 or BV06 or EV08) or (enrolment in IV54 or IV57 or IV55 or IV56 or IV58 or LS72 or LS81 or IN27 or IN31) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN646 | Biomedical Data Science |
| Prerequisites: ((IFN580 or IFN509 or IFQ509) OR (192cps in IV04) OR (admission into IV54) OR (192 cps in LV41 and admission into LV41) |
| LSN707 | Advanced Biomedical Data Science Project |
| Prerequisites: (IFN600 or INN700 and IFN619 and 96cp of completed study) OR (IFN619 and INN700) and (192cps in IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07 or SV04) OR (IFN619 and INN700) and (admission into IV54 or IV57 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60 or IN27 or IN31). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB401 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or IFQ584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 |
| CAB432 Equivalents: CAZ432 | Cloud Computing |
| Prerequisites: CAB301 or CAB302 or INB370 or INB371 or IFN666 or IFQ666 or (IFN582 and IFN584) or (IFQ582 and IFQ584)You have the option to use either Python or Javascript for assessments. It's expected that you have good programming skills in one of these languages, or have good skills in another language and the ability to learn Python or Javascript on your own. |
| IFN582 | Rapid Web Development with Databases |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN18 or IN19 or IN20 or IN28 or IN29 or IN25 or IN30 or IN31 or IN27 or IN26 or DE99 or BS11 or KC88)Antirequisites: IFN554 or IFN557 or IFQ554 or IFQ557 |
| IFN583 | Computer Systems and Security |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN18 or IN19 or IN20 or IN28 or IN29 or IN31 or IN27 or IN26 or DE99 or BS11 or KC88 or PM20 or PQ20 or PV20 or PV21)Antirequisites: IFN551 or IFN553 or IFQ551 or IFQ553 |
| IFN584 | Object-Oriented Design and Development |
| Prerequisites: IFN581or IFN555 or IFQ555 or IFN556 or IFQ556 OR (192cps in IV04 or IV05 or EV07 or EV08) OR (admission into IV54 or IV59 or IV58 or IV60)Antirequisites: IFN563 or IFN564 or IFQ563 or IFQ564 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN645 Equivalents: INN312 | Machine Learning at Scale |
| Prerequisites: (IFN509 or IFQ509 or IFN580) OR (192cp in IV04) OR (admission into IV54) |
| IFN647 Equivalents: IFQ647 | Machine Learning for Natural Language Processing |
| Prerequisites: (IFN509 or IFQ509 or IFN580) OR (192cp in IV04) OR (admission into IV54)Programming languages experience. |
| IFN680 | Advanced Machine Learning and Applications |
| Prerequisites: IFN580 or IFQ580 or CAB420Knowledge of a programming language like Python, Java, C# or C is assumed plus Introductory level knowledge of artificial intelligence |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| AMN425 Equivalents: AMX425 | Digital Strategy and Analytics |
| Prerequisites: (24 credit points of completed Postgraduate study) or (192cps in SV03 or IV04 or MV05 or BV06 or EV08) |
| IFN515 Equivalents: IFQ515, IFZ515 | Fundamentals of Business Process Management |
| Prerequisites: (192cps in SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN10 or IN14 or IN17 or IN19 or IN20 or IN23 or IN25 or IN26 or IN27 or IN31or PM20 or PV20 or PV21 or EN75 or EN76 or EN77).Antirequisites: INN321 |
| IFN521 Equivalents: IFQ521 | Trust and Artificial Intelligence |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admissions into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN14 or IN17 or IN23 or IN20 or IN19 or IN28 or IN29 or IN30 or IN26 or IN27 or IN31 or BS11 or DE99). |
| IFN561 Equivalents: IFQ561 | Enterprise Systems Lifecycle Management |
| Prerequisites: ((IFN552 and IFN558) or IFN585) OR (admission to IN14 or IN17 or IN23 or IN25 or PM20 or PV20 or PQ20 or PV21)Basic IT knowledge |
| IFN562 Equivalents: IFQ562 | Advanced Business Analysis |
| Prerequisites: (IFN585 or (IFN552 and IFN558) or (IFN552 and IFN554) or (IFQ552 and IFQ558) or (IFQ552 and IFQ554)) OR (admission into IN14 or IN17 or IN23 or IN25 or PM20 or PQ20 or PV20 or PV21) |
| IFN585 | Systems Innovation and Design |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN18 or IN20 or IN19 or IN28 or IN29 or IN31 or IN25 or KC88 or EN72 or DE99 or BS11 or PM20 or PQ20 or PV20 or PV21)Antirequisites: IFN552 or IFN558 or IFQ552 or IFQ558 |
| IFN623 | Human Information Interaction |
| Prerequisites: (192cps in SV03 or SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51or IV58 or IV60) OR (admission into IN10 or IN14 or IN19 or IN20 or IN21 or IN23 or IN27 or IN31 or KC88) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFN650 | Business Process Analytics |
| Prerequisites: IFN515 or IFQ515. IFN515 may be studied in the same teaching period as IFN650.Knowledge of business process modelling, Basic understanding of IT; Basic knowledge of XML |
| IFN652 Equivalents: INN327 | Enterprise Business Process Management |
| Prerequisites: IFN515 or IFQ515, IFN515 or IFQ515 can be studied in the same semester with IFN652 |
| IFN653 Equivalents: IFZ653 | Business Process Automation |
| Prerequisites: IFN515 or IFQ515. IFN515 can be enrolled in the same teaching period as IFN653. |
| IFN666 | Web and Mobile Application Development |
| Prerequisites: IFN581 or ((IFN555 or IFQ555) and (IFN556 or IFQ556)) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN10 or IN15) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXN501 | Stochastic Modelling |
| Prerequisites: Completion of 144 credit points in EU50 Master of Teaching (Secondary) OR (192cps in SV03 or SV04 or IV04 or IV05 or BV06 or BV07 or EV08 or EV07) OR (admission into IV53 or IV57 or IV54 or IV59 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN20 or IN27 or IN31) |
| MXN402 | AMSI Unit 1 |
| Prerequisites: ((MXN601 or admission into MS10) and Unit Coordinator approval. MXN601 can be studied in the same teaching period as MXN402) OR (admission into IF80).Other Requisites: Unit Coordinator approval is required to enrol. |
| MXN403 | AMSI Unit 2 |
| Prerequisites: ((MXN601 or admission into MS10) and Unit Coordinator approval. MXN601 can be studied in the same teaching period as MXN403) OR (admission into IF80).Other Requisites: Unit Coordinator approval is required to enrol. |
| MXN441 | Advanced Statistical Machine Learning |
| Prerequisites: ((MXN601 or admission into MS10). MXN601 can be studied in the same teaching period as MXN441) OR (admission into IF80). |
| MXN442 | Modern Statistical Computing Techniques |
| Prerequisites: ((MXN601 or admission into MS10) and Unit Coordinator approval. MXN601 can be studied in the same teaching period as MXN442) OR (admission into IF80).Other Requisites: Unit Coordinator approval is required to enrol. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXN600 | Advanced Statistical Data Analysis |
| Prerequisites: (MXN500) or (144cps in EU50) OR (192cps in SV03 or SV04 or MV05 or MV06) OR (admission into IV53 or IV57 or IV55 or IV52) |
| MXN601 | Advanced Stochastic Modelling |
| Prerequisites: (MXN501) or (192cps in SV03 or SV04 or MV05 or MV06) OR (admission into IV53 or IV57 or IV55 or IV52) |