Bachelor of Data Science (DS01)
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Planning your enrolment
This information will assist to plan your studies and complete your enrolment in HiQ. Read the information under the Course Structure tab for a recommended study program and unit details.
If you need further enrolment advice use the contact details listed. For more information about enrolling visit the enrolment section.
Course Details
| Course duration (full-time): | 3 years |
|---|---|
| Course duration (part-time): | Domestic: 6 years |
| Total credit points: | 288 |
| Standard credit points/full-time semester: | 48 |
| Standard credit points/part-time semester: | 24 |
| Course coordinator: | Associate Professor Paul Wu |
| Discipline coordinator: | AskQUT |
| Course contact: | +61 7 3138 2000, askqut@qut.edu.au |
| Delivery: | Gardens Point, Online |
| CRICOS code: | 103170C |
| Faculty: | Faculty of Science |
Scholarships
Pathways to further study
The QUT Bachelor of Data Science is located at Level 7 of the Australian Qualifications Framework (AQF). Eligible graduates may continue their studies in these disciplines with an additional honours year in the Bachelor of Information Technology (Honours) or (IF80) Master of Philosophy course at QUT.
Study costs
Domestic students may need to pay the Student Services and Amenities Fee (SSAF).
QUT You
You may be required to complete QUT You units in your course – find out more about QUT You.
Course Structures
To meet the course requirements of the Bachelor of Data Science, you must complete a total of 288 credit points.
For students commencing from 2024, the degree is arranged as follows:
- Core discipline units - 180 credit points
- QUT You - 24 credit points
- Complementary studies - 84 credit points, made up of:
- one minor (48 credit points), plus
- 36 credit points of option units.
For students who commenced the course prior to 2024, the degree is arranged as follows:
- Core discipline units - 192 credit points
- Complementary studies - 96 credit points, made up of:
- two minors (48 credit points each)
For Work Integrated Learning (WIL) opportunities, SCB300 Professional Practice unit is available for selection. Save an elective to ensure study plan scope (SCB300 is available for selection in the complementary studies - unit options). Please refer to the Faculty of Science – Student Information: Work Placement Canvas page for further information and pre-enrolment requirements.
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| Choose either MXB100 or MXB106. Students who haven't completed Specialist Mathematics (or Maths C) in High School should select MXB100 | |||
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Select one QUT You unit (6 credit points) | |||
| Select one QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| Minor or Complementary Studies Unit (12cp) | |||
| Minor or Complementary Studies Unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| Choose either CAB330 or IAB303: | |||
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Minor or Complementary Studies Unit (12cp) | |||
| Select one QUT You unit (6 credit points) | |||
| Select one QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| Minor or Complementary Studies Unit (12cp) | |||
| Minor or Complementary Studies Unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| Choose either MXB362 or CAB301: | |||
| (note: Select the unit for the semester you need. MXB362 is a SEM-2 unit, CAB301 is a SEM-1 unit.) | |||
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| Minor or Complementary Studies Unit (12cp) | |||
| Minor or Complementary Studies Unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| Complete either MXB100 or MXB106. Students who haven't completed Specialist Mathematics (or Maths C) in High School should select MXB100. | |||
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 |
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| Select one QUT You unit (6 credit points) | |||
| Select one QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| Minor or Complementary unit (12cp) | |||
| Select one QUT You unit (6 credit points) | |||
| Select one QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| Minor or Complementary unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Complete either CAB330 or IAB303: | |||
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Complete either MXB362 or CAB301: | |||
| (note: Select the unit for the semester you need. MXB362 is a SEM-2 unit, CAB301 is a SEM-1 unit) | |||
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| Minor or Complementary unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Minor or Complementary unit (12cp) | |||
| Minor or Complementary unit (12cp) | |||
| Minor or Complementary unit (12cp) | |||
| Minor or Complementary unit (12cp) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| SELECT | A QUT You unit (6 credit points) | ||
| SELECT | A QUT You unit (6 credit points) | ||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| OR | |||
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| (note: Select the unit for the semester you need. MXB362 is a SEM-2 unit, CAB301 is a SEM-1 unit) | |||
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Minor or Complementary Studies unit (12 credit points) | |||
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Minor or Complementary Studies unit (12 credit points) | |||
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| Select one QUT You unit (6 credit points) | |||
| Select one QUT You unit (6 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| OR | |||
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| (note: Select the unit for the semester you need. MXB362 is a SEM-2 unit, CAB301 is a SEM-1 unit) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Minor or Complementary Studies unit (12 credit points) | |||
| Minor or Complementary Studies unit (12 credit points) | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Minor Unit | |||
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
| |
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
| Minor Unit | |||
| Minor Unit | |||
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB104 Equivalents: INB104, IND104, ITB001 | Building IT Systems |
| Antirequisites: ITD104, CAB201, EGB103, EGD103 |
| MXB100 Equivalents: MAB100,MAB120,MAB180 | Introductory Calculus and Algebra |
| Antirequisites: MAB125, MZB125Sound achievement in Senior Mathematics B (or equivalent) or MAB105 is assumed knowledge. |
| OR | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB105 Equivalents: IFB130, ITD105 | Database Management |
| For PU51 students, PUB110 is the assumed knowledge for IFB105. |
| MXB101 Equivalents: MAB210 | Probability and Stochastic Modelling 1 |
|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB201 Equivalents: INB270, IND270 | Programming Principles |
| Prerequisites: IFB104 or ITD104 or MZB126 or MZB127 or EGD126 or ENB246 or MXB103 or INB104 or MAB220 or EGB103 or EGD103Antirequisites: ITD121 |
| MXB107 | Introduction to Statistical Modelling |
| Specialist Mathematics or MXB100, or concurrently enrolled in MXB100. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| MXB242 Equivalents: MAB414 | Regression and Design |
| Prerequisites: MXB107 |
| MXB262 Equivalents: MAB481 | Visualising Data |
| Prerequisites: SEB113 or MXB107 or MXB161 or MXB261 or MZB126Programming skills are assumed knowledge |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB100 | Fundamentals of Data Science |
| Prerequisites: (CAB201 or ITD121) and (MZB151 or any MXB unit). CAB201 can be studied in the same teaching period as DSB100. |
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or CAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58). |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB330 Equivalents: INB342 | Data and Web Analytics |
| Prerequisites: CAB220 or DSB100 or CAB230 or IAB207Familiarity with the following IT concepts at the introductory level: Elementary Statistics; Basic Database Concepts; Finding library resources; and Issues involved in aligning business technology and information systems are assumed knowledge. |
| OR | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| MXB362 Equivalents: MAB681 | Advanced Visualisation and Data Science |
| Prerequisites: MXB262 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DSB300 | Data Science Capstone Project |
| Prerequisites: CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| MXB344 Equivalents: MAB624 | Generalised Linear Models |
| Prerequisites: MXB242 |
Unit Lists
| 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 |
|
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| Complete 36 credit points from the Data Science Unit Options List. | |||
| CAB230 Equivalents: INB271 | Web Computing |
| Prerequisites: IFB104 or ITD104 or MZB126 or EGD126 or EGB103 or EGD103 |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| CAB320 | Artificial Intelligence |
| Prerequisites: (INB270 or CAB201 or ITD121 or CAB202) and (MZB151 or ENB246 or MZB126 or EGD126 or MZB127 or MXB103 or MXB100) |
| CAB401 Equivalents: INB375 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 or IFN505 |
| CAB402 | Programming Paradigms |
| Prerequisites: IFN584 or ((CAB201 or ITD121) and (CAB203 or CAB220 or DSB100 or MZB127)) or (IFN563 and IFN564) or (IFQ563 and IFQ564) |
| CAB430 | Data and Information Integration |
| Prerequisites: (CAB220 or DSB100 or CAB201 or ITD121 or CAB202 or EGB103) or Admission to EN60 |
| CAB431 | Text Analysis and Web Search |
| Prerequisites: CAB201 or ITD121 |
| CAB432 Equivalents: INB356 | 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. |
| EGB339 Equivalents: ENB339 | Introduction to Robotics |
| Prerequisites: (MZB127 or EGD126 or MXB103) and (EGB103 or IFB104)MZB126 is assumed knowledge |
| EVB203 Equivalents: UDB181 | Geospatial Information Science |
| Prerequisites: Completion of 48 credit points, or enrollment in ST20 |
| IAB207 | Rapid Web Application Development |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or ITD105 or IFB130) |
| IAB260 | Social Technologies |
| Prerequisites: IFB103 or ITD103 or IGB120 |
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| IAB321 | Business Process Technologies |
| Prerequisites: IAB203 |
| IFB103 Equivalents: INB182 | IT Systems Design |
| Antirequisites: ITD103 |
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| MXB161 | Computational Explorations |
| Prerequisites: Admission to (MS01 or MV05 or MV06 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| MXB232 Equivalents: MAB315 | Introduction to Operations Research |
| MXB100 or Senior Mathematics C or Senior Specialist Mathematics is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| MXB261 Equivalents: INB360, MAB480 | Modelling and Simulation Science |
| Programming experience; sound achievement in Senior Mathematics B is assumed knowledge. |
| MXB332 Equivalents: MAB525 | Optimisation Modelling |
| Prerequisites: MXB232 or MAB315 |
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB361 | Aspects of Computational Science |
| Prerequisites: MZB127 or MXB161 or MXB261Sound programming skills; MXB100 or Specialist Mathematics is assumed knowledge. |
| IAB201 | Modelling Techniques for Information Systems |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or IFB130 or ITD105)Antirequisites: ITD122 |
| IAB203 Equivalents: INB320 | Business Process Modelling |
| |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| 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 |
|---|---|---|---|
| DS01MNR-DMANDAI | |||
| Data Mining and Artificial Intelligence Minor Core Units | |||
| Complete all core units. | |||
| CAB320 | Artificial Intelligence |
| Prerequisites: (INB270 or CAB201 or ITD121 or CAB202) and (MZB151 or ENB246 or MZB126 or EGD126 or MZB127 or MXB103 or MXB100) |
| CAB430 | Data and Information Integration |
| Prerequisites: (CAB220 or DSB100 or CAB201 or ITD121 or CAB202 or EGB103) or Admission to EN60 |
| Data Mining and Artificial Intelligence Minor Unit Options | |||
| Complete 24 credit points from the Data Mining and Artificial Intelligence Minor Unit Options. | |||
| CAB230 Equivalents: INB271 | Web Computing |
| Prerequisites: IFB104 or ITD104 or MZB126 or EGD126 or EGB103 or EGD103 |
| EVB203 Equivalents: UDB181 | Geospatial Information Science |
| Prerequisites: Completion of 48 credit points, or enrollment in ST20 |
| EGB339 Equivalents: ENB339 | Introduction to Robotics |
| Prerequisites: (MZB127 or EGD126 or MXB103) and (EGB103 or IFB104)MZB126 is assumed knowledge |
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| CAB401 Equivalents: INB375 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 or IFN505 |
| CAB432 Equivalents: INB356 | 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. |
| IAB207 | Rapid Web Application Development |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or ITD105 or IFB130) |
| IAB260 | Social Technologies |
| Prerequisites: IFB103 or ITD103 or IGB120 |
| CAB431 | Text Analysis and Web Search |
| Prerequisites: CAB201 or ITD121 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-ADVCOMT | |||
| Select 48 credit points (4 units) from the following: | |||
| CAB230 Equivalents: INB271 | Web Computing |
| Prerequisites: IFB104 or ITD104 or MZB126 or EGD126 or EGB103 or EGD103 |
| CAB301 Equivalents: INB371 | Algorithms and Complexity |
| Prerequisites: (CAB201 or ITD121) |
| CAB401 Equivalents: INB375 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 or IFN505 |
| CAB402 | Programming Paradigms |
| Prerequisites: IFN584 or ((CAB201 or ITD121) and (CAB203 or CAB220 or DSB100 or MZB127)) or (IFN563 and IFN564) or (IFQ563 and IFQ564) |
| CAB432 Equivalents: INB356 | 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. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-COMPSIM | |||
| Core Units in Computational and Simulation Science | |||
| Complete 36 credit points of Computational and Simulation Science core units | |||
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB161 | Computational Explorations |
| Prerequisites: Admission to (MS01 or MV05 or MV06 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| MXB261 Equivalents: INB360, MAB480 | Modelling and Simulation Science |
| Programming experience; sound achievement in Senior Mathematics B is assumed knowledge. |
| Computational and Simulation Science Unit Options | |||
| Complete 12 credit points from the Computational and Simulation Science Unit Options | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB106 Equivalents: MAB112, MAB122, MAB132, PVB202 | Linear Algebra |
| |
| MXB361 | Aspects of Computational Science |
| Prerequisites: MZB127 or MXB161 or MXB261Sound programming skills; MXB100 or Specialist Mathematics is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-DMANDAI | |||
| CAB320 | Artificial Intelligence |
| Prerequisites: (INB270 or CAB201 or ITD121 or CAB202) and (MZB151 or ENB246 or MZB126 or EGD126 or MZB127 or MXB103 or MXB100) |
| CAB430 | Data and Information Integration |
| Prerequisites: (CAB220 or DSB100 or CAB201 or ITD121 or CAB202 or EGB103) or Admission to EN60 |
| CAB431 | Text Analysis and Web Search |
| Prerequisites: CAB201 or ITD121 |
| Select 12 credit points (1 unit) from the following: | |||
| CAB230 Equivalents: INB271 | Web Computing |
| Prerequisites: IFB104 or ITD104 or MZB126 or EGD126 or EGB103 or EGD103 |
| CAB401 Equivalents: INB375 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 or IFN505 |
| CAB432 Equivalents: INB356 | 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. |
| EGB339 Equivalents: ENB339 | Introduction to Robotics |
| Prerequisites: (MZB127 or EGD126 or MXB103) and (EGB103 or IFB104)MZB126 is assumed knowledge |
| EVB203 Equivalents: UDB181 | Geospatial Information Science |
| Prerequisites: Completion of 48 credit points, or enrollment in ST20 |
| IAB207 | Rapid Web Application Development |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or ITD105 or IFB130) |
| IAB260 | Social Technologies |
| Prerequisites: IFB103 or ITD103 or IGB120 |
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-ADVCOMT | |||
| CAB230 Equivalents: INB271 | Web Computing |
| Prerequisites: IFB104 or ITD104 or MZB126 or EGD126 or EGB103 or EGD103 |
| CAB401 Equivalents: INB375 | High Performance and Parallel Computing |
| Prerequisites: IFN584 or (IFN563 and IFN564) or (IFQ563 and IFQ564) or CAB301 or IFN505 |
| CAB402 | Programming Paradigms |
| Prerequisites: IFN584 or ((CAB201 or ITD121) and (CAB203 or CAB220 or DSB100 or MZB127)) or (IFN563 and IFN564) or (IFQ563 and IFQ564) |
| CAB432 Equivalents: INB356 | 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. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-COMPSIM | |||
| MXB103 Equivalents: MAB220 | Introductory Computational Mathematics |
| Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB161 | Computational Explorations |
| Prerequisites: Admission to (MS01 or MV05 or MV06 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| MXB261 Equivalents: INB360, MAB480 | Modelling and Simulation Science |
| Programming experience; sound achievement in Senior Mathematics B is assumed knowledge. |
| MXB361 | Aspects of Computational Science |
| Prerequisites: MZB127 or MXB161 or MXB261Sound programming skills; MXB100 or Specialist Mathematics is assumed knowledge. |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| DS01MNR-OPTST | |||
| Select 48 credit points (4 units) from the following: | |||
| MXB105 Equivalents: MAB121, PVB200 | Calculus and Differential Equations |
| Antirequisites: PVB201Sound achievement in Senior Mathematics C (or equivalent) or MXB100 is assumed knowledge. |
| MXB232 Equivalents: MAB315 | Introduction to Operations Research |
| MXB100 or Senior Mathematics C or Senior Specialist Mathematics is assumed knowledge. |
| MXB241 Equivalents: MAB314 | Probability and Stochastic Modelling 2 |
| Prerequisites: MXB101 and MXB105 |
| MXB332 Equivalents: MAB525 | Optimisation Modelling |
| Prerequisites: MXB232 or MAB315 |
| MXB334 Equivalents: MAB625 | Operations Research for Stochastic Processes |
| Prerequisites: MXB232 and MXB241 |
| MXB341 Equivalents: MAB524 | Statistical Inference |
| Prerequisites: MXB241 or MAB314 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB103 Equivalents: INB182 | IT Systems Design |
| Antirequisites: ITD103 |
| IAB201 | Modelling Techniques for Information Systems |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or IFB130 or ITD105)Antirequisites: ITD122 |
| IAB203 Equivalents: INB320 | Business Process Modelling |
| |
| IAB321 | Business Process Technologies |
| Prerequisites: IAB203 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| IFB103 Equivalents: INB182 | IT Systems Design |
| Antirequisites: ITD103 |
| IAB201 | Modelling Techniques for Information Systems |
| Prerequisites: (IFB103 or ITD103) and (IFB105 or IFB130 or ITD105)Antirequisites: ITD122 |
| Complete 24cp of Unit Options from the following Strands: | |||
| Business Intelligence Strand | |||
| IAB303 | Data Analytics for Business Insight |
| Prerequisites: AYB341 or ((IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105)) |
| Select 12cp from the Business Intelligence Strand Options List | |||
| IAB206 | Modern Data Management |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) |
| IAB260 | Social Technologies |
| Prerequisites: IFB103 or ITD103 or IGB120 |
| Business Process Management Strand | |||
| IAB203 Equivalents: INB320 | Business Process Modelling |
| |
| Select 12cp from the Business Process Management Strand Options List | |||
| IAB320 Equivalents: INB321 | Business Process Improvement |
| Prerequisites: IAB203 |
| IAB321 | Business Process Technologies |
| Prerequisites: IAB203 |
| Enterprise Systems Strand | |||
| IAB251 | Software Engineering for Enterprise Systems |
| Prerequisites: IFB104 or ITD104 or EGB103 or IFB201 |
| IAB353 | Business Intelligence using Enterprise Systems |
| Prerequisites: (IFB104 or ITD104 or EGB103) and (IFB105 or IFB130 or ITD105) or IAB251 |
| Internet of Things Strand | |||
| IAB230 Equivalents: INB345 | Design of Enterprise IoT |
| Prerequisites: IFB104 or INB104 or ITD104 or EGB103 |
| IAB330 | Applied Internet of Things |
| Prerequisites: IAB230 or CAB201 or ITD121 |