Master of Advanced Robotics and Artificial Intelligence (EN72)
You're viewing information for students who are currently enrolled in this course.
If you're interested in studying a similar course, go to future students' course information.
Download printable version of Master of Advanced Robotics and Artificial Intelligence
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): | 2 years |
|---|---|
| Total credit points: | 192 |
| Standard credit points/full-time semester: | 48 |
| Standard credit points/part-time semester: | 24 |
| Discipline coordinator: | AskQUT |
| Course contact: | +61 7 3138 2000, askqut@qut.edu.au |
| Delivery: | Gardens Point |
| CRICOS code: | 114880D |
| Faculty: | Faculty of Engineering |
Study costs
Domestic students may need to pay the Student Services and Amenities Fee (SSAF).
Course Structures
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or EGB202 or CAB202 or ITD121 or IFN501 or IFN556 or Admission to (EN50 or EN55 or EN52 or EN56 or EN57 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (144cps in EV10) or (enrolment in IV53 or IV54 or IV55 or IV56 or IV58).Antirequisites: IFN580 |
| EGH432 | Foundations of Kinematics and Algorithms in Robotics |
| Prerequisites: (Admission to EN52 or EN56 or EN62 or EN72) or 192 credit points of completed study |
| EGH431 | Advanced Dynamic System Principles |
| Prerequisites: (Admission to EN52 or EN56 or EN62 or EN72) or EGH445 |
| EGH437 | Robot Anatomy |
| Prerequisites: Admission to (EN52 or EN62 or EN56 or EN72) or 192 credit points of completed study in EV01 or EV02Assumed knowledge as described in entry requirements of EN52 |
| EGH445 Equivalents: ENB458, ENB347 | Modern Control |
| Prerequisites: EGB345 or EGH421 or Admission to (EN50, EN55 or EN60 or EN72) |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN541 | Research Methods for Engineers |
| Antirequisites: IFN600, INN700, INN701Basic engineering maths is assumed knowledge. |
| ENN582 | Reinforcement Learning and Optimal Control |
| Prerequisites: EGH431Assumed knowledge from the undergraduate unit on state-space control, including state space, vector ODEs, some intuition about optimisation, and vector functions |
| ENN586 | Decision and Control |
| Prerequisites: EGH431Assumed knowledge from prior learning on state-space control, including state space, vector ODEs, some intuition about optimisation, and vector functions |
| ENN581 | Robot Motion, Control and Planning |
| Prerequisites: EGH432 and EGH437 |
| ENN583 | Foundations of Robotic Vision |
| Prerequisites: CAB420 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN595-1 | Project 1 |
| Prerequisites: ((ENN541 or equivalent) and Admission to (EN50 or EN51 or EN52 or EN53 or EN55 or EN54 or EN56 or EN57 or EN71 or EN75 or EN72 or EN73 or EN76 or EN74 or EN77 or EN80)) OR ((EGH404 or equivalent) and Admission to (EV51 or EV52 or EV53 or EV54 or EV57)). ENN541 can be enrolled in the same teaching period as ENN595-1. |
| ENN519 | Entrepreneurship and Applications |
| Prerequisites: EGH437 or Admission to (EV10 or EN57). EGH437 can be enrolled in the same teaching period as ENN519. |
| ENN584 | Robot Systems |
| Prerequisites: (ENN581 and ENN586) or EGH445 |
| ENN585 | Advanced Machine Learning |
| Prerequisites: (ENN582 or CAB320) and ENN583 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN595-2 | Project 2 |
| Prerequisites: ENN595-1 |
| ENN596 | Industry Project |
| Prerequisites: Admission to ((EV51 OR EN51 OR EN61 OR EN65 OR EN71 OR EN75) OR (EV53 OR EN53 OR EN63 OR EN67 OR EN73 OR EN76) OR (EV54 OR EN54 OR EN64 OR EN66 OR EN74 OR EN77 or EN80) OR (EN56 OR EN72) OR (EV57 OR EN57)) |
| 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 |
| 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 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| CAB420 | Machine Learning |
| Prerequisites: (CAB201 or EGB202 or CAB202 or ITD121 or IFN501 or IFN556 or Admission to (EN50 or EN55 or EN52 or EN56 or EN57 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (144cps in EV10) or (enrolment in IV53 or IV54 or IV55 or IV56 or IV58).Antirequisites: IFN580 |
| EGH431 | Advanced Dynamic System Principles |
| Prerequisites: (Admission to EN52 or EN56 or EN62 or EN72) or EGH445 |
| EGH432 | Foundations of Kinematics and Algorithms in Robotics |
| Prerequisites: (Admission to EN52 or EN56 or EN62 or EN72) or 192 credit points of completed study |
| EGH437 | Robot Anatomy |
| Prerequisites: Admission to (EN52 or EN62 or EN56 or EN72) or 192 credit points of completed study in EV01 or EV02Assumed knowledge as described in entry requirements of EN52 |
| 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 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN541 | Research Methods for Engineers |
| Antirequisites: IFN600, INN700, INN701Basic engineering maths is assumed knowledge. |
| ENN582 | Reinforcement Learning and Optimal Control |
| Prerequisites: EGH431Assumed knowledge from the undergraduate unit on state-space control, including state space, vector ODEs, some intuition about optimisation, and vector functions |
| ENN586 | Decision and Control |
| Prerequisites: EGH431Assumed knowledge from prior learning on state-space control, including state space, vector ODEs, some intuition about optimisation, and vector functions |
| ENN583 | Foundations of Robotic Vision |
| Prerequisites: CAB420 |
| ENN581 | Robot Motion, Control and Planning |
| Prerequisites: EGH432 and EGH437 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN595-1 | Project 1 |
| Prerequisites: ((ENN541 or equivalent) and Admission to (EN50 or EN51 or EN52 or EN53 or EN55 or EN54 or EN56 or EN57 or EN71 or EN75 or EN72 or EN73 or EN76 or EN74 or EN77 or EN80)) OR ((EGH404 or equivalent) and Admission to (EV51 or EV52 or EV53 or EV54 or EV57)). ENN541 can be enrolled in the same teaching period as ENN595-1. |
| ENN519 | Entrepreneurship and Applications |
| Prerequisites: EGH437 or Admission to (EV10 or EN57). EGH437 can be enrolled in the same teaching period as ENN519. |
| ENN584 | Robot Systems |
| Prerequisites: (ENN581 and ENN586) or EGH445 |
| ENN585 | Advanced Machine Learning |
| Prerequisites: (ENN582 or CAB320) and ENN583 |
| Code | Title | Offered In | Requisites |
|---|---|---|---|
| ENN595-2 | Project 2 |
| Prerequisites: ENN595-1 |
| ENN596 | Industry Project |
| Prerequisites: Admission to ((EV51 OR EN51 OR EN61 OR EN65 OR EN71 OR EN75) OR (EV53 OR EN53 OR EN63 OR EN67 OR EN73 OR EN76) OR (EV54 OR EN54 OR EN64 OR EN66 OR EN74 OR EN77 or EN80) OR (EN56 OR EN72) OR (EV57 OR EN57)) |
| 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 |
| IFN637 Equivalents: IFN591, IFQ591 | Human-Centred Design of IT Systems |
| Prerequisites: IFN585 or ((IFN552 or IFQ552) and (IFN558 or IFQ558)) or admission to IN17 |