Course Content
Students are required to complete 144 credit points, comprising:
- Information Technology Core (48 credit points)
- AI core (54 credit points)
- AI choice of (18 credit points)
- Electives or a sub-major choice of (24 credit points)
The program below shows a suggested sequence of subjects for a full-time student. It is intended as a guide only and does not take into account such factors as recognition of prior learning, changes in attendance mode and subject availability, or satisfactory academic progress. Students should consult the Timetable Planner to confirm the availability of subjects in the current academic year.
Autumn commencing, full time
Year 1
Autumn Session:
- 33130 Mathematics 1
- 31268 Web Systems
- 37181 Discrete Mathematics
- Select 6 credit points from the following electives:
- 48023 Programming Fundamentals
- 41039 Programming 1
Spring Session:
- 31265 Communication for IT Professionals
- 31271 Database Fundamentals
- 31250 Introduction to Data Analytics
- 31266 Introduction to Information Systems
Year 2
Autumn Session:
- 33230 Mathematics 2
- 41092 Network Fundamentals
- 48024 Programming 2
- 31269 Business Requirements Modelling
Spring Session:
- 31005 Machine Learning
- 41040 Introduction to Artificial Intelligence
- 57304 The Ethics of Data and AI
- Select 6 credit points from the following electives:
- CBK92069 Transdisciplinary Electives
Year 3
Autumn Session:
- 41004 AI/Analytics Capstone Project
- 31272 Project Management and the Professional
- Select 6 credit points from the following electives:
- 41043 Natural Language Processing
- 42028 Deep Learning and Convolutional Neural Network
- 43007 Advanced Artificial Intelligence
- 43023 Emerging Topics in Artificial Intelligence
- 43024 Introduction to Computational Intelligence
- Select 6 credit points from the following electives
- CBK92186 Electives
Spring Session:
- Select 12 credit points from the following electives:
- 31243 AI/Analytics Capstone Project B
- 31256 Image Processing and Pattern Recognition
- 32146 Data Visualisation and Visual Analytics
- 41080 Theory of Computing Science
- 43008 Reinforcement Learning
- 48033 Internet of Things
- Select 12 credit points from the following electives
- CBK92186 Electives
CBK92166 Artificial Intelligence options:
Select 18 credit points of options:
- 31243 AI/Analytics Capstone Project B
- 43007 Advanced Artificial Intelligence
- 32146 Data Visualisation and Visual Analytics
- 42028 Deep Learning and Convolutional Neural Network
- 43023 Emerging Topics in Artificial Intelligence
- 31256 Image Processing and Pattern Recognition
- 48033 Internet of Things
- 43024 Introduction to Computational Intelligence
- 41043 Natural Language Processing
- 43008 Reinforcement Learning
- 41080 Theory of Computing Science
CBK90783 Electives/Sub-major:
Select 24 credit points of options:
- CBK92186 Electives
- SMJ10188 AWS Industry sub-major
- SMJ10189 Google Industry sub-major
- SMJ10196 Humanitarian Engineering sub-major
- SMJ10156 Innovation and Entrepreneurship
- SMJ10190 iOS Industry sub-major
- SMJ09034 International Studies
- SMJ09035 Language other than English
- SMJ09036 Specialist Country Studies
- CBK92069 Transdisciplinary Electives
CBK92069 Transdisciplinary Electives:
Select 6 credit points of options:
- 95009 TD: Change-making for social impact
- 95006 TD: Envisioning futures worth wanting
- 95007 TD: Pathways to societal transitions
- 95002 TD: Reframing, remixing, reimagining society
- 95008 TD: Shaping better futures
- 95005 TD: Shaping technologies that shape us
- 95003 TD: Sustainability in an interconnected world
- 95004 TD: Technologies reimagined in a complex world
CBK92186 Electives
Select 18 credit points of options:
