Students should ensure they review the Course Structure information provided on the Course Details page for their Bachelor’s Degree. It is essential that students complete any Foundation units identified in that information at the earliest available opportunity in their studies. For those degrees which do not identify any Foundation Units, the necessary fundamental knowledge is incorporated within each degree specific major in your course. Where Foundation units are identified, they are essential and are chosen to provide fundamental knowledge which will assist you throughout the remainder of your studies. In some cases these foundation units are also essential prerequisites to enable you to undertake required units within your chosen majors, so these units should always be completed as early as possible in your course.
Students can access specific major pages through the handbook search function.
Course overview
- Description
The Computer Science core of this degree will develop student knowledge of the principles of computation and information that underpin the computing software and systems that are revolutionising the world in which we live, work and communicate. This core knowledge will enable a student to continue to grow and learn in this fast-moving field.
Students must meet the WAM requirement to progress into the Honours year.
- Course title
- Bachelor of Advanced Computer Science [Artificial Intelligence] [Honours]
- Award abbreviation
- BACS
- Course code
- BHQ01
- Course type
- Honour's courses (India)
- Status
- Current / 2026
- Administered by
- Physics, Mathematics and Computing
Course details
- Attendance type
- Full- or part-time
- Credit points required
- 192
A standard full-time load is 24 points per semester. - Delivery mode
- Internal
- Locations offered
- India - Chennai, India - Mumbai
- Course Coordinator(s)
- Refer to the relevant degree specific major coordinator
- Fees
- Visit the fees calculator.
Prospective students should see the Future Students website for details on admission requirements, intake periods, fees, availability to international students, careers information etc.
No study plans found for this course. Check your chosen major, see study plans or contact your student advising office for more information.
Specialisations
Course structure
Key to availability of units:
- N/A
- not available in 2026 – may be available in 2027 or 2028
All units have a value of six points unless otherwise stated.
Year 1
Take all units (24 points):
1: India Semester One
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| India Semester 1 | CITQ1003 | Introduction to Cybersecurity |
| Lectures: 2-hours per week; Workshop/Practicals: 2-hours per week |
| India Semester 1 | CITQ1401 | Computational Thinking with Python |
| lectures: 2 hours per week; labs: 2 hours per week; workshops: 1 hour per week |
| India Semester 1 | ECOQ1101 | Microeconomics: Prices and Markets |
| lectures/tutorials/seminars/workshops: up to 3 hours per week |
| India Semester 1 | STAQ1520 | Economic and Business Statistics |
| Lectures: 2-hours per week; Practical Classes/Labs: 2-hours per week; problem-solving sessions: 1-hour per week |
Year 2
Take all units (24 points):
2: India Semester Two
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| India Semester 1 | CITQ1402 | Relational Database Management Systems |
| lectures: 2 hours per week; labs: 2 hours per week |
| N/A | ECOQ1102 | Macroeconomics: Money and Finance |
| lectures/tutorials/seminars/workshops: up to 3 hours per week |
| N/A | MGMQ1136 | Management and Organisations |
| lectures/tutorials/seminars/workshops: up to 3 hours per week |
| N/A | PHIQ1001 | Ethics for the Digital Age: An Introduction to Moral Philosophy |
| 3 hours per week |
Take all units (24 points):
3: India Semester One
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| India Semester 1 | CITQ2002 | Systems Programming | Lectures: 3-hours per week; Laboratories: 2-hours per week | |
| N/A | CITQ2200 | Data Structures and Algorithms |
| 61 (lectures: 26 hours; practical classes: 11 hours; labs: 24 hours) |
| N/A | ECOQ2233 | Microeconomics: Policy and Applications | lectures/tutorials/seminars/workshops: up to 3 hours per week | |
| N/A | PHIQ2008 | Machine Minds and Superintelligence: The Philosophy of Artificial Intelligence |
| 3 hours per week |
Year 3
Take all units (24 points):
4: India Semester Two
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| N/A | BUSQ2102 | Changing the World: Social Innovation, Finance and Enterprise |
| lectures/tutorials/seminars/workshops: up to 3 hours per week |
| N/A | CITQ2005 | Object Oriented Programming |
| Lectures: 2 hours per week; workshops: 2 hours per week; |
| N/A | CITQ2211 | Discrete Structures |
| Lectorials: 2-hours per week |
| N/A | SCIQ2100 | Social Responsibility in Action |
| lectures: 2 hours per week; tutorials: 3 hours per week for 5 weeks |
Take all units (24 points):
5: India Semester One
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| N/A | CITQ3001 | Advanced Algorithms | lectures: 3 hours per week; labs: 2 hours per week | |
| N/A | CITQ3002 | Computer Networks | lectures: 2 hours per week; labs: 2 hours per week | |
| N/A | CITQ3403 | Agile Web Development |
| Lectures: 2-hours per week; Laboratories: 2-hours per week |
| N/A | PHIQ3003 | Moral Theory | lecture-tutorial: Two x 2 hours per week |
Year 4 [Honours]
Take all units (24 points):
6: India Semester Two
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| N/A | CITQ3005 | Knowledge Representation | Lectures: 2-hours per week; Laboratories: 2-hours per week | |
| N/A | CITQ3009 | Computer Science WIL Internship |
| Industry experience: 100 hours Online sessions with Unit Coordinator: 1- 2 hours fortnightly |
| N/A | CITQ3011 | Intelligent Agents | lectures: 2 hours per week; labs: 3 hours per week | |
| N/A | CITQ3200 | Professional Computing | 74 (lectures: 10-hours; project mentor sessions: 4-hours; project: 60-hours) |
Take all units (24 points):
7: India Semester One
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| N/A | CITQ4010 | Computer Science Honours Research Project Part 1 (12 points) |
| |
| N/A | CITQ4012 | Natural Language Processing |
| 1 x 2 hour lectures and 1 x 2 hour laboratories per week |
| N/A | CITQ5508 | Machine Learning |
| lectures: 2 hours per week; labs: 2 hours per week for 11 weeks from week 2 |
Year 5
Take all units (24 points):
8: India Semester Two
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| N/A | CITQ4011 | Computer Science Honours Research Project Part 2 (12 points) | as agreed with your project supervisor | |
| N/A | CITQ4404 | Artificial Intelligence and Adaptive Systems |
| |
| N/A | CITQ5017 | Deep Learning | lectures: 2 hours per week; laboratories: 2 hours per week. |
See also the rules for the course and the Student Rules.