DATASCAI01 Data science and artificial intelligence
Faculty of Information Technology
Data science and artificial intelligence (DATASCAI01) is a specialisation worth 36 credit points, listing 10 units, taught at Clayton. It is offered in 2 courses: Bachelor of Computer Science and Bachelor of Computer Science Advanced (Honours).
- Credit points
- 36
- Units
- 10
- Campus
- Clayton
- Offered in
- 2 courses
The 2027 handbook has no page for DATASCAI01. This is its 2025 entry, the latest one.
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Requisite map
Overview
Data science and AI addresses aspects of how to capture, manage and use the huge volumes of data generated by businesses, organisations and science in the information age; as well as designing and implementing solutions that perform tasks that typically require human intelligence, such as reasoning, problem-solving, learning, and perception. This specialisation spans technical areas such as programming and databases, learning and reasoning, through modelling, visualisation and analysis, as well as legal and ethical issues. You will select two additional units from a set of level 3 data science and AI offerings, and undertake a full-year data science and AI project utilising the skills and knowledge acquired during the course.
Availability
Data science and artificial intelligence is available in C2001 Bachelor of Computer Science at Clayton and in C3001 Bachelor of Computer Science Advanced (Honours) as an undergraduate specialisation.
Structure
Core units30 credit points
Level 3 electives6 credit points
If you are selected to participate in the IBL placement program you will replace this Level 3 elective unit with 6 credit points of the 18 credit point IBL unit (FIT3045).
Courses that offer it
Notes
Common questions
Which courses offer Data science and artificial intelligence?
2 courses in 2025: Bachelor of Computer Science and Bachelor of Computer Science Advanced (Honours).
Specialisation details
- Type
- Specialisation
- Study level
- Undergraduate
- Credit points
- 36
- Faculty
- Faculty of Information Technology
- Handbook years
- 2025