What this direction explores
Explore how intelligent systems can assist with analysis and decision-making. The practical questions include choosing a suitable task, checking the quality of outputs and understanding the limits of automation.
Subject areas to compare
- Foundations of Machine learning
- Deep Learning
- Pattern Recognition and Image Processing
Examples from the listed pathway. University titles, elective structures and curricula can differ.
Who it suits
For graduates who meet the university’s computing or mathematics prerequisites. A programme may distinguish BCA/computer-science graduates from other applicants.
Skills and possibilities
- Software problem-solving
- System and database design
- Technical analysis and documentation
- Project delivery and testing
Explore software development, systems analysis and related technology work, depending on your skills and experience. Research or further study has separate entry requirements.
University-specific options
Plan your application
Are all specialisations taught the same way?
No. Some are named degree specialisations, while others are elective tracks. Compare the exact subjects and award.
How will I learn and take exams?
Learning and examination procedures are set by each university. Follow the university-specific guide and current assessment instructions.
Can I get help choosing?
Use free counselling to discuss your interests, qualification and study schedule.