Eligibility Requirements for Deakin Master of Applied Artificial Intelligence
Deakin Master of Applied Artificial Intelligence Rankings
Deakin Master of Applied Artificial Intelligence Program Description
Deakin Master of Applied Artificial Intelligence Program Curriculum
Core Courses
Academic Integrity (0 credit points)
Part A: Foundation Information Technology Studies
- Object-Oriented Development
- Database and Information Retrieval
- Software Requirements Analysis and Modelling
- Web Technologies and Development
Part B: Introductory Artificial Intelligence Studies
- Machine Learning
- Mathematics for Artificial Intelligence
- Analytics for Security and Privacy
- Plus one level 7 SIT elective (one credit point)
Part C: Mastery of Applied Artificial Intelligence Studies
- Deep Learning
- Reinforcement Learning
- Human Aligned Artificial Intelligence
- Applications of Computer Vision and Speech Processing
- Engineering AI Solutions
- Team Project (A) - Project Management and Practices
- Team Project (B) - Execution and Delivery
Plus one level 7 SIT elective (one credit point)
SIT764 and SIT782 must be taken by students in back-to-back trimesters. If a student is unable to finish SIT764 and SIT782 in order, they should consult the unit chair for guidance.
Specialization
- Computer Science
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