Master's
Master of Artificial Intelligence and Machine Learning – UA
Course Overview
The University of Adelaide’s Master of Artificial Intelligence and Machine Learning prepares students to design intelligent systems capable of solving complex real-world problems using advanced computational techniques. The curriculum covers machine learning, deep learning, computer vision, natural language processing, robotics, data mining, and artificial intelligence ethics through practical projects and research-based learning.
Students develop strong programming, analytical, and algorithm development skills while working with modern AI technologies. The program encourages innovation and responsible implementation of intelligent systems across diverse industries. Graduates are well equipped for careers in artificial intelligence, machine learning engineering, data science, autonomous systems, research, and technology consulting.
Entry Requirements
- Academic Records: Recognized Bachelor degree in CS, IT, Data Science, Math, or Engineering with a minimum GPA of 4.5/7.0.
- English Proficiency: IELTS 6.5 overall (minimum 6.0 in sub-scores), TOEFL iBT 79, PTE 58.
- Prerequisites / Knowledge: Foundational proficiency in Python programming, linear algebra, and probability.
- Application Materials: Certified degree transcripts, course outlines, and graduation certificates.
- Waterford Institute of TechnologyStatement of purpose highlighting technical background and AI focus goals.
Career Outcomes
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Computer Vision Engineer
Scholarship Available
- Yes (Adelaide Global Academic Excellence Scholarship
- Adelaide Global Citizens Scholarship
- Faculty Scholarships)
