Master of Artificial Intelligence and Machine Learning (MAIMLearn)
Master of Artificial Intelligence and Machine Learning (MAIMLearn)
Program Code
MAIML
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2025
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Master of Artificial Intelligence and Machine Learning will provide graduates with a foundation in Artificial Intelligence and Machine Learning and allow for the identification and application of emerging developments and considerations. Both Artificial Intelligence and Machine Learning are rapidly evolving spaces with implications for the future of work and our daily lives.
In this program, students undertake a variety of core and elective courses, designed to provide knowledge of the techniques and theory of artificial intelligence and machine learning, and their basis in computer science and mathematics. A significant capstone project combines skills developed across the program. Students will elect to undertake either a research project or an industry-based project.
The Master of Artificial Intelligence and Machine Learning is an AQF Level 9 qualification with a standard full-time duration of 2 years.
Program Learning Outcomes
- Explain and use the techniques and methods of applied machine learning and artificial intelligence to meet industry needs.
- Identify, write, implement and analyse machine learning and artificial intelligence approaches and techniques to datasets for industry needs.
- Demonstrate strong independent and collaborative problem solving skills to develop learning systems.
- Evaluate and select appropriate machine learning and artificial intelligence platforms for real-world problems.
- Articulate ethical, social and legal considerations arising from the application of machine learning and artificial intelligence.
Conditions
Interruption of program: Students must apply for permission from the Faculty before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.
Program Maximum Duration: As specified in Table 1 of the Coursework Academic Programs Policy, this program must be completed within a Maximum Duration which includes any periods of non-enrolment, leave of absence or approved study at other institutions for credit towards a Program.
Academic Program Rules for Master of Artificial Intelligence and Machine Learning
There shall be a Master of Artificial Intelligence and Machine Learning.
Qualification Requirements
To qualify for the degree of Master of Artificial Intelligence and Machine Learning, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 48 units, comprising:
- Core courses to the value of 21 units
- A research or industry based project to the value of 12 units
- Elective courses to the value of 15 units
Core Courses
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Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 21 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7210 Foundations of Computer Science A 3 COMP SCI 7211 Foundations of Computer Science B 3 COMP SCI 7212 Human and Ethical Factors in Computer Science 3 COMP SCI 7327 Concepts in Artificial Intelligence and Machine Learning 3 COMP SCI 7328 Concepts in Cyber Security 3 MATHS 7027 Mathematical Foundations of Data Science 3 PROJMGNT 5021 Project Management Fundamentals 3 -
Research or Industry Project
To satisfy the requirements for Research or Industry Project students must complete courses to the value of 12 units.
All of the following courses must be completed:
Research
Subject/Catalogue Course Title Unit Value COMP SCI 7205A Artificial Intelligence and Machine Learning Research Project Part A 0 COMP SCI 7205B Artificial Intelligence and Machine Learning Research Project Part B 12 or
All of the following courses must be completed:
Industry
Subject/Catalogue Course Title Unit Value COMP SCI 7206A Artificial Intelligence and Machine Learning Industry Project Part A 0 COMP SCI 7206B Artificial Intelligence and Machine Learning Industry Project Part B 12
Electives
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Electives
To satisfy the requirements for Electives students must complete courses to the value of 15 units.
Courses to the value of 12 units from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7314 Statistical Machine Learning 3 COMP SCI 7315 Computer Vision 3 COMP SCI 7318 Deep Learning Fundamentals 3 COMP SCI 7416 Applied Machine Learning 3 COMP SCI 7417 Applied Natural Language Processing 3 STEM 7111 STEM Internship 6 STEM 7555 STEM Internship 3 and
Courses to the value of 3 units from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7007 Specialised Programming 3 COMP SCI 7039 Computer Networks & Applications 3 COMP SCI 7064 Operating Systems 3 COMP SCI 7076 Distributed Systems 3 COMP SCI 7088 Systems Programming 3 COMP SCI 7209 Big Data Analysis and Project 3 COMP SCI 7305 Parallel and Distributed Computing 3 COMP SCI 7306 Mining Big Data 3 COMP SCI 7307 Secure Programming 3 COMP SCI 7317 Using Machine Learning Tools PG 3 COMP SCI 7407 Advanced Algorithms 3 MATHS 7103 Probability & Statistics PG 3 PHIL 7005 Machine Learning and Artificial Intelligence 3 STATS 7107 Statistical Modelling and Inference 3