MASTER OF ARTIFICIAL INTELLIGENCE
KPT / JPT( N / 0613 / 7 / 0003) 10 / 29- MQA / SWA16039
1.5 – 2 years( Full-time) 3 – 4 years( Part-time)*
February and July
Artificial intelligence( AI) has the ability to transform every aspect of our lives. With the field advancing at a rapid pace, now more than ever the world needs experts in AI.
Delivered by some of the best minds in the field, this course gives you the specialist knowledge and adaptability to move to the forefront of AI transformation. It empowers you to design, develop, and analyse AI-based products and intelligent systems for the advancement of everything from healthcare, entertainment and education to transportation, manufacturing and financial services.
What you’ ll learn
• Analyse the lifecycle of an AI and machine learning system in relation to the data and computing resources in an organisation
• Apply contemporary theories and innovations in AI, machine learning and data analysis to common problems
• Plan an AI-based project in a new area of application, using knowledge of AI system lifecycles and their requirements for data, computing resources and user modelling
• Investigate, analyse, document and communicate the core criteria of developing AI capabilities in a global organisation
• Demonstrate ways to implement AI to a standard consistent with senior professional practice
• Review and evaluate AI-based projects
• Record and convey ethical and legal issues, privacy and security norms, and other key considerations when using and developing AI.
Course structure
PART A. FOUNDATIONS FOR ADVANCED ARTIFICIAL INTELLIGENCE STUDIES( 24 credit points) You’ ll complete four advanced preparatory units:
• Introduction to databases
• Algorithms and programming foundations in Python
• Introduction to computer architecture and networks
• Mathematical foundations for data science.
PART B. CORE MASTER’ S STUDIES( 48 credit points) You’ ll complete:
• Fundamentals of artificial intelligence
• Project management
• IT research and innovation methods
• Machine learning
• Deep learning
• Modelling discrete optimisation problems
• Multi agent systems and collective behaviour.
Choose one of the following:
• Natural language processing
• Malicious AI.
PART C. ADVANCED PRACTICE( 24 credit points) You have two options:
• Industry experience: A program of coursework involving advanced study and an industry experience studio project.
• Master’ s thesis: A research pathway including a thesis. If you wish to use this course as a pathway to a PhD degree you should take this option.
RM62,280 Malaysian student
RM72,000 International student 2025 fees for full course
Coursework
* Part-time study is not available for international students.
PRIOR QUALIFICATIONS If you have a background in IT, you may receive credit exemption and graduate in 1.5 years on full-time study.
CAREER PATHS You’ ll be prepared for many in-demand professions, including:
• AI engineer
• AI data analyst
• big data engineer
• business intelligence developer
• natural language processing engineer
• machine learning engineer
• research scientist.
Bursaries
Are you a Monash alum? Get a 10 % tuition fee waiver when you successfully enrol in this course. Visit � monash. edu. my / scholarships for more details.
Monash excels in delivering high-quality education, offering substantial research opportunities and providing a supportive learning environment. The prestige associated with a Monash degree has been beneficial in my job search, aligning well with my career aspirations in the field of artificial intelligence.”
CHAN JIA ZHENG
Bachelor of Computer Science Master of Artificial Intelligence
Jia Zheng is passionate about using AI to create positive societal impact, particularly in improving healthcare diagnostics or advancing environmental sustainability.
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