Master of Artificial Intelligence (coursework) at MONASH University

Master of Artificial Intelligence

Qualification

Master's Degree

Duration

1.5 years

Intake

FebFebJulJul

English Requirement

IELTS 6.5

Offer Letter

Free

Class Type

Physical

Course Fee for International Students

	Yearly Tuition fees
	Year	Fee
	1st Year	MYR 36,000
	2nd Year	MYR 36,000

	Other Fees
	Description	Fee
	Application (once only)	MYR 100
	EMGS Fee	MYR 1,629
	General amenities (per semester)	MYR 100
	Medical and health insurance	MYR 884
	Registration (once only)	MYR 200

The Master of Artificial Intelligence is a postgraduate degree program that focuses on the study and application of artificial intelligence (AI) technologies, algorithms, and methodologies, equipping students with the knowledge and skills to develop intelligent systems, analyze complex data, and solve real-world problems using AI techniques.

Entry Requirement

bachelor degree or equivalent in a cognate discipline relating to IT, or an engineering or science degree with a substantial IT component including Python programming, data structures and algorithms, databases, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics), with a minimum WAM 60 or equivalent.

For other qualifications and certificates (e.g., UEC, Foundation, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.

Future Careers

Engineers
Data analyst
Big data engineer
Business intelligence developer
Natural language processing engineer
Machine learning engineer
Research scientist.

The course comprises 96 credit points structured into three parts:

Part A. Foundations for advanced artificial intelligence studies (24 credit points)
These studies will provide an orientation to the field of artificial intelligence at graduate level. They are intended for students whose previous qualification is not in a cognate field.

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)
These studies will provide an orientation and draw on best practices within the broad field of artificial intelligence practice and research. You will gain a critical understanding of theoretical and practical issues related to artificial intelligence. Your studies will focus on fundamentals, core knowledge as well as application in artificial intelligence.

Fundamentals of artificial intelligence
Project management
IT research methods
Machine learning
Deep learning
Modelling discrete optimisation problems
Multi agent systems and collective behaviour
Intelligent image and video analysis OR Malicious AI.

Part C. Advanced practice (24 credit points)
The focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development in AI. You will have two options:

A program of coursework involving advanced study and an industry experience studio project.
A research pathway including a thesis. If you wish to use this master’s course as a pathway to a higher degree by research you should take this option.