Accelerated 100% Online
2 years part-time
Jan, Mar, May, Jul, Aug, Oct
Lead innovation into the future
Become an expert
The course integrates foundational learning, specialist knowledge of a key industry area and application studies focused on understanding technology used in the field.
5 stars out of 5
IT specialists report very high job satisfaction
Rapid advancements create jobs
8.3% job growth expected for IT managers within 5 years.
Created for online
Virtual classrooms at your fingertips
Gain a world-class education, taught by leading academics.
Equipped for success
Grow your skillset with Monash
Graduate as an in-demand employee in your industry.
Lead technological innovation into the future
As technological progress accelerates, so does the demand for skilled computer science professionals. Become an expert in this transformative field, using your specialist knowledge to help shape the future of business.
The Master of Computer Science specialising in artificial intelligence integrates foundational learning, specialist knowledge of a key industry area and application studies focused on understanding technology used in the field. The course ensures you are industry-ready come graduation through an elevated curriculum. It offers you an opportunity to gain speciality knowledge within the field and industry of artificial intelligence.
What you will learn
- A shifting digital reality
Understand how digital technology is reshaping the world, preparing you to play an integral part in that shift.
- Computer science fundamentals
Acquire technical skills in a range of areas: Java programming, algorithms, systems architecture, artificial intelligence, cybersecurity and more.
- Specialist skills
Specialise in one of the following areas: software engineering, cybersecurity or artificial intelligence.
Pathways to a masters degree
You can graduate with a Master of Computer Science specialising in Artificial Intelligence in approximately 2 years part-time, after completing 12 units (72 credit points total).
You can also exit the course after completing approximately:
- 0.7 years part-time, 4 units (24 credit points), and you’ll receive a Graduate Certificate of Computer Science; or
- 1.4 years part-time, 10 units (60 credit points), and you’ll receive a Graduate Diploma of Computer Science.
0.7 years part-time accelerated
- Architecture and networks
- Introduction to databases
- Foundations of computing
- Java programming
- Introduction to Python
0.7 years part-time accelerated
- Fundamentals of artificial intelligence
- Software engineering
- Information and computer security
1 unit from one of the Artificial Intelligence specialist units
This course is structured in three parts:
Part A. Core master’s studies,
Part B. Specialist studies
a. Core specialist units,
b. Specialist units
Part C. Applied practice.
Depending on prior qualifications, you may receive credit for all of part of Part A or Part B, or both. If you are eligible for credit for prior studies, you may elect not to receive the credit.
Need further clarification about our online course structure?
You can submit an enquiry directly to our student consultants by using the form listed on our contact us page. You’ll have the opportunity to schedule a call if you’d like to receive further information.
Part A. Core master’s studies
These units will provide a critical understanding of theoretical and practical issues related to computer science. You must complete the following four units.
Architecture and networks
Foundations of computing
Choose one core unit from:
Introduction to Python
Part B | a. Core specialist units
You must complete the following three units
Fundamentals of artificial intelligence
Information and computer security
Part B | b. Artificial Intelligence specialist units
If choosing Artificial Intelligence as your specialisation, you must complete three of the following units.
Natural language processing
Intelligent image and video analysis
Part C. Applied practice
The focus of this unit is professional or scholarly work that can contribute to the portfolio of professional development.
You must complete both units.
Applied practice 1
Applied practice 2
Entry level 1: 72 credit points to complete
Duration: two years part-time
An Australian bachelor’s degree in a relevant discipline* with at least a credit (60 per cent) average, or equivalent qualification approved by the faculty.
* Relevant disciplines include: any degree in a STEM discipline or degrees that have mathematics, business analytics, scientific or critical thinking, or problem solving.
Entry level 2: 48 credit points to complete
Duration: 1.4 years part-time
A Monash University Graduate Certificate of Computer Science, with at least a credit (60 per cent) average or equivalent.
Entry level 3: 24 points to complete
Duration: 0.7 years part-time
A Monash University Graduate Diploma of Computer Science, with at least a credit (60 per cent) average or equivalent.
Applicants must meet the English language requirements.
University entrance requirements
Minimum entrance requirements apply for admission to Monash University Australia.
If you need help understanding the above entry requirements, reach out to our student consultants on our contact us page and schedule a booking for a chat.
For the Master of Computer Science, the estimated cost is $4,862.50 per unit. You may be eligible to receive a FEE-HELP loan to cover part or all of your tuition. Fees are subject to change annually.
We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.
Looking for clarification on fees or scholarships?
Enquire with our student consultants and schedule a call to get your questions answered.
Computer science online at Monash
The Master of Computer Science is designed by award-winning and internationally recognised academics from the Faculty of Information Technology. The course combines foundational knowledge and skills with specialist study in artificial intelligence.
With artificial intelligence making its way into every aspect of our lives, the field requires specialists with the knowledge and skills to effectively build AI-based products and intelligent systems. This specialisation covers the many facets of AI, as well as its impact on organisations, society and the world.
Meet your academic team
Dr Pari Delir Haghighi
Dr Pari Delir Haghighi is a Senior Lecturer in the Faculty of Information Technology. Her research interests include context-aware and mobile computing, edge and IoT computing, and mobile health monitoring.
Yi-Shan Tsai is a Senior Lecturer in the Department of Human-Centred Computing in the Faculty of Information Technology at Monash University. Her work seeks to enhance learning experiences and teaching practice through the use of data and AI technologies
Dr Amin Sakzad
Dr Amin Sakzad is a Senior Lecturer at the Faculty of Information Technology at Monash University. He is also the Deputy Head and Director of Education at the Department of Software Systems and Cybersecurity. He has over 15 years of experience teaching Maths, Engineering, and Computer Science in Australia, Canada and Iran.
I am currently in a career transition phase, working to become a full-time software engineer; all this made possible by the excellent pathways Monash has created.
Graduate of Computer Science
Combining comprehensive computer science expertise with a specialisation in Artificial Intelligence, you will position yourself on the cutting edge of the multi-industry spanning acceleration towards automation and machine learning, opening up new career opportunities as a:
- Machine Learning Engineer
- AI Researcher
- Systems Architect
- Big Data Engineer
- Robotics Scientist
- IT Project Manager
- IT Support Engineer
Frequently Asked Questions
Do I need to study software engineering if I want to build AI applications?
What's the difference between Artificial Intelligence (AI) and Machine Learning?
What are the highest paying Computer Science AI jobs?
Studying online, the Monash way
Courses designed for online
Gain a world-class education, delivered through a dynamic virtual classroom and taught by leading academics.
Support seven days a week
You’ll have ongoing access to dedicated support services that have been specifically designed for your discipline.
Equipped for career success
You’ll graduate as an in-demand employee, ready to take the next step in your career.
Download a course guide
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- course information
- career pathways
- how online study works
- course fees
- how to apply