Search Apply Now

Study mode

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

Growing industry

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. 
Receive a one-on-one consultation about your study options.

Our worldwide University rankings

Monash University holds high rankings domestically and internationally for research and teaching excellence. 
# 2
The World University Rankings
# 42
QS World University Rankings

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.

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.

These units will provide a critical understanding of theoretical and practical issues related to computer science. You must complete the following four units.

Java programming

Architecture and networks

Foundations of computing

Java programming

Introduction to Python

You must complete the following three units

Fundamentals of artificial intelligence

Software engineering

Information and computer security

If choosing Artificial Intelligence as your specialisation, you must complete three of the following units.

Machine learning

Natural language processing

Intelligent image and video analysis

Discrete optimisation

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.

English requirements

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.

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

Course coordinator

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.

Rashid Elhouli

Graduate of Computer Science

Receive a one-on-one consultation about your study options.

Industry insights

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 
Star icon

5 stars out of 5
Information technology specialists report extremely high job satisfaction.

Chart icon

30% job growth is expected for IT business analyst roles over the next five years.

Currency icon

$120,000 is the most common salary for a systems architect in Victoria.

Frequently Asked Questions

When you study an AI related specialisation or elective you’ll learn the mathematical foundations and data modelling concepts for various AI technologies. When you add the software engineering specialisation or electives, you can learn to develop AI-powered software applications.
Machine learning is only one of type of AI technology. Others include Natural language processing and computer vision.
Database and System Administrators are becoming integral to enabling organisations AI capabilities. According to Australian Government career statistics, future demand continues to be very strong and salaries remain very high compared to other Information Communication Technology jobs. This is consistent across a range of sectors including Education and Training; Financial and Insurance Services; Healthcare and Social Assistance; and Information Media and Telecommunications.

Download a course guide

Fill in your details to download an interactive course guide containing:

  • course information
  • career pathways
  • how online study works
  • course fees
  • how to apply

Monash Online is a partnership between Monash University and Online Education Services (OES). Learn more.