Master of Computer Science specialising in Artificial Intelligence
20-24 hours per week
Jan, Mar, May, Jul, Aug, Oct
Equip yourself with the toolkit you need to tackle today’s most pressing digital challenges.
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.
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
Part B | a. Core specialist units
Part B | b. Specialist units: Artificial Intelligence
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 this unit.
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 $4587.50 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 fee’s 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 Mark Creado
Mark Creado has taught programming and other IT-related postgraduate study at Monash for over 10 years. His research interests include smart cities, artificial intelligence, cybersecurity, and system and data security. He has participated in projects for SMEs across the USA, Asia and Australia.
Dr Abdul Malik Khan
Abdul Malik Khan has 16 years of teaching experience at Monash University as a Senior Lecturer. His research focuses on developing efficient VM-consolidation for cloud-based data centres. He is interested in the culture of cyber-security, exploitation, policing and preventative strategies.
Arvind Kaur is a Lecturer of Software Engineering at the Faculty of Information Technology. She researches software engineering, focusing on software development process and automation. Her unique approach to teaching provides students with productive strategies to confront today’s educational challenges.
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
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
Fill in your details to download an interactive course guide containing:
- course information
- career pathways
- how online study works
- course fees
- how to apply