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Master of Computer Science

100% online

Study load

20-24 hours per week

Units

12

Intakes

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 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 a speciality within the field, choosing from software engineering, cybersecurity or 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, and 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.

Part A. Core master’s studies: 6 units

These units will provide a critical understanding of theoretical and practical issues related to computer science. Your studies will focus on fundamentals, core knowledge as well as application in your chosen specialisation.

Java programming

Algorithms and databases

Architecture and networks

Fundamentals of artifical intelligence

Software engineering

Information and computer security

The focus of these units is specialising in the area of artificial intelligence, cybersecurity or software engineering.

You must complete all units in one of the specialisations below.

You must complete the following units.

Web applications development

Mobile and distributed computing systems

User interface design and usability

Software testing, quality and standards

You must complete the following units.

Software and network security

Enterprise IT security

Blockchain

Cloud computing and security

You must complete the following units.

Machine Learning

Natural language processing

Intelligent image and video analysis

Discrete optimisation

The focus of these units is professional or scholarly work that can contribute to the portfolio of professional development. You must complete the following two applied practice 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.

To undertake the artificial intelligence specialisation, you must have knowledge of calculus and linear algebra at the level of undergraduate physical science or engineering.

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.

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.

English requirements

Applicants must meet the English language requirements.

University entrance requirements

Minimum entrance requirements apply for admission to Monash University Australia.

For the Master of Computer Science, the estimated cost is $4200.00 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.

Scholarships

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.

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. Choose from one of three specialties: software engineering, cybersecurity and artificial intelligence.

Software engineering

With organisations increasingly looking to digital systems and solutions, software engineering specialists are integral. This speciality covers aspects of the software lifecycle, together with the tools required to deliver robust reliable software, on time and within budget.

Cybersecurity

As the security risks arising from an increasingly digital world increase, specialists in cybersecurity have never been more important. This specialisation covers the skills to manage and administer cybersecurity and blockchain.

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

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.

Thanks to Monash, I have the potential to be promoted and work internationally, and I am only two units in.

Sarah

Monash Online student

Industry insights

A computer science qualification will prepare you for work in a wide range of careers in the information technology and computer science industry, including as a:  

  • IT technician 
  • data scientist 
  • business analyst 
  • IT project manager 
  • IT support engineer. 

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

27.7% job growth is expected for IT business analyst roles over the next five years.

$110,000 is the most common salary for a business analyst in Victoria.

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