Course information for - 2026 entry

Duration
2 years full-time or equivalent part-time
ATAR
N/A
Fees (first year)*

$9536 CSP
$25192 Fee-paying

Start dates
Not on offer, ACU Term 3, ACU Term 4

Overview

In a fast-moving digital industry, this degree equips you to keep pace with the latest advancements.

Accredited by the Australian Computer Society (ACS), recognised by the Seoul Accord, the program integrates Microsoft certifications and builds a strong foundation in cyber security, data science and AI, business analytics, web and mobile development, and contemporary programming languages. The Master of Information Technology course develops future-ready IT professionals who can apply technology thoughtfully, guided by ethical, legal, and social awareness..

  • 95% graduates employed

  • Top 10 Catholic universities globally

  • Top 40 young universities worldwide

Work placement

Students can undertake real IT projects with organisations as part of the student consultancy hub.

Accreditation

This degree is accredited by the Australian Computer Society (ACS). The Australian Computer Society is recognised internationally by the Seoul Accord. This means that our ACS-accredited programs satisfy the international standards and processes set by the Accord.

Careers

Our graduates have pursued careers in:

- Fullstack Developer

- Web Developer

- Mobile Developer

- Software Developer

- Software Engineer

- Progammer

- IT Project Manager

- IT Consultant

- IT Support 

- IT Trainer

- Database Administrator

- Data Scientist

- Data Analyst

- Machine Learning Engineer

- Cyber Security Analyst

- Cyber Security Consultant

- Network Engineer

Course details

Course structure

Course map

Open all

Please note: Course maps are subject to change.

Commencing ACU Term 1

  • Foundation UnitsITEC610Introduction to Data Science with Python10 cp
  • Foundation UnitsITEC612Modern Information Technology Infrastructure10 cp
  • Foundation UnitsITEC617Modern Database Management10 cp
  • Foundation UnitsITEC619Programming Fundamentals10 cp
  • Skills Units by Study Areas:ITEC621Advanced Programming Principles10 cp
  • Skills Units by Study Areas:ITEC614Cyber Security Concepts10 cp
  • Skills Units by Study Areas:ITEC613Machine Learning with Scikit-Learn

    (Pre: ITEC610)

    10 cp
  • Skills Units by Study Areas:ITEC622Data Analytics and Visualisation

    (Pre: ITEC617 and ITEC610)

    10 cp

Commencing ACU Term 3

Graduate statement

Insight

As an MIT graduate, you demonstrate critical self-awareness, professional identity, and autonomous learning. You respond ethically to technological change, guided by justice, equity, and human dignity.

Empathy

You value cultural diversity and engage respectfully with communities, including Australia’s First Peoples. Your ICT practice promotes inclusion, accessibility, and social responsibility

Imagination

You apply creativity, critical thinking, and innovation to design technology solutions that address complex challenges and contribute to a sustainable digital future.

Impact

You lead ethical digital transformation by communicating effectively and collaborating across diverse contexts, making a meaningful impact in your profession and community.

AQF framework

Masters (Coursework) - AQF Level 9

Exit Points

A student who has completed the requirements prescribed for the Graduate Certificate in Information Technology and Graduate Diploma in Information Technology may exit from the course with the relevant award.

Entry requirements

An applicant must also comply with the Admission to Coursework Programs Policy.

To be eligible for admission to the course, an applicant must have completed the following prerequisites:

  1. Equivalent of an Australian bachelor’s degree in any discipline

International applicants need to meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy.

Disclaimer: The course entry requirements above are for 2026 Admission.

Applicants with higher education study

To be eligible for admission to the Master of Information Technology Online, applicants must meet one of the following criteria:

  1. An undergraduate degree in a cognate discipline such as Computer Science, Information Systems, Information Technology, Mathematics, Statistics, Economics, or Engineering; OR
  2. A Graduate Diploma in Data Science, Computer Science, or a related discipline; OR
  3. A Bachelor’s degree in a non-cognate discipline and at least two years of relevant professional experience in data science, data analytics, business intelligence, or information technology, demonstrating readiness for advanced study; OR
  4. Evidence of equivalent prior learning and/or relevant industry certifications, such as AWS, Microsoft, or Google Cloud data credentials, demonstrating capability for postgraduate study in data science.

Advanced standing or recognition of prior learning (RPL) may be granted for comparable postgraduate study or completion of recognised professional certifications in data analytics, machine learning, or cloud computing.

You can use our credit search tool to see what you might be eligible for. For more information about credit and recognition of prior learning at ACU, follow the link below.

Search our credit database

Learn more about recognition of prior learning

Applicants with work and life experience

Demonstrated sufficient IT capability, normally evidenced by at least two years of relevant professional experience in information technology, data science, data analytics, business intelligence; OR

Evidence of equivalent prior learning and demonstrated capability through relevant industry certifications or professional experience, such as AWS, Microsoft, Google Cloud, or other recognised data and analytics credentials.

Inherent requirement

There are essential components of a course or unit that demonstrate the capabilities, knowledge and skills to achieve the core learning outcomes of that course or unit. You will need to be able to meet these inherent requirements to complete your course.

Learn more about inherent requirements for your course and how they affect you

Fees

Course costs

Average first year fee*

$9536 CSP
$25192 Fee-paying

*This is an indicative first-year fee based on the tuition fee rates for a full-time student, using unit enrolment data from domestic students who studied the course in the previous year.

A student’s annual fee will vary depending on factors including:

  • Number of units studied per year
  • Choice of major or specialisation
  • Elective units

The University reviews fees annually.

You can view current course costs and domestic tuition fee rates by unit.

Payment options

You should be able to concentrate on getting good marks instead of worrying about how you’ll pay your fees. We have a number of options that can help you ease the financial burden, including government assistance, scholarships and income support. 

Explore your options 

Scholarships

You could be eligible for one of the hundreds of scholarships we award each year to help students from across the university with the cost of studying, accommodation or overseas study opportunities. Some of our scholarships are awarded on the basis of merit, but these aren’t just for the academically gifted; ACU also recognises excellence in community engagement and leadership. We also offer a range of scholarships for those who may be struggling financially or who have faced other barriers to accessing education.  

Search our scholarships  

Apply for this course

ACU Online Applicants

Deferment

Deferment is available for one year. Find out more about deferment.

Staff Profile

Dr Walayat Hussain

Associate Professor, Peter Faber Business School

Dr Walayat Hussain is an associate professor within the discipline of Information Technology at Peter Faber Business School. He has an academic and industry experience of more than 17 years. Before joining the ACU, he was a lecturer at Victoria University Melbourne, lecturer and a Post-doctoral Research Fellow at the University of Technology Sydney for seven years. He worked as an Assistant Professor and postgraduate program coordinator at the department of Computer Science at BUITEMS University for many years. He holds a PhD, Master, Postgraduate Diploma, and Bachelor's (Hons.) degrees in Computing and Information Systems from the UTS, AIT, BUITEMS, and Hamdard University.

Walayat has developed and revitalised multiple postgraduate and undergraduate subjects of Information. Walayat's research areas are Service Computing, Business Intelligence, AI, Information Systems, Computational Intelligence, Machine Learning, and Decision Support Systems. 

Dr Kamanashis Biswas

Senior Lecturer – IT, Peter Faber Business School

Dr Kamanashis Biswas is a Lecturer in Information Technology at Peter Faber Business School. He is also an adjunct lecturer at School of ICT, Griffith University. Before starting his role at ACU, he worked as an Associate Lecturer at Griffith University for one and half years. He also worked as a faculty at Daffodil International University, Bangladesh for about four and half years. His research interests include blockchain technology, design and development of lightweight security protocols, energy efficient and secure routing, intrusion detection systems, security issues in MANETs and WSNs. He has published more than 50 peer reviewed papers in various journals and conferences including IEEE, ACM, Springer and Elsevier. 

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