Master of Information Technology

Course information for - 2023 entry

Offered at 1 locations

Study mode
Attendance, Multi-mode
Duration
2 years full-time or equivalent part-time
Fees (first year)*

$28000 Fee-paying

Start dates
Semester 1 intake: Not available
Midyear (Semester 2) intake: Beginning July 2023
Applications open April 2023

Overview

In a fast-moving digital industry you need a degree that will equip you to respond to the latest advancements. 

Accredited by the Australian Computer Society (ACS), recognised by the Seoul Accord, and with Microsoft certifications in Microsoft Power Platform, Microsoft Azure Cloud Platform and Microsoft Azure Data Fundamentals incorporated into the units this degree reflects on, and responds to, the ethical, legal and social issues that shape the IT sector and facilitates workplace or industry-related projects to ensure you graduate job-ready and well-placed to take advantage of industry opportunities. All our units are embedded with the United Nations sustainable goals.

The Master of Information Technology has been designed to provide you with a strong foundation in the cutting-edge technologies of cyber security, data science and artificial intelligence, business analytics, web and mobile application development, and contemporary programming languages such as Python, Java, R, and C#.

  • Top 2% universities worldwide

  • Top 10 Catholic universities globally

  • Top 40 young universities worldwide

Professional experience

Global tech company Cisco provides a 10-week mentoring program for our students.


Work placement

In addition to the mentoring program with Cisco students can also 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

Industry partnerships

Our partnership with CISCO provides students with mentoring opportunities.


Course details

Course structure

To complete the Master of Information Technology, a student must complete 160 credit points (cp).

View course rules

Sample program map

Year - Study periodUnit 1Unit 2Unit 3Unit 4Unit 5

Year 1 - Semester 1

ITEC610 Introduction to Data Science with Python

ITEC617 Modern Database Management

ITEC614 Cyber Security Concepts

ITEC618 Programming Concepts

Year 1 - Semester 2

ITEC611 Computer Networks data-versionlabel=2 >

ITEC615 Information Technology Essentials

ITEC624 Network Security and Applications

ITEC627 Advanced Programming Concepts

Year 2 - Semester 1

ITEC613 Machine Learning with Scikit-Learn

ITEC622 Data Analytics and Visualisation

ITEC633 Information Technology Masters Project data-versionlabel=2 >

Year 2 - Semester 2

Business Elective

ITEC623 Deep Learning and Emerging topics in Artificial Intelligence

ITEC632 Data Mining Techniques and Applications

ITEC637 Web and Mobile Application Development

This is a sample program only and units will vary depending on your campus and mode of study. Please refer to the handbook for the prerequisite units and the current listing.

AQF framework

Masters (Coursework) - AQF Level 9

Exit Points

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

Students who complete the required combination of units may exit with a:

  • Graduate Certificate in Application Development
  • Graduate Certificate in Data Analytics
  • Graduate Certificate in Cyber Security
  • Graduate Certificate in Data Science

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 2023 Admission.

Applicants with higher education study

Students whose first language is other than English need to meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy.

 If your previous study has equipped you with knowledge, skills or experiences that align with the learning outcomes of units in your new course you may be able to apply for recognition of prior learning and you may be able to complete your course sooner.

Learn more about recognition of prior learning

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*

$28000 Fee-paying

All costs are calculated using current rates and are based on a full-time study load of 40 credit points (normally 4 units) per semester.

A student’s annual fee may vary in accordance with:

  • the number of units studied per semester; 
  • the choice of major or specialisation; and 
  • elective units.

The University reviews fees annually.

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 

How to apply

Domestic applicants

Direct application

Apply now

Deferment

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

Staff Profile

Dr Haifeng Shen

Associate Professor and the Discipline Leader of Information Technology, Peter Faber Business School

Dr Haifeng Shen is an Associate Professor and the Discipline Leader of Information Technology in the Peter Faber Business School at Australian Catholic University (ACU). Before joining ACU in 2019, he had been a Lecturer/Senior Lecturer in the School of Computer Science, Engineering and Mathematics at Flinders University in Australia since 2009 and an Assistant Professor in the School of Computer Science and Engineering at Nanyang Technological University in Singapore from 2003 to 2009. Dr Shen also has over six years working experience in industry as a software engineer, computer system administrator and programmer before becoming an academic.

Dr Kewen Liao

Senior Lecturer – IT, Peter Faber Business School

Dr Kewen Liao is currently a Senior Lecturer in Information Technology (IT) and Master of IT Coordinator in the Peter Faber Business School at Australian Catholic University (ACU). Previously, Dr. Liao was a Lecturer in Information Technology at Charles Darwin University (CDU) Sydney. Dr. Liao's research and teaching interests are data science and algorithms.

Dr. Liao was a Research Fellow in Data Analytics at Swinburne University of Technology (SUT) and a Postdoctoral Researcher in Big Data and Algorithms at The University of Melbourne (UoM). Dr. Liao has also worked as a Research and Development Engineer in Computer Vision and Machine Learning at Canon Information Systems Research Australia with a US patent.

Dr. Liao holds a PhD (with focus on algorithms) and a First Class Honours Bachelor (with focus on software engineering) both in Computer Science from The University of Adelaide (UoA). Dr. Liao did undergraduate exchange at University of Illinois at Urbana-Champaign (UIUC), USA.

 

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