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Meet the rising demand for tech talent with Swinburne’s MIT program.

Meet the rising demand for tech talent with Swinburne’s MIT program.

Master of Information Technology

N/482/7/0163 (26.10.2027) | MQA/PSA 14000

The Master of Information Technology provides the knowledge and skills required to design, develop and maintain complex systems using state-of-the-art technologies and methodologies. It will provide you with advanced skills and introduces state-of-the-art techniques used in the design and construction of IT solutions, and research skills needed to assess the effectiveness of a solution or technology.

Students also have the opportunity to apply their skills through industry-related project work, including industry-linked projects for real clients. This project work can demonstrate students’ skills and knowledge to potential future employers.

The program incorporates units from the Graduate Diploma of Information Technology and Graduate Certificate of Information Technology.

INTAKES
February, September

DURATION

  • 1.5 years full-time or equivalent part-time (non-cognate entry)
  • 1 year full-time or equivalent part-time (cognate entry)

Course details

Course structure and duration

To qualify for the award of Master of Information Technology students must complete 14 units of study (200 credit points) as follows:
  • Six (6) IT core units (75 credit points)
  • One (1) Specialisation (100 credit points) consisting of:
    • Two (2) core units (25 credit points)
    • Four (4) technology projects (75 credit points)
  • Two (2) electives (25 credit points)
The duration of study is 1.5 years full-time or 3 years part-time. Students will undergo three long semesters of 9 weeks and two short semesters of 6 weeks. Each unit of study has a minimum 6 hours of class contact time per week or its equivalence. Classes are normally held on weekday evenings, or on Saturdays. Students who have an undergraduate background in computer science / information and communication technology may be exempted from one semester of study (4 units) thus completing the program within 1 year.

Course learning outcome

On successful completion of this Course students will be able to:

  • Demonstrate a coherent understanding of the fundamental aspects of ICT solutions including the use of a range of tools and techniques for requirements capture, solution design and construction, and project management
  • Apply a coherent and advanced knowledge of Information Technology, critically evaluate trade-offs, and create innovative solutions to complex problems with intellectual independence
  • Communicate information proficiently to a variety of audiences, demonstrating scholarship of ICT foundations, as well as recent advances in the ICT field within the context of an IT specialisation
  • Reflect on, and take responsibility for their own learning, manage their own time and processes effectively by regularly reviewing personal performance as a means of managing continuing professional development
  • Apply knowledge of research principles and methods to plan and execute a piece of research with independence demonstrating the ability to analyse, process and synthesise complex information
  • Demonstrate personal discipline, scholarship of the field, critical thinking, and judgment by completing a substantial capstone project using contemporary techniques

Units of study

To be eligible for the award of Master of Information Technology, students must complete 14 units of study (200 credit points) comprising of 12 units of study (12.5 credit points) and two (2) double unit of study (25 credit points).

Core units

Complete all 6 units (75 credit points):

Specialisation

Complete 6 units (100 credit points) from one of the following specialisations:

Data Science

Cybersecurity

Elective units

Choose 2 elective units from the following list

*Outcome units – matched exemptions are generally not granted for higher education outcome units

Study planner for cognate entry

Students who exempted from one semester of study (4 units) must complete 10 units of study (150 credit points) as follows:

Specialisation in Data Science

S1 2022S2 2022S3 2022S4 2022
COS60008
Introduction to Data Science
COS80023
Big Data
COS80025
Data Visualisation
COS80021
Web Application Development
COS60011
Technology Design Project
ElectiveElectiveCOS80001
Cloud Computing Architecture
COS70008
Technology Innovation Project
COS80029
Technology Application Project

Specialisation in Cybersecurity

S1 2022S2 2022S3 2022S4 2022
COS60011
Technology Design Project
COS80023
Big Data
COS60009
Operating System Management
COS80021
Web Application Development
ElectiveCOS80013
Internet Security
ElectiveCOS80001
Cloud Computing Architecture
COS70008
Technology Innovation Project
COS80029
Technology Application Project

Fees & scholarships

Fee*

Malaysian students
RM49,440 total
International students
RM59,320 total

* Fees are subject to annual review and may be adjusted.

Scholarships

At Swinburne scholarships are about providing opportunity, promoting equity and recognising excellence and achievement. Scholarships are available for both commencing and current students.

Find your scholarship

Entry requirements

Prerequisite

Apply for this course by following the step-by-step process from the links below.

Entry Requirements

  • A recognized Bachelor’s degree with a minimum CGPA of 2.75, or
  • A Bachelor’s Degree or its equivalent, with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment process, or
  • A Bachelor’s Degree or its equivalent, with CGPA less than 2.50, with a minimum of 5 years working experience in a relevant field may be accepted.

English Requirements

  • IELTS 6.5 (no individual band below 6.0)
  • TOEFL (Internet based) of 79 (Reading no less than 18; Writing no less than 20)

Career opportunities

The Master of Information Technology provides graduates from non-IT backgrounds a path to move into a career in IT. Graduates will have the knowledge and skills that allows them to undertake professional work at an advanced level in the field of Information and Technologies (ICT). Graduates who specialised in Cybersecurity will develop the skills and knowledge required to identify, demonstrate, diagnose, and fix flaws and threats in software systems. They will learn about system security, penetration testing, incident response, security management, reverse engineering, and ethical hacking. They will be equipped to seek employment in the following areas:

  • Cybersecurity Analyst, Security Systems Manager, Cryptographer, Consultant/Advisor, Cybersecurity Coordinator/ Operations/Project Manager, Security System Developer, Security Solution Sales, Network/Cybersecurity Engineer/Architect, Security Solutions Sales
Graduates who specialised in Data Science will learn how to gain meaningful insight from data obtained from business, government, scientific and other sources. Expand the knowledge and understanding of computer science and data analytics, develop skills in state-of-the-art techniques and contemporary tools covering the entire data management lifecycle. They will be equipped to seek employment in the following areas:

  • Data Science Developer, Data Scientist, Data Engineer, Data/Statistical Analyst, Data Modeller/Architect, Machine Learning Engineer, Big Data Engineer

Graduates can also pathway into research and further learning.

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