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Master of Information Technology nested with
Graduate Certificate in Information Technology and Graduate Diploma of Information Technology

The course structure includes a total of 15 subjects covering both practicum and theory. Note: IT5004.20 Capstone Project is a double-weighted subject delivered over two semesters. The program has a general stream as well as the possibility to specialise in either Artificial Intelligence (AI) or Cyber Security (CS). The ASCED Field of Education is Information Technology. The course completion leads to the award of Master of Information Technology specialised in AI or CS. MIT is a specialist, master’s level course with an innovative and interdisciplinary curriculum that aims to fulfil the skills gap and market demand in the ICT industry by equipping students with the most in-demand hard and soft skills relevant in the sector.

Course Information

CRICOS Course Code


Professional Accreditation

Accreditation to be sought from the Australian Computer Society


Total 15 subjects


Level 4, 131 Queen Street, Melbourne VIC 3000

Assessment Method

Given the AQF level of the Course, a variety of assessment methods will be used (including personal portfolio, reflection, oral presentation, quizzes, in-class tests, examinations and research thesis)

Course of Study

MIT is a 4-semester course. To qualify for the MIT award at least 160 points must be completed successfully.

Course Duration

104 weeks or 24 months (International Students)
Part time 36 - 48 months (Domestic Students)

AQF Level

Master degree (level 9)(ASCED Field of Education: 0299 - Other Information Technology)

Total Course Fee

A$50,000 (Tuition Fee)

A$300 Enrollment Fee (Non Tuition Fee)

Credit Points

160 CP (40 CP per semester)


Full Time

Delivery Mode

Face–to-Face Delivery at UHE campus

Course Structure

Year 1

Semester 1

Semester 2

Year 2

Semester 1 - General Stream

Semester 1 - Artificial Intelligence Specialization

Semester 1 - Cyber Security Specialization

Semester 2 - General Stream

Semester 1 - Artificial Intelligence Specialization

Semester 2 - Cyber Security Specialization

Artificial Intelligence
Cyber Security
Professor & Students



Elective Subjects

No electives provided. The course is structured around a team-based skills acquisition and application path requiring consistent cohorts for group assessments.

Course Progression Rules

  1. Students must earn a minimum Pass or Satisfactory assessment for all subjects to progress through the course.

  2. Students who fail any one subject will need to repeat that subject in the following semester (If that subject is a pre-requisite) or during the next semester offered.

  3. Students who fail a subject twice require permission from the course coordinator to enrol a third time as they may exceed the maximum time limit for completing their course (as per the UHE Course Progress Policy). During that semester, they must take a reduced load (no more than 30 credit points).​

Pre-Requisites for Specific Subjects

Enrolment in Year 1 and 2 subjects requires satisfactory completion of each preceding year.

  • IT4001.10 - Computer Networks and Applications - Pre Requisite for IT4007.10, IT4008.10

  • IT4003.10 - Database Systems - Pre Requisite for IT5002.10, 

  • IT4006.10 - Information Security Fundamentals - Pre Requisite for IT5008.10, IT5009.10

  • IT5002.10 - Data Analytics and Visualization - Pre-Requisite for IT5015.10

  • IT5001.10 - Introduction to AI and Machine Learning - Pre Requisite for IT5005.10, IT5006.10, IT5007.10

  • IT5008.10 - Applied Cybersecurity - Pre Requisite for IT5010.10, IT5011.10, IT5012.10

Delivery Mode

Face to face for all subjects. 

Entry Requirements


  • Successful completion of Undergraduate degree from a recognized university or other approved tertiary institution which includes satisfactory completion of at least three units of Mathematics, Computer Science, Engineering, Science, or another quantitative discipline.


  • Successful completion of an Undergraduate degree from a recognized higher education institution, with a GPA of at least 2.0 out of 4.0.

  • Some background or experience in a relevant discipline (including Mathematics, Computer Science, Engineering, Science, or another quantitative discipline) would be an advantage. Applicants who have successfully completed a relevant degree with a GPA of at least 1.5 out of 4, will be considered if they have at least 5 years of relevant industry experience.

  • Valid minimum scores include:

    • IELTS overall score of 6.5 with no band less than 6.0, or

    • TOEFL iBT overall score of 79, or

    • PTE overall score of 58+ with no communicative skill below 50

Professional Accreditation

No professional accreditation or registration is required for graduates to practice professionally.

Assessment Method​

  • All written materials are to be submitted in English.

  • Subjects are assessed by criteria-referenced scoring to indicative grades subject to moderation of Fail (F: 0-49%), Pass (P: 50-64%), Credit (65-74%), Distinction (75-84%), and High Distinction (85-100%). 

  • Each 10CP subject will normally require progressive submission of three or more assignments.

  • 20CP Capstone Project subject will normally require three assessments including submission of a comprehensive project documentation.

  • Project group subjects are assessed by combined individual and group achievement scores. Individual achievement is assessed by continuous observed performance and participation throughout production. Group achievement is assessed at completed project screening stage with all credited crew receiving the same component score.

Course Learning Outcomes

1. Advanced Knowledge and Skills of Information Technology

Graduates of the Master of Information Technology will apply advanced knowledge and expertise to analyze, design, and implement solutions to solve real-world problems in the evolving field of information technology.

2. Critical-Thinking and Problem-Solving Skills

Critically assess and synthesize information and apply critical-thinking and problem-solving skills to solve complex business problems.

3. Communication and Collaboration Skills

Graduates of the Master of Engineering Management will have problem solving and design management skills to be able to analyze and solve engineering management problems to achieve solutions and implementation
strategies using established principles and methods, considering contextual factors (social, cultural, environmental, commercial, legal) and the requirements and expectations of stakeholders.

4. Ethical Accountability

Demonstrate professionalism, integrity, ethical conduct, and a sound awareness of regulatory requirements and professional practices in the Information Technology profession.

5. Research and Innovation

Apply research knowledge and skills to plan, design, and recommend innovative solutions to complex problems in the evolving field of Information Technology using emerging concepts, technologies, and tools.

UHE Graduate Capabilities

Knowledge and skills pertinent to a particular discipline or professional area encompassing:

  • Coherent theoretical and practical knowledge in at least one discipline area at the level of entry to a profession.

  • Technological skills appropriate to the discipline.

Critical, creative and analytical thinking, and effective problem-solving including:

  • The ability to critique current paradigms and contribute to intellectual inquiry.

  • The capacity to exhibit creative as well as analytical ways of thinking about questions in at least one discipline.

  • The ability to identify, define and solve problems in at least one discipline area.

Effective communication in a variety of contexts and modes including:

  • Effective written and oral communication in cross-cultural contexts.

Characteristics of self-reliance and leadership including:

  • The ability to take the initiative, to embrace innovation, and to manage change productively.

The ability to work independently and collaboratively including:

  • Managing time and prioritizing activities to achieve goals.

  • Demonstrating the capacity for self-assessment of learning needs and achievements.

  • Being a cooperative and productive team member or leader.

The capacity for life-long learning including:

  • Searching and critically evaluating information from a variety of sources using effective strategies and appropriate technologies.

Social and ethical responsibility and an understanding of Indigenous and international perspectives encompassing:

  • Active contribution to intellectual, social, and cultural activities.

  • Understanding and appreciation of Indigenous perspectives.

  • Recognition and appreciation of gender, culture and customs in personal and community relations.

  • Valuing and promoting truth, accuracy, honesty, accountability and the code of practice relevant to the discipline or professional area.

Course Employment Outcomes

Analyst Programmer

Security Analyst

Systems Administrator

Network Analyst

Cloud Developer

Cybersecurity Manager

Software Developer

Systems Analyst

Data Scientist

Software Engineer

Business Analyst

Network Engineer

Database Administrator

Cloud Architect

Application Developer

Database Analyst

MIT - Fee Structure

Enrolment Fee 
(Non- Tuition Fees)


Semester 2


Total Tuition


Semester 3


Semester 1


Semester 4


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