Master of Information Technology

A research‑driven postgraduate degree that equips you to solve complex ICT challenges through advanced analytical capability, technical depth and industry‑aligned research.

Lead Innovation Through Research That Matters.
Develop advanced research capability while solving complex technology challenges that shape industries, organisations and society.

The Master of Information Technology is a research‑driven postgraduate degree centred on the completion of a full dissertation. The programme develops research‑capable ICT professionals who can apply advanced knowledge and technical depth to address complex digital challenges and contribute to innovation across industries.

Who Should Apply

Ideal for working professionals with an IT qualification who want to specialise in cybersecurity, strengthen technical capability, or move into applied cybersecurity roles.

Career opportunities

Programme Structure

The programme is structured around a full research dissertation, supported by early‑stage research preparation to ensure readiness for proposal development and independent study.

Core Components

Research Focus Areas

Working professionals may pursue research within four specialised areas aligned to academic expertise and industry relevance:

1. Mathematical Modelling and Computational Science

Modelling, simulation and optimisation for advanced systems and analytical innovation.

2. Software Engineering and Secure Digital Infrastructure

Design and development of secure, scalable and high‑performance digital systems.

3. Data, Analytics and Intelligent Business Systems

Transforming data into actionable insight for improved decision‑making and intelligent system design.

4. Emerging Intelligence and Advanced Systems

Next‑generation technologies including AI, autonomous systems, simulation and human–technology interaction.

Skills You Will Develop

Complex Problem Framing:

The ability to identify and frame complex ICT challenges.

Research & Analysis:

Advanced research and analytical capability.

Domain Expertise:

Technical depth across chosen research domains.

Solution Translation:

The skills to translate business needs into effective technology solutions.

Digital Leadership:

Confidence to lead digital initiatives and innovation.

Stakeholder Communication:

The ability to communicate insights to both technical and non-technical audiences.

Why Study This Qualification

Admissions & Application

Admission Requirements

To be considered for admission, you must have:

  • An NQF Level 8 qualification in IT or a related field, such as:
    • Bachelor Honours Degree.
    • 480‑credit Bachelor’s Degree.
    • Postgraduate Diploma.
  • A minimum weighted average of 65%
  • A 30‑credit research component

Applicants may also need to demonstrate research readiness through:

  • A brief research concept or area of interest
  • Evidence of prior research experience
  • Alignment between proposed research and available supervision capacity

Admission is selective and subject to supervisor availability.

Required Documentation

Additional Research Readiness Documents

Applicants may also need to demonstrate research readiness through:

Admission depends on academic eligibility, research readiness and supervision capacity.

Further Study Opportunities

Progression depends on research readiness and institutional requirements.

How to Apply

Applications are submitted online through the Belgium Campus iTversity portal.

Advance Your Career

Prof Japie Greeff Head of Master’s Programme Belgium Campus iTversity

[email protected]

Frequently Asked Questions

Is this programme suitable if I’m working full time?

Yes. The research‑driven structure and flexible supervision model support working professionals.

The minimum duration is two years. Some students may require additional time depending on the scope of their research.

Yes. The programme is centred on a full dissertation supported by structured supervision.

You should have a 30‑credit research component or equivalent experience. Additional preparation may be required.

You may choose from four focus areas: Modelling, Software Engineering, Data & Analytics, or Emerging Intelligence.

Yes. Students receive academic supervision and, where appropriate, industry co‑supervision.

Yes. RPL for Access is available for applicants who can demonstrate research readiness and professional capability.

You will receive supervision, research guidance, academic support and structured engagement throughout your research journey.

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