Yearbooks

Programme: MIT

Code Faculty Duration Credits
12254014 Faculty of Engineering, Built Environment and Information Technology Minimum duration of study: 2 years Total credits: 180

Programme information

This degree programme is presented in English only.

Also consult G Regulations G.30 to G.54

The curriculum is determined in consultation with the programme organiser.

A student will have to apply to the Dean of the Faculty of Engineering, Built Environment and Information Technology if he/she requires more than three years to complete the degree.

Admission requirements

  1. Subject to the stipulations of Gen. Reg. G.1.3, G.30 and G.62, an appropriate honours or bachelor’s degree is a requirement for admission to Stream A and Stream B; and an honours degree is an admission requirement for Stream C.
  2. A pass mark in Mathematics at grade 12 level or another qualification in Mathematics, Statistics or Mathematical Statistics, which the Chairperson of the School of Information Technology considers to be sufficient. This requirement is not applicable to Stream C.
  3. Sufficient appropriate practical experience in the technology field in the opinion of the Chairperson of the School of Information Technology. This requirement is not applicable to Stream C.
  4. The Chairperson of the School of Information Technology may impose additional requirements for admission. In particular, this will apply to candidates with insufficient academic background in Information Technology. This requirement is not applicable to Stream C.
  5. Selection of candidates will take place.
  6. The result of the selection is final and no correspondence will be entered into.

See additional requirements for Stream C: Big Data Science below.

  1. A minimum pass rate of 65% for the previous degree, AND
  2. Successfully completed higher education modules, or other modules with similar content, as part of the previous degree in:
  • Statistics, 
  • Calculus I, 
  • Linear Algebra I, 
  • Programming, 
  • Database systems, and 
  • Research Methods; AND
  1. Success in the selection process based on:
  • Previous education, 
  • passing an English test, and 
  • passing a proficiency test in Databases, Programming, Mathematics and Statistics. 

Examinations and pass requirements

A minimum semester mark of 40% is required in order to be admitted to the final examinations in all the prescribed modules of the degree. A final mark of 50% is required to pass all coursework modules and the mini-dissertation.

Discontinuation of studies
The Dean may, on the recommendation of the admissions committee, cancel the studies of a student who fails more than one module. A module may only be repeated once.

Deregistration of modules
Deregistration of modules for Stream C is only allowed before the early deadline.

Conferment of the degree
The Master's degree in Information Technology Stream A and Stream B is conferred on a student who successfully completes the following:

  • Mini-dissertation – 90 credits
  • Core modules – 90 credits
  • Total – 180 credits

The Master's degree in Information Technology Stream C is conferred on a student who successfully completes the following:

  • Mini-dissertation – 90 credits
  • Core modules – 55 credits
  • Research methods – 5 credits
  • Projects – 20 credits
  • Elective modules – 10 credits
  • Total – 180 credits 
     

Pass with distinction

The degree is conferred with distinction on students who have obtained at least 75% for the mini-dissertation and a minimum of 75% weighted average final mark for the coursework modules.

Minimum credits: 74

Core modules

Elective modules

  • Module content:

    Example courses, amongst others, may include: Cyber-security, Digital Forensics, Deep Machine Learning, Image and sound analysis, Feature extraction, and Graph Modelling. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

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  • Module content:

    Example courses, amongst others, may include: Cyber-security, Digital Forensics, Deep Machine Learning, Image and sound analysis, Feature extraction, and Graph Modelling. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

    View more

  • Module content:

    Example courses may include: Intelligent systems and Internet of Things. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

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  • Module content:

    Example courses may include: Intelligent systems and Internet of Things. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

    View more

  • Module content:

    See existing electives from MIT modules in Stream A and B. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

    View more

  • Module content:

    See existing electives from MIT modules in Stream A and B. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

    View more

  • Module content:

    Five credits of an elective module can be drawn from Information Science. A module in Research Data Management (RDM) is available as an elective. The following topics would typically be covered: Open Science and the dependency on open (big) data, The research process and the life cycle of big data (data management plans to publishing derivative data sets, licensing and legal implications); managing (curating) big vs long tail data; solving problems with research data vs the business value of big data (data-intensive decisionmaking); managing data as an asset (also data citation); issues and challenges involved in the management of big data (principles and best practices for effective big data governance); trusted data repositories; data stewardship frameworks for big data; and the data steward’s toolbox.

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  • Module content:

    Five 5 credits of an elective course can be drawn from the Department of Statistics. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

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  • Module content:

    Five 5 credits of an elective course can be drawn from the Department of Statistics. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

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  • Module content:

    Five 5 credits of an elective course can be drawn from Mathematics and Applied Mathematics. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

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  • Module content:

    Five 5 credits of an elective course can be drawn from Mathematics and Applied Mathematics. In addition to study-leader approval, elective course selection may be subject to course pre-requisites, course availability, and internal departmental regulations as decided by the Head of the Department.

    View more

Minimum credits: 106

Core modules


The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of each student to familiarise himself or herself well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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