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Postgraduate Programmes

BScHons - Microbiology and Biotechnology

  • Postgraduate
  • 1 year
  • Full-time
The BSc Honours in Microbiology and Biotechnology is a 1 year full-time degree. It guides students to critically examine and develop an appreciation of the integrative nature of biology, especially in its applications through biotechnology, disease biology and metagenomics.

MSc - Animal, Plant and Environmental Sciences

  • Postgraduate
  • 1- 2 years
  • Full-time; Part-time
The MSc by dissertation is offered in a wide range of research areas that facilitates an understanding about how the world around us works and the role of different organisms on Earth.

MSc - Archaeology

  • Postgraduate
  • 1 - 2 years
  • Full-time; Part-time
The aim of the?MSc degree?is to offer advanced professional training at the postgraduate level in the field of African archaeology of all periods and rock art studies, and to promote inter-disciplinary exchange between various arts and science disciplines.

MSc - Artificial Intelligence

  • Postgraduate
  • Full-time: 1 year coursework and 1 year research. Part-time: 2 years coursework and 1 to 2 years research
  • Full-time; Part-time
The coursework component of the MSc by Coursework and Research Report in the field of Artificial Intelligence covers topics ranging from computational intelligence, machine learning, multi-agent systems through to computer vision and natural language processing.

MSc - Computer Science

  • Postgraduate
  • 1 year coursework and 1 year research
  • Full-time
The MSc by Coursework and Research Report in Computer Science offers advanced courses in specialised topics within Computer Science. The variety of topics on offer allows you to customise your curriculum to your interests.

MSc - Data Science

  • Postgraduate
  • Full-time: 1 year coursework and 1 year research. Part-time: 2 years coursework and 1 to 2 years research
  • Full-time; Part-time
The MSc by Coursework and Research Report in the field of Data Science gives students an interdisciplinary perspective on the emerging fields of Data Science, which integrates a number of relevant disciplines such as statistics, computing, communication, management, and sociology to turn data into actionable insights.

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