Master's Degree: Computational Health Informatics Programme (CHIP)

The primary purpose of this programme is to provide advanced and specialised training in biomedical data science and technology. This is a two-year full time degree comprising coursework (Year 1) and a research project (Year 2). A 6-week supervised (unpaid) internship is offered in the first year.

Areas of Learning (Coursework)

  1. Biocomputing
  2. Bioinformatics Programming with Python
  3. Omics Data Mining
  4. Machine learning and Biomedical Data Science
  5. Population Genomics Omics for Industry
  6. Omics Data Generation
  7. Omics-Wide Association Studies
  8. Pharmacogenomics and the Microbiome
  9. Computational Phylogenetics
  10. Introduction to Biomedical and Health Informatics

Admission Requirements

  • Have obtained at least 65% at Honours level (South Africa National Qualification Framework level 8, i.e. a qualification equivalent to a four-year degree), in accordance with UCT’s general graduate admissions criteria.
  • Your qualification should be in any suitable discipline including statistics, general biology, genetics, epidemiology, bioinformatics, computer science or engineering.
  • Have proven proficiency in written and spoken English.
  • Be computer literate and have access to a computer and the internet.

 

You are required to apply online at: apply online by the yearly deadline and will need the following documents:

  • Certified ID
  • Academic transcripts
  • CV
  • A motivation letter (500 words max) delineating your biomedical data science research interests and career goals
Programme convener: A/Prof. Shareefa Dalvie (shareefa.dalvie@uct.ac.za)