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Mathematical Modelling for Infectious Diseases

Short Courses

The Mathematical Modelling of Infectious Diseases Short Course will run again in May 2018. Applications will open in late 2017.

The Department of Statistical Sciences will be hosting a two week short course on the Mathematical Modelling of Infectious Diseases. 

With increases in computing power and renewed efforts in the global fight against  diseases like malaria, dengue and TB, mathematical modelling is fast becoming a tool to guide public health policy. This short course will focus on the application of mathematical modelling and computer simulation to predict the dynamics of infectious diseases to evaluate the potential impact of policy in reducing morbidity and mortality.

Topics covered include compartmental models, spatial models, introduction to agent based models, economic evaluation methods and more. The course is practically focused along with a series of lectures and guest seminars.

This course is aimed at postgraduate students in Science and Health Sciences faculties and health-based researchers interested in the field of mathematical modelling for infectious diseases and public health policy. 

Date: 8 - 19 May 2017 (excluding weekends)

Time: 9am to 4pm

Venue: University of Cape Town

Course fee: ZAR 8500

Note: UCT Students wishing to attend this course in lieu of a Masters Module will need to register for STA5066Z  offered by the Department of Statistical Sciences. Please indicate this on the application form. 

The course fee covers registration and lunch only. Accommodation and other meals will be for the participant's account.

Requirements: Attendees are required to have previous exposure to quantitative training. Basic skills in R programming (or any other language) is required. Participants are also required to bring a laptop to the course.

Please return the application form to Mrs Celene Jansen-Fielies at by no later than 2 May 2017.


Accommodation is available at the UCT campus and at establishments near UCT. Please consult the list below for accommodation options. Other options may be found online.

  • All Africa House - (At UCT)
  • Little Scotia - (walking distance)
  • Rondebosch Manor -
  • Protea Hotel Mowbray - (contact: Zandri Kemp –

Where are we?

Department of Statistical Science, Level 5 PD Hahn Building, Upper Campus, University of Cape Town, Rondebosch, Cape Town 7700.

Directions to UCT