Department of Decision Sciences


The Department of Decision Sciences offers courses in two colleges, the College of Economic and Management Sciences (CEMS) and the College of Science, Engineering and Technology (CSET). The courses are at the following levels:

  • Undergraduate (three years full time, 4-6 years part time)
  • Honours (one year full time, 2-4 years part time)
  • Master's (two years full time, 2-4 years part time)
  • Doctoral (two years full time, 3-6 years part time)

Undergraduate qualifications

Modules in Decision Sciences can be taken as a major (e.g. Operations Research or Quantitative Management) for the following undergraduate degrees

  • BCom Generic (98314 – GEN)
  • BCom Quantitative Management (98311 - QMA)
  • BSc General (98801 - GEN)

Honours degrees & postgraduate diplomas

  • BCom Hons Financial Modelling (98350)  
  • BSc Hons Operations Research (90078)

Master's (M) and doctoral (D) qualifications

  • Master of Commerce (MCom) in Quantitative Management (98701)
  • Master of Science (MSc) in Operations Research (98597)
  • Doctor of Philosophy (PhD) in Operations Research (98598)

Prospective students may apply for admission to MSc/MCom or PhD programmes through the Unisa online system. Please attach all relevant and requested documentation. As of June 2015, we also accept M and D students outside the normal Unisa registration periods.  When admitted, students have to complete a research proposal successfully, before admission to the dissertation / thesis part.

For pre-application advice regarding Master's and Doctoral qualifications and a possible recommendation that could expedite the process, prospective students are advised to study the admission requirements on the Unisa website and then submit the following information by e-mail to for preliminary advice:

  • A comprehensive CV
  • A certified copy of your ID document or passport photo page
  • A full academic record (official transcripts)
  • A copy of the Honours research project (for admission to the Master's) or Master's dissertation (for admission to the PhD)
  • A brief statement of interest (of approximately one page in length) outlining a research topic or topic(s) of 
  • Any previous Unisa student number(s) if applicable

Modules Offered:

Find lecturer details here

Module Code Name Lecturers
BNU1501 Basic Numeracy Dr Makamba, Ms Ncube, Dr Kama
QMI1500 Elementary Quantitative Methods Dr Seitshiro, Ms Khambule, Prof P Potgieter
DSC1520 Quantitative Modeling I Ms Nkomo, Prof Mukeru
DSC1630 Introductory Financial Mathematics

Mr Kubjana, Dr Mathebula

DSC2602 Rational Decision Making Dr Singh, Dr Mudimu
DSC2604 Financial Modelling Prof Malan, Mrs van der Merwe, Prof Mulaudzi
DSC2605 Linear Mathematical Programming Mr Mpanda, Prof Mashele
DSC2606 Nonlinear Mathematical Programming Prof P Potgieter, Mr Mpanda
DSC2608 Mr Kubjana, Dr Makamba, Prof Jankowitz
DSC3702 Optimisation of Resources Mrs Strydom, Dr Kama, Dr Xaba
DSC3703 Simulation Dr Mudimu, Prof Mukeru
DSC3704 Models for Strategic Decision-making Dr Xaba, Prof PH Potgieter, Dr Mabe-Madisa
DSC3705 Financial Risk Modeling Prof Mulaudzi, Prof Mashele 
DSC3706 Selected Topics for Operations Research  Prof Davie, Mr Kama
DSC3707 Mathematical Modelling II Dr Mabe-Madisa, Dr Singh
DSC4812 Forecasting Prof Jankowitz, Prof Mathebula
DSC4821 Stochastic Modelling Prof Mukeru, Dr Mudimu, Dr Singh
DSC4823 Discrete Optimisation Prof P Potgieter, Prof Swanepoel, Ms Nkomo
DSC4824 Introduction to Heuristics Prof Davie, Prof Fouche, Prof Mukeru, Dr Khambule
DSC4825 Financial Modelling I Prof Mulaudzi, Mr Mpanda, Mr Kubjana
DSC4826 Financial Modelling II Prof PH Potgieter, Prof Mashele, Dr Seitshiro
DSC4828 Prof Malan, Prof Swanepoel, Mrs van der Merwe
DSC4830 Research Project  Prof Jankowitz, Prof Mathebula, Dr Makamba

Last modified: 2021/12/20