Universities and Online Degrees Guide

Stellenbosch University

Master of Commerce and Master of Science in Mathematical Statistics

The Master of Commerce and Master of Science in Mathematical Statistics in Mathematics is offered by Stellenbosch University.

Program Length: 1 YEAR.

Master of Commerce and Master of Science in Mathematical Statistics offered by the Stellenbosch University at the Faculty of Economic and Management Sciences

Mathematical Statistics and Statistics: Advanced statistical inference, Bayesian statistics, biostatistics, bootstrap and related computer-intensive techniques, categorical data analysis, consultation practice, data mining, experimental design, extreme value theory, large sample analysis, multidimensional scaling, multivariate statistical analysis, probability models and stochastic simulation, probability theory, non-parametric techniques, sampling theory, S-PLUS and R programming, statistical learning theory, statistical quality control, survival analysis, time series analysis.

Programme Structure

You must submit a thesis of 90 credits and earn further credits from advanced coursework to obtain a total of at least 180 credits.

Duration of Programme

The duration of the programme is at least 12 months and begins one and a half weeks before the general start of classes.

Programme Content

The compulsory and elective modules are presented in the tables below. Depending on circumstances in the Department, some of the modules listed below may not be offered in a specific year and modules can also be offered in different semesters than listed below.

Programme Module

MCom and MSc in Mathematical Statistics 

(coursework plus thesis option)

Compulsory thesis: Mathematical Statistics

(90 credits) Thesis: Mathematical Statistics

Elective Modules

Choose modules from the table below to obtain at least 180 credits together with the thesis. (Each module: 15 credits)

Extreme value theory A 2

Extreme value theory B 2

Advanced sampling techniques 2

Advanced Mathematical Statistics A 1

Advanced Mathematical Statistics B 2

Bootstrap and other Resampling Techniques A 1

Bootstrap And Other Resampling Techniques B

Multi-dimensional scaling A

Multi-dimensional scaling B

Statistical learning theory A

Statistical learning theory B

Assessment and Examination

Examinations in the coursework are written at the end of the second semester in November. You must also submit a thesis resulting from your independent research plus supplementary work that can be required by the Department.