Stellenbosch University
Master of Commerce in Statistics
The Master of Commerce in Statistics in Mathematics is offered by Stellenbosch University.
Program Length: 1 YEAR.
Master of Commerce in 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.
Assessment and examinationExaminations in the coursework are written at the end of the second semester in November. A student must submit an assignment resulting from independent research plus supplementary work that may be required by the Department.Programme contentCredits:-In the case of the Coursework and Assignment option (889): At least 180 credits. The assignment of 60 credits is compulsory.-In the case of the Coursework and Thesis option (879): A thesis of 90 or 120 credits and further credits from advanced coursework to obtain a total of at least 180 credits.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 moduleStatistics (Coursework and Assignment option)Statistics (Full Thesis option)In the case of the Coursework and Assignment option (889) the Assignment: Statistics module is compulsory.Research Assignment: StatisticsIn the case of the Coursework and Thesis option (879) the Thesis: Statistics module must be selected.Thesis: Statistics BothElective modules (to make up at least 180 credits together with the assignment or thesis) Each module: 15 creditsAdvanced sampling techniquesAdvanced Statistics AAdvanced Statistics BApplied Extreme Value TheoryBootstrap and other Resampling Techniques ABootstrap And Other Resampling Techniques BMulti-dimensional scaling AMulti-dimensional scaling B