Yearbooks

Programme: BScHons Biostatistics

Code Faculty Duration Credits
10244010 Faculty of Health Sciences Duration of study: 1 year

Programme information

The following requirements are set:

  • Advanced instruction by means of self-tuition, lectures and seminars.
  • Students must pass the module TNM 800 Applied research methodology 800.
  • Students must pass the module PHM 770 Learning in public health 770.
  • Students must pass a research report (or project) that carries at least 30 credits.

Admission requirements

- A candidate must hold a bachelor's degree deemed acceptable by the head of department for the proposed field of study or an equivalent qualification deemed acceptable by the Senate of the University for the proposed field of study with at least one applicable biological subject as major subject.

- Admission to the study for an honours degree is subject to the approval of the head of department: with the proviso that a candidate who has obtained an average of less than 60% in the modules of his or her major subject in the final year of the bachelor's degree study may only be admitted with the Dean's approval on the recommendation of the head of department. Additional requirements may be set by the head of department.

 

 

Additional requirements

In order to be eligible to enrol for the BScHons in Biostatistics, candidates must have a bachelor’s degree with Statistics as a major subject on 100, 200 and 300 level.

Examinations and pass requirements

  1. The individual modules in each field of study must all be passed with a mark of at least 50% in each module, before a student may graduate in that field of study.
  2. Each field of study has a specified, externally moderated, summative assessment that must also be passed before the student may graduate.

Pass with distinction

The degree is conferred with distinction on a student who has obtained an average of at least 75% in the summative assessment, as well as an average of at least 75% for the remaining components of the curriculum (i.e. excluding the summative assessment mark).

Minimum credits: 120

Core modules

  • Module content:

    Basic introduction to biostatistical theory and use of Stata software to perform basic data analysis.

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  • Module content:

    The principles of epidemiology including applied epidemiology (eg infectious disease epidemiology, clinical epidemiology and operational research). The use of EpiData software for questionnaire design and data collection.

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  • Module content:

    Matrix algebra. Some multivariate measures. Visualising multivariate data.  Multivariate distributions. Samples from multivariate normal populations. The Wishart distribution. Hotelling’s T ² statistic. Inferences about mean vectors.

    View more

  • Module content:

    The matrix normal distribution, correlation structures and inference of covariance matrices. Discriminant analysis. Principal component analysis. The biplot. Multidimensional scaling. Exploratory factor analysis. Confirmatory Factor analysis and structural equation models.

    View more

  • Module content:

    Special introduction to fundamentals in Executive Leadership in health
    The emerging student will be taught the fundamentals in executive leadership in healthcare systems which will form the basic platform or foundation for understanding the challenges for application of leadership modalities at the different levels of healthcare service delivery in the public health service and how to begin to think and analyse how the principles of executive leadership at their level of appointment can improve health service delivery.

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  • Module content:

    Matrix methods in statistics. Simple and multiple regression models. Sums of squares of linear sets. Generalised t- and F-tests.  Residual analysis. Diagnostics for leverage, influence and multicolinearity. Indicator variables. Regression approach to analysis of variance. Weighted least squares. Ridge regression. Theory is combined with practical work.

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  • Module content:

    *Attendance module only

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  • Module content:

    Seminar to be written up on a selected topic in Biostatics and presented before the Epidemiology andandnbsp;Biostatics track staff.andnbsp;

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  • Module content:

    andnbsp;A project agreed to with the head of the sub-track: Biostatics. This project should be written up in the format described in the Schooland#39;s postgraduate brochure. It will be subject to external moderation.

    View more

Minimum credits: 120

Core modules

  • Module content:

    Basic introduction to biostatistical theory and use of Stata software to perform basic data analysis.

    View more

  • Module content:

    The principles of epidemiology including applied epidemiology (eg infectious disease epidemiology, clinical epidemiology and operational research). The use of EpiData software for questionnaire design and data collection.

    View more

  • Module content:

    Matrix algebra. Some multivariate measures. Visualising multivariate data.  Multivariate distributions. Samples from multivariate normal populations. The Wishart distribution. Hotelling’s T ² statistic. Inferences about mean vectors.

    View more

  • Module content:

    The matrix normal distribution, correlation structures and inference of covariance matrices. Discriminant analysis. Principal component analysis. The biplot. Multidimensional scaling. Exploratory factor analysis. Confirmatory Factor analysis and structural equation models.

    View more

  • Module content:

    Special introduction to fundamentals in Executive Leadership in health
    The emerging student will be taught the fundamentals in executive leadership in healthcare systems which will form the basic platform or foundation for understanding the challenges for application of leadership modalities at the different levels of healthcare service delivery in the public health service and how to begin to think and analyse how the principles of executive leadership at their level of appointment can improve health service delivery.

    View more

  • Module content:

    Matrix methods in statistics. Simple and multiple regression models. Sums of squares of linear sets. Generalised t- and F-tests.  Residual analysis. Diagnostics for leverage, influence and multicolinearity. Indicator variables. Regression approach to analysis of variance. Weighted least squares. Ridge regression. Theory is combined with practical work.

    View more

  • Module content:

    *Attendance module only

    View more

  • Module content:

    Seminar to be written up on a selected topic in Biostatics and presented before the Epidemiology andandnbsp;Biostatics track staff.andnbsp;

    View more

  • Module content:

    andnbsp;A project agreed to with the head of the sub-track: Biostatics. This project should be written up in the format described in the Schooland#39;s postgraduate brochure. It will be subject to external moderation.

    View more


The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of each student to familiarise himself or herself well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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