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Programme: PhD Mathematical Statistics

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Code Faculty
02260612 Faculty of Natural and Agricultural Sciences
Credits Duration NQF level
Minimum duration of study: 2 years Total credits: 360 NQF level:  10

Programme information

A candidate must complete a thesis in one of several fields in Applied Statistics or Mathematical Statistics in which research is actively being done within the Department. Details are available from the Head of Department of Statistics as well as in the departmental brochure. Refer to the Departmental website for further information.

 

Duration of studies
The doctorate is conferred on a student only if one of the following periods has expired:

  1. At least four years after complying with all the requirements for a three-year bachelor’s degree.
  2. At least three years after complying with all the requirements for a four-year bachelor’s degree.
  3. At least two years after complying with all the requirements for a bachelor’s degree of five years or more.
  4. At least two years after complying with all the requirements for a master’s degree.
  5. With the exception of a shorter period that may be approved by the Dean, at least 12 months since registration for the doctorate at this University has expired.

The relevant head of department may set specific residential requirements for students who are required to live on campus.

Renewal of registration
Subject to other faculty regulations, a student for a doctorate must complete his or her studies within three years after first registering for the degree. Under special circumstances, the Dean, on the recommendation of the relevant head of department or the Postgraduate Committee, may give approval for a limited fixed extension of this period.

Curriculum
The curriculum for the PhD degree consists of the following:

  1. Theoretical knowledge of the major subject/s and such additional modules as may be prescribed.
  2. A thesis.

General
Candidates are required to familiarise themselves with the General Regulations regarding the maximum duration of study and the requirements to submit an article/s for publication.

Admission requirements

  • A relevant master’s degree in Mathematical Statistics is required. A minimum average mark of 65% or more in the MSc (Mathematical Statistics) or in an applicable master’s degree at an accredited institution is required.
  • Students from other accredited institutions will be required to pass an entrance examination.
  • Student numbers are limited to a maximum of 10, collectively over all doctoral programmes in the Department of Statistics. Selection is based on performance in the prior degree.
  • Admission is also subject to the availability of a suitable supervisor for the study.
  • Additional entrance requirements as specified by the head of the department.

Other programme-specific information

Subject to other faculty regulations, a student for a doctoral degree must complete his or her studies within four years after first registering for the degree. Under special circumstances, the Dean, on the recommendation of the head of department, may give approval for a limited fixed extension of this period. (Also see the General Regulations.)

Examinations and pass requirements

  1. Consult the General Regulations that apply to the calculation of marks.
  2. In order to obtain the PhD degree the candidate must:
  • pass the examinations and the prescribed modules, as determined in the study programme;
  • pass the thesis; and
  • pass the final examination on the thesis and general subject knowledge.

Promotion to next study year

The progress of all doctoral candidates is monitored biannually by the supervisor and the postgraduate coordinator. A candidate’s study may be terminated if the progress is unsatisfactory or if the candidate is unable to finish his/her studies during the prescribed period.

Minimum credits: 360

All doctoral students in Statistics/Mathematical Statistics should enrol for STK 911 which is a compulsory but non-credit-bearing module. The satisfactory completion of this module is a prerequisite for embarking on the research component of the degree programme.

Core modules

  • Module content:

    A compulsory bootcamp must be attended as part of this module – usually presented during the last week of January each year. Details regarding the venue and specific dates are made available by the department each year. The bootcamp will cover the basics of research to prepare the student for the research component of their degree. Students can be exempt from the bootcamp if it has already been attended in a previous year or for a previous degree. Each year of registration for the doctoral degree will also require the attendance of three departmental seminars. Students should ensure that their attendance is recorded by the postgraduate co-ordinator present at the seminars. The department approves the seminars attended.

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Minimum credits: 360

Core modules

  • Module content:

    A compulsory bootcamp must be attended as part of this module – usually presented during the last week of January each year. Details regarding the venue and specific dates are made available by the department each year. The bootcamp will cover the basics of research to prepare the student for the research component of their degree. Students can be exempt from the bootcamp if it has already been attended in a previous year or for a previous degree. Each year of registration for the doctoral degree will also require the attendance of three departmental seminars. Students should ensure that their attendance is recorded by the postgraduate co-ordinator present at the seminars. The department approves the seminars attended.

    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 students to familiarise themselves 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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