Qualification
SAQA ID 19212
NQF Level 10
Registered-data under construction

Doctor of Philosophy in Mathematical Statistics

The purpose of this qualification is to train mathematical statisticians who will be able to do research work in any and every sector of the South African economy. As such they will be able to lecture in both Mathematical Statistics and Statistics. These mathematical statisticians should also be able to work as researchers, extending the frontiers of statistics in all directions.

Source: SAQA official qualification record. Yiba Verified does not own the underlying qualification data shown on this page.

Qualification type

Doctoral Degree

Credits

360

Sub-framework

HEQSF - Higher Education Qualifications Sub-framework

Providers listed

1

Qualification snapshot

Official qualification identity fields captured from the qualification record.

Originator

University of Fort Hare

Quality assurance functionary

CHE - Council on Higher Education

Field

Field 10 - Physical, Mathematical, Computer and Life Sciences

Subfield

Mathematical Sciences

Qual class

Regular-Provider-ELOAC

Recognise previous learning

Y

Important dates

These dates are carried directly from the qualification record.

Registration start

2024-07-01

Registration end

2027-06-30

Last date for enrolment

2028-06-30

Last date for achievement

2031-06-30

Purpose and entry context

Official SAQA text formatted for easier reading.

Purpose and rationale

The purpose of this qualification is to train mathematical statisticians who will be able to do research work in any and every sector of the South African economy. As such they will be able to lecture in both Mathematical Statistics and Statistics. These mathematical statisticians should also be able to work as researchers, extending the frontiers of statistics in all directions.

Entry requirements and RPL

Recognition of prior learning

An Masters degree in Mathematical Statistics or any other indication of sufficient prior learning.

Structure and assessment

Qualification rules, exit outcomes, and assessment criteria from the SAQA record.

Exit level outcomes

Exit level outcomes

  1. Knowledge and understanding of the learners chosen field of research
  2. Knowledge and experience of research methodology
  3. Knowledge and understanding of scientific procedures required
  4. The ability to do and understand a literature survey
  5. Competency in the use of suitable statistical software.

Associated assessment criteria

Assessment Criteria

Assessment criteria will be based on testing the learners knowledge of the chosen field of study and on his/her thesis. In addition other aspects that will be tested are:

  1. Ability to write research proposals
  2. Ability to formulate an hypothesis
  3. Ability to work on one 's own
  4. Ability to collect and relate published contributions
  5. Ability to develop and utilize new ideas
  6. Ability to write about these ideas in a clear and concise manner
  7. Ability to design and manage an experiment
  8. Ability to draw the correct conclusions and apply these to the hypothesis

Formative Assessment

  • Background knowledge evaluation
  • Regular reporting
  • Draft review
  • Assessment of thesis

Summative Assessment

  • Examination of thesis
  • Oral defence of thesis

Progression and comparability

Articulation options

Vertical articulation will be possible for those qualifiers who wish to proceed with a post-doctoral degree.

Notes

As per the SAQA Board decision/s at that time, this qualification was Reregistered in 2006; 2009; 2012; 2015.

NOTES

N/A

Providers currently listed

This reflects provider names published on the official record. It is useful for qualification discovery, but it should not be treated as a substitute for checking the relevant quality body’s latest provider status.

University of Fort Hare

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