Doctor of Philosophy in Mathematical Statistics
Explore the SAQA dataset information, NQF level and approved career relationships for this qualification.
About this qualification
This is a doctoral-level qualification focused on mathematical statistics within the Mathematical Sciences field. It is intended for advanced study and the development of expertise in the theoretical and mathematical aspects of statistics.
Who might consider this qualification?
People seeking advanced academic or research-focused study in mathematical statistics, particularly those interested in developing specialist expertise beyond earlier higher-education qualifications, might consider it. Whether it is suitable depends on the institution’s current admission and academic requirements.
How this qualification may support career preparation
The qualification may support progression towards research, higher-education, statistical, quantitative-analysis and mathematically focused roles. It does not guarantee employment, appointment, professional registration or entry into any particular career.
Skills this qualification may help develop
- Advanced mathematical reasoning
- Statistical analysis
- Quantitative problem-solving
- Independent research
Official dataset information
- Qualification title
- Doctor of Philosophy in Mathematical Statistics
- SAQA ID
- 73909
- NQF sub-framework
- HEQSF
- NQF level
- 10
- Minimum credits
- 360
- Field
- 10
- Subfield
- Mathematical Sciences
- Originator
- University of Johannesburg
- Registration end in source dataset
- 2023-06-30
Before enrolling
- Verify the qualification’s current SAQA registration status, as the supplied record includes a registration-end date snapshot of 30 June 2023 and does not confirm current registration.
- Confirm that the institution and specific programme are currently authorised to offer the qualification.
- Check the provider’s current admission requirements and whether your prior qualifications and academic background are suitable.
- Ask the provider about the qualification structure, research expectations, supervision arrangements and assessment requirements.
- Confirm any applicable requirements for research, ethics, data access or workplace participation before making an enrolment decision.