Doctor of Philosophy in Mathematical Statistics
Explore the SAQA dataset information, NQF level and approved career relationships for this qualification.
About this qualification
The Doctor of Philosophy in Mathematical Statistics is a doctoral-level qualification focused on advanced research in mathematical statistics. It is associated with the Mathematical Sciences subfield and is set at NQF Level 10.
Who might consider this qualification?
People interested in pursuing doctoral-level research in mathematical statistics, particularly those considering advanced academic, research or quantitative work. Prospective learners should confirm that their background and experience meet the provider’s requirements.
How this qualification may support career preparation
This qualification may support progression toward research-oriented or academically focused work involving mathematical statistics and quantitative analysis. It does not guarantee employment, appointment, professional registration or entry into any particular career.
Skills this qualification may help develop
- Advanced quantitative reasoning
- Statistical analysis
- Mathematical and statistical research
- Critical evaluation of quantitative evidence
Official dataset information
- Qualification title
- Doctor of Philosophy in Mathematical Statistics
- SAQA ID
- 19212
- NQF sub-framework
- HEQSF
- NQF level
- 10
- Minimum credits
- 360
- Field
- 10
- Subfield
- Mathematical Sciences
- Originator
- University of Fort Hare
- Registration end in source dataset
- 2024-06-30
Before enrolling
- Verify the qualification’s current SAQA registration status, as the available registration record includes an end date of 30 June 2024 and does not confirm current status.
- Confirm that the institution and specific offering are authorised to provide the qualification.
- Check the provider’s current admission requirements and whether your prior qualifications and experience are suitable.
- Ask the provider about the research, supervision, assessment and submission requirements for the doctorate.
- Clarify any attendance, facilities, data-access or workplace-related requirements that may apply to the research process.