Higher Certificate in Mathematics and Statistics | UNISA

APS Required

points

Duration

1 year(s)

Type

Certificate

Delivery

Distance Learning

Details

The Higher Certificate in Mathematics and Statistics at the University of South Africa (UNISA) is a National Qualifications Framework level 5 open distance learning qualification of 120 credits, with a maximum of three years to complete. It is designed to strengthen students' foundational competence in mathematics and statistics, covering algebra, calculus fundamentals, and descriptive and inferential statistics. Students develop the quantitative reasoning and problem solving skills needed to support data handling and analysis in a range of workplaces, and to build a solid base for further study in the mathematical, physical, or economic sciences. It is especially useful as a bridging qualification for students who need to improve their mathematics before entering a science or commerce degree.

Admission requires a National Senior Certificate (NSC) with at least 30% in the language of teaching and learning and Mathematics at NSC level 3 (at least 40%), or a Senior Certificate (SC) with equivalent passes, or a National Certificate Vocational (NCV) at level 4 with at least 30% in the language of teaching and learning and at least 40% in Mathematics. The admission point score (APS/AS) for this qualification is 15. A recognition of prior learning route is available for applicants who are at least 23 years old, have completed at least Grade 10, and have at least three years of relevant work experience. The SAQA identification number for this qualification is 111954.

Admission requirements
SubjectMinimumRequirement
English Home Language or English First Additional Language or English First Additional Language (NCV)30%Required
Mathematics or Mathematics (NCV)40%Required

Career Prospects

Data Capturer: Record and verify quantitative data for South African businesses and research organisations.
Statistical Assistant: Support data collection and basic analysis at bodies such as Statistics South Africa.
Actuarial Support Clerk: Assist with data preparation in South African insurance and financial services firms.
Research Assistant: Help gather and process numerical data for South African academic and market research projects.
Quantitative Analyst Trainee: Support entry level modelling and reporting in South African analytics teams.

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