Bachelor of Science in Mathematics | WSU

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Science in Mathematics at Walter Sisulu University is a three-year degree at the Mthatha campus that provides the mathematical knowledge needed for placement in jobs requiring significant mathematical maturity, and for further training at higher levels in various specialisations of mathematics. The programme develops rigorous analytical and problem-solving capabilities applicable in finance, computer science, engineering, and academic research. South Africa's need for mathematically trained professionals — to support its financial sector, technology industry, and scientific research base — makes this qualification an excellent foundation for diverse and rewarding career pathways.

English Home Language or English First Additional Language: 50–59% (Level 4)
Mathematics: 60–69% (Level 5)
Physical Sciences: 50–59% (Level 4)
APS: 25

Admission requirements
SubjectMinimumRequirement
Mathematics60%Required
Physical Sciences50%Required
English Home Language or English First Additional Language50%Required

Career Prospects

Actuary (with further study) – Apply advanced mathematical skills to insurance, pension fund, and financial risk analysis through ASSA professional examinations, one of South Africa’s highest-paid professions.
Mathematics Teacher or Lecturer (with PGCE or Masters) – Teach mathematics at secondary school or university level, directly addressing South Africa’s critical shortage of qualified mathematics educators.
Financial Risk Analyst – Model and quantify financial risks in banking, insurance, and investment management using mathematical and statistical methods, aligned with South Africa’s Basel III and Solvency II frameworks.
Cryptographer and Data Security Specialist – Develop mathematical algorithms and cryptographic protocols to secure digital communications and data for government agencies, banks, and technology companies.
Operations Research Analyst – Optimise complex operational systems — from supply chains to healthcare scheduling — using mathematical modelling, linear programming, and simulation techniques.

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