Bachelor of Science in Applied Statistical Science | WSU

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Science in Applied Statistical Sciences at Walter Sisulu University is a three-year degree at the Mthatha campus that provides statistical knowledge in Applied Mathematics, Computer Science, Mathematics, and Statistics with an inclination towards solving technical problems in the marketplace. The programme prepares graduates for careers requiring strong foundations in statistical analysis, data interpretation, and quantitative research methods. In South Africa, where evidence-based policy, health research, financial risk modelling, and business intelligence are growth areas, statisticians with applied skills are in increasing demand across public and private sectors.

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

Statistician – Design surveys, analyse data, and interpret statistical findings for Stats SA, government departments, research organisations, and private sector companies.
Data Analyst – Clean, explore, and visualise business and scientific data to support decision-making in financial services, retail, healthcare, and technology organisations across South Africa.
Biostatistician – Apply statistical methods to clinical trials, public health research, and epidemiological studies for the SAMRC, academic medical centres, or pharmaceutical companies.
Market Research Analyst – Design and analyse quantitative research studies on consumer behaviour, brand performance, and market trends for research agencies and brand owners.
Actuarial Analyst (with further study) – Progress toward actuarial registration by applying statistical and mathematical skills to insurance, pension, and financial risk modelling within the actuarial profession.

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