BIEMANN
Technology · Very high demand · scarce skill
Study Data Science in South Africa
Turn raw data into forecasts, decisions and products using statistics, code and domain knowledge.
32–42Typical APS range
3–4 yearsStudy duration
R 360k – R 900kSalary range a year
95/100Growth outlook
School subjects
- Mathematics (70%+)
- English
- Physical Sciences helps
Qualifications
- BSc Data Science
- BSc Mathematical Sciences
- BSc Computer Science & Applied Maths
- BCom Management Science
Skills you will build
- Statistics & probability
- Python / R / SQL
- Machine learning
- Data storytelling
Strong universities for this field
Example programmes and APS
| Programme | University | APS |
|---|---|---|
| BSc Computer Science | University of Cape Town | 42 |
| BSc Computer Science & Applied Maths | University of the Witwatersrand | 42 |
| BSc Mathematical Sciences | Stellenbosch University | 36 |
| BSc Computer Science | University of KwaZulu-Natal | 30 |
| BSc Computer Science | University of Johannesburg | 28 |
| BSc Computer Science | Rhodes University | 30 |
| BSc Computer Science | University of Fort Hare | 22 |
| BSc Computer & Information Systems | University of the Western Cape | 26 |
| BSc Computer Science | University of Limpopo | 24 |
| BSc Data Science | Sol Plaatje University | 24 |
Questions
Data Science: frequently asked
What subjects do I need to study Data Science?
Most institutions look for: Mathematics (70%+), English, Physical Sciences helps. Check each university’s exact minimums.
What APS do I need for Data Science?
Programmes in Data Science typically ask for an APS of about 32–42, depending on the institution and qualification. Calculate your APS.
How long does it take to study Data Science?
Usually 3–4 years for a first qualification, with optional honours or professional years after that.
What can I earn in Data Science?
Typical South African salaries range from about R 360k – R 900k a year, rising with experience and specialisation. Demand is currently very high and the field is on the national scarce-skills list.
