Bachelor of Commerce specialising in Statistics and Data Science | UP

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Commerce specialising in Statistics and Data Science at the University of Pretoria is a three-year degree jointly presented with the Faculty of Natural and Agricultural Sciences, equipping students with strong numerical, computational, and analytical skills to extract business insights from data. Students learn statistical theory, data analytics, programming, machine learning, and the application of data science techniques to business problems — including understanding how social media platforms personalise content and how data-driven decisions are made. The programme is suited to students with strong numerical skills, an interest in computers and programming, logical reasoning ability, and interest in planning and analysing problems. Graduates are in strong demand as the data economy transforms South African business, government, and research.

Admission requirements: English (Home or First Additional Language): Level 5 (60-69%); Mathematics: Level 5 (60-69%); APS: 32 (excluding Life Orientation).

Admission requirements
SubjectMinimumRequirement
Mathematics60%Required
English Home Language or English First Additional Language60%Required

Career Prospects

Data Scientist – Apply machine learning, statistical modelling, and programming skills to solve business problems and extract insights from large datasets for South African banks, retailers, or technology companies.
Business Intelligence Analyst – Build dashboards, reports, and analytical models to support strategic decision-making at South African organisations using tools such as Power BI, Tableau, or Python.
Statistician – Apply statistical methods to research, quality control, and decision support problems for South African government departments, research councils, or financial institutions.
Data Engineer – Design and build data pipelines, storage systems, and analytical infrastructure for South African businesses managing large and complex datasets.
Quantitative Analyst – Develop mathematical and statistical models for financial risk, pricing, and investment decisions at South African banks or asset management companies.

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