The Bachelor of Science at NWU is a rigorous three-year degree that combines two scientific disciplines drawn from mathematics, applied mathematics, physics, chemistry, electronics, computer science, statistics, biochemistry, or related fields. Students develop advanced quantitative reasoning, laboratory skills, and analytical thinking that are foundational to careers in research, technology, engineering, and industry across South Africa. NWU's Faculty of Natural and Agricultural Sciences is equipped with world-class laboratories and research facilities, giving students access to cutting-edge equipment and expert academic staff. The degree is offered at Mahikeng, Potchefstroom, and Vanderbijlpark campuses, with language of instruction varying per campus. Graduates can pursue postgraduate specialisation or enter the workforce in science, technology, and data-intensive industries.
Mathematics: Level 5 (60-69%)
Physical Sciences: Level 4 (50-59%)
APS: 26
Computational Physicist
Develop algorithms and simulations to solve complex physical problems, working in academic research, technology companies, or government labs.
Software Engineer (Physics Applications)
Develop software applications that model physical systems, such as simulations of fluid dynamics, electromagnetic fields, or particle interactions.
Data Scientist (Physics & Computer Science)
Analyze large datasets from scientific experiments using computer science and physics to extract meaningful patterns and insights.
Machine Learning Engineer
Use computational techniques to develop algorithms that can learn from data and make predictions, with applications in fields such as physics research, healthcare, and finance.
Cyber-Physical Systems Engineer
Work with systems that integrate physical processes with computing technology, such as robotics, automation, and embedded systems used in industries like aerospace and manufacturing.
Scientific Programmer
Write and maintain computer programs that help scientists perform simulations, analyze data, and solve physical problems.
Computer Vision Engineer
Apply computer science techniques to enable machines to interpret and analyze visual data, with applications in fields such as robotics, medical imaging, and physics-based simulations.
Quantum Computing Specialist
Work on the development of quantum computers, combining knowledge of physics and computer science to solve problems that classical computers cannot handle.
