Bachelor of Science (BSc) with Computer Science and Statistics | NWU

Data Scientist
Use machine learning, big data, and statistical methods to analyze and interpret large datasets for businesses, healthcare, and finance.

Machine Learning Engineer
Develop AI models and predictive algorithms for applications in automation, fraud detection, and personalized recommendations.

Business Intelligence Analyst
Leverage data visualization tools and statistical models to provide insights for business decision-making.

Statistical Programmer (SAS/R/Python)
Develop statistical software and data models to support research in healthcare, finance, and social sciences.

Software Developer (Data-Driven Applications)
Design and develop applications that rely on statistical data processing, such as financial modeling or automated forecasting tools.

Actuarial Analyst
Use probability and statistical methods to assess financial risks in insurance, pensions, and banking.

Operations Research Analyst
Apply mathematical optimization and computational techniques to improve efficiency in logistics, supply chains, and business operations.

Quantitative Analyst (Finance & Trading)
Develop mathematical models and algorithms for risk management, portfolio optimization, and algorithmic trading.

Bioinformatics Specialist
Analyze complex biological data, such as genetic sequencing, using statistical and computational methods.

Academia & Research (Computational Statistics & AI)
Conduct research in statistical computing, artificial intelligence, and advanced data modeling for academic institutions and research centers.