Welcome to the School of Statistics and Actuarial Science!

Welcome to the School of Statistics and Actuarial Science at the University of the Witwatersrand, where data meets decision-making, and risk meets rigour. As part of a globally top-ranked university, our school plays a pivotal role in preparing future statisticians and actuaries to thrive in a world driven by data, uncertainty, and complex systems.

Our programs combine a strong theoretical foundation with practical applications, empowering students to contribute to and address real-world challenges in finance, insurance, healthcare, technology, and government. With strong academic staff, state-of-the-art research, and deep ties to industry, we offer a world-class education that is both intellectually rigorous and professionally relevant.

Whether you're passionate about uncovering insights from data or quantifying and managing financial risk, you’ll find a vibrant, forward-looking academic home in this school.

South African Statistical Association 2026 Annual Conference hosted by Wits University!

The School of Statistics and Actuarial Science at the University of the Witwatersrand is delighted to host the Annual Conference of the Statistical Association of South Africa (SASA) between 23 and 27 November 2026.

The School of Statistics and Actuarial Science at the University of the Witwatersrand is delighted to host the Annual Conference of the Statistical Association of South Africa (SASA) between 23 and 27 November 2026. The conference will bring together statisticians from across South Africa and beyond for a vibrant, in?person gathering focused on statistical theory, multivariate analysis, biostatistics, machine learning, and related areas. Preceding the main conference, a series of insightful workshops will offer hands?on engagement and skills development, while an exciting line?up of national and international speakers will provide global perspectives on contemporary statistical research and practice. We look forward to a meaningful opportunity to network, exchange ideas, and advance the statistical community, spanning postgraduate students, early career researchers, established academics, and industry practitioners. More details available at this link.