e-Science University of the Witwatersrand, Johannesburg

Overview

This Master’s programme is meticulously crafted to train postgraduate students in utilising statistical methods for conducting data-driven research across the social sciences and humanities. It aims to foster an interdisciplinary approach, preparing students for the burgeoning field of Data Science, which is increasingly vital for enhancing service delivery and boosting a competitive knowledge economy in South Africa. Graduates will emerge as proficient researchers, ready to contribute to academia and various sectors, including public and private organisations.

As part of the DSTI-funded National e-Science Postgraduate Teaching and Training Platform (NEPTTP), students will begin their coursework at Wits University in Johannesburg during the first year. Following the completion of their coursework modules, they will return to their Home Institutions for the second year of study. This unique structure not only facilitates a diverse learning experience but also encourages collaboration with various industry partners.

The Master's programme extends over a period of 18 to 24 months of full-time study, ensuring that students receive a comprehensive education that encompasses both theoretical knowledge and practical skills. The curriculum is designed to align with national priorities, thereby contributing to the development of a skilled workforce adept in data science methodologies.

The University of the Witwatersrand is renowned for its strong academic reputation and commitment to research excellence. With state-of-the-art facilities and a collaborative environment, students benefit from partnerships with various industry stakeholders, enhancing their educational experience and employability. The programme’s emphasis on interdisciplinary learning equips graduates with a unique skill set that is highly sought after in the job market.

The tuition fees for the MA in e-Science are as follows:

• International Fee: ZAR 57,700 per full year
• National Fee: ZAR 57,700 per full year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum consists of both compulsory and elective modules, allowing for a comprehensive educational experience. Students must complete modules totalling 180 credits, which include:

• Research Methods and Capstone Project in Data Science (15 credits)
• Data Privacy and Ethics (15 credits)
• Statistical Computing and Inference for the Social Sciences and Humanities (30 credits)
• Statistical Modelling for the Social Sciences and Humanities (15 credits)
• Applied Data Science for the Social Sciences and Humanities (15 credits)
• Research Report: Data Science (90 credits) - Year 2 at Home Institution

This structured approach ensures that students not only gain theoretical knowledge but also develop practical skills essential for their future careers.

Graduates of the e-Science programme can explore a variety of career opportunities, particularly in roles that require expertise in data-oriented research within the social sciences and humanities. Potential career paths include positions in academic institutions, social and policy research organisations, and sectors such as legal, finance, healthcare, and technology. The unique combination of social science or humanities knowledge with data science skills provides graduates with a competitive edge in the job market.