The programme will create opportunities for students in the Computer Science, Statistics, Physics, Electrical Engineering or related fields to gain an interdisciplinary perspective on the emerging fields of Data Science.
This programme forms part of the DST-funded National e-Science Postgraduate Teaching and Training Platform (NEPTTP). Students will register with their Home Institution but will attend the coursework component at Wits University in the first year. On completion of the coursework modules, students will move back to their Home Institutions for their second year of study.
The programme comprises compulsory and elective modules. Cross-disciplinary data-driven projects are offered both within the University and from a wide range of industry partners. A candidate must undertake modules to the value of 180 credits and must successfully complete the following courses:
Compulsory courses (Year 1 at Wits)
- Research Methods and Capstone Project in Data Science (15 credits)
- Data Privacy and Ethics (15 credits)
- Adaptive Computation and Machine Learning (15 credits)
- Data Visualisation and Exploration (15 credits)
- Large Scale Computing Systems and Scientific Programming (15 credits)
- Large Scale Optimisation for Data Science (15 credits)
- Mathematical Foundations of Data Science (15 credits)
- Special Topics in Data Science (15 credits)
- Statistical Foundations of Data Science (15 credits)
Research Report (Year 2 at Home Institution)
- Research Report: Data Science (90 credits)
Graduates of the programme can find data-orientated roles within academic institutions, technology, healthcare companies and the finance sector.
Competitive DST-CSIR MSc bursaries, covering tuition, accommodation and stipend, are made available by the Department of Science and Technology (DST) to qualifying offer holders with a record of excellent academic achievement. Priority for bursaries will be given to South African Citizens and Permanent Residents.
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