Big Data Analytics
The BSc with Honours in the field of Big Data Analytics is a 1 year full-time degree. It was established in response to the needs of both industry and of the scientific community, where massive demand for highly skilled data scientists has emerged.
“Big Data” captures the idea of managing vast amounts of data using a variety of modern computing technologies and infrastructure from a variety of different kinds of sources. To manage, develop and understand the required technologies, people trained in the intersection of subjects ranging from statistics, information and computer science, system design and social sciences are needed. There are individuals who are able to leverage emerging technologies and interact with interdisciplinary teams of specialists. The “BSc Honours in Big Data Analytics” programme is designed by the School of Computer Science and Applied Mathematics at Wits to blend multi-disciplinary subjects together and to provide students with the research and professional skills to master and design smart technologies.
The course will introduce postgraduate computer science students to the field of big data analytics. The course has a focus on strong computational and mathematical foundations embedded in practical application.
Students having completed the course would have been exposed to all facets of the big data analytics pipeline from technology deployment, through machine learning, to optimisation and multivariate statistics. Specifically the course is composed of seven lectured topics, five of which are compulsory and two of which are elective. The five compulsory courses are specifically chosen to give students a broad introduction to big data analytics with the electives being subjects the students can use to specialise their skills.
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As part of the course students are required to complete a hands on research project with a focus on a real world/industry big data analytics problem. Students are encouraged to find mentorship within industry and additional supervision is provided by subject matter experts from within the school. The research project takes the student through all aspects of research design methodology from proposal through literature review to implementation and finally results evaluation. The skills acquired in learning how to do research – critical thinking, written and oral presentation skills, collation and analysis of large amounts of new information, and the actual conducting of research – are invaluable in industry as well as for further study.
Additional Entry Requirements
- A Bachelor of Science degree or equivalent.
- A pass in the relevant major course at this University or any other university whose programme has been approved by Senate.
Admission into the Big Data Analytics Honours programme is highly selective. To be accepted, students must have performed well in their undergraduate degrees (we use a guideline of 65% in third-year level courses, though this is by no means a guarantee of acceptance into the programme).
Contact course coordinator.
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