There is huge interest and focus on the availability of lots of data, generated through financial systems, medical research, astronomical investigation, social media and the realisation that a special skills set is needed to makes sense of this data and allow information to lead to knowledge and decisions. As a result universities over the world have started programs in either Data Science, Analytics, Machine Learning, or Artificial Intelligence and Institutes have been formed. The Alan Turing Institute, established in 2015 in the UK with headquarters in the British Library, describes Data Science as follows:

“As the amount of data we generate increases, so does our need to understand and use that data. Data science is the fundamental science behind data analytics, and draws on various existing sciences in response to that need: the mathematical sciences, the computing sciences, the social sciences, software engineering and domain expertise from multiple industries and sectors.”

The focus is also shifting to include Artificial Intelligence. Data Science and AI are connected in that through its extraction of knowledge and insights from data, Data Science helps AI to find solutions to problems. Machine Learning is the process of learning from data over time and provides the link between Data Science and AI.

In South Africa, many universities have established programs in Data Science, including the National e-Science Postgraduate Teaching and Training Platform (NEPTTP) offered by a consortium of 5 universities (UP,WITS, NWI, UL and UNIVEN), the undergraduate program in Data Science offered by Sol Plaatje university, the Big Data Science program offered by University of Pretoria, honours and masters programs in Data Science offered by the University of the Western Cape  and the new Data Science and Computational Thinking School of the University of Stellenbosch.

Here at UCT we have a masters program in Data Science, offered by the Department of Statistical Sciences, in collaboration with the departments of Computer Science, Information Systems, Astronomy, Physics, Integrated Medical Sciences, Finance and Tax and Economics.

The features of the program is based on the premise that Data Science refers to the art of learning from data and that the required knowledge come from three areas, Statistical Sciences, Computer Science and the Domain Science. It is thus an interdisciplinary program where the core methodological modules are taught by the departments of Statistical Sciences and Computer Science, while the elective modules are taught by the domain experts in Astromomy, Physics, Computational Biology (Health Sciences), Finance and Tax and Economics.

Entry to the program requires a good honours degree with a significant quantitative component. The program is structured so that we can accept a range of students with varying backgrounds in Statistics, Mathematics and Computers Science and we are able to tailor each student’s curriculum to the background skills with which they enter the program.

It is a coursework masters program where students do coursework during their first year, followed by a dissertation component. The main structure allows for 90 credits of coursework and a 90 credit dissertation. We are offering an additional alternative option of 120 credits coursework and 60 credit dissertation from 2020. The structure of the program is attached.

The masters program in Advanced Analytics is closely aligned to the Data Science program and is aimed at students who come in excellent honours level Statistics.