Description

The Master of Data Science is designed to provide students with sound theoretical, research and professional skills in data science. 
The programme will further, equip students with skills relevant to create, validate and transform data and derive insight from data. 
Students  will  gain  deepened  knowledge  of  contemporary  data  management  and  analysis  technologies,  including  those  for  data 
collection,  processing  and  storage,  visualisation,  cloud‐based  infrastructure,  and  software  project  management.  More  crucially, 
students will learn how to properly present and communicate results and data‐driven insights to maximise their impact on business 
and industry.
 
Graduates will be capacitated to respond to the need in the industry for advanced data analytics skills, focused on various fields or 
application domains, including customer intelligence, bioinformatics and healthcare, agriculture, engineering, physics and its related 
sciences, computer vision, natural language processing and text analytics. 

With this programme, students will also be able to work with vast amounts of (local and international) data in the industry, business, 
and government, using appropriate techniques and analytical tools and software to conduct data analytics and solve complex data‐
driven problems. They will be independent, with a strong personal and work ethic, and a desire to contribute towards, and effect 
change in the community and broader work environment. The programme is further, designed with an applied research component 
to enable students to contribute to research in Data Science. This is achieved through designing and executing a research study and 
effectively communicating the findings of their research output in the disciplines and fields related to data science, including artificial 
intelligence, machine learning, advanced data management, visualisation, and summarisation. 

Admission Requirements 

Applicants may be considered for admission to this programme if they have a Bachelor Honours degree in any of the following fields:  
Computer Science, Informatics, Information Systems, Statistics, Engineering, Mathematics or Physics at NQF Level 8, or an equivalent 
qualification in a related discipline from a recognized institution with evidence of supervised research. 
  
All applicants’ proficiency in Mathematics  for Data Science will be assessed. Applicants with a deficiency in mathematics  (for data 
science) may be required to enrol for the relevant course to address the gap at the discretion of the Department.
  
Applicants are required to submit the following documents with their applications: 
 
-  A curriculum vitae, highlighting practical experience in Computing, Engineering, or data modelling. Applicants from other fields 
with professional experience in related fields may apply and will need to provide a resume highlighting the scope of experience 
and its relevance to data science.  
-  A written proposal or motivation for undertaking further studies.