MASTER OF SCIENCE (e-Science)

Background

The Master of Science in e-Science degree at Sol Plaatje University is completed by coursework and a mini-dissertation research report.

A candidate must successfully complete the following courses to obtain this degree:

– Research Report: Data Science
– Research Methods and Capstone Project in Data Science
– Data Privacy and Ethics

And any four courses from the list below are subject to the approval of the Senate:

– Adaptive Computation and Machine Learning
– Data Visualisation and Exploration
– Large Scale Optimisation for Data Science
– Large Scale Computing Systems and Scientific Programming
– Mathematical Foundations of Data Science
– Special Topics in Data Science
– Statistical Foundations of Data Sciences

This is a research-focused Master of Science (e-Science) degree conferred after accepting a mini-dissertation on an approved topic in the field of Data Science embodying original research as approved by the Senate.

Admission requirements

• The minimum admission requirement is a relevant Bachelor of Science Honours Degree in a relevant discipline in Science (Computer Science, Mathematics, Physics, and Statistics) or an appropriate NQF level 8 qualification.
• A “professional” Bachelor’s Degree with a minimum of 96 credits at Level 8 or a cognate Postgraduate Diploma with demonstrable knowledge of basic principles of Computing, Calculus, Linear Algebra, Probability, and Statistics may also be recognised as meeting the minimum entry requirement to the Master of Science (e-Science) degree programme. 
• Ad eundem gradum students should submit a portfolio of satisfactory evidence of their suitability for admission into the degree to the Head of Department.  
• Students should have at least 65% of all the courses completed in their NQF level 8 qualification. 
• Candidates with less than 65%, who have relevant Industry/professional experience, will be considered upon recommendation from the Head of Department. 
• University’s Policy governs RPL admissions on Recognition of Prior Learning. 
• In addition to the above, admission is dependent upon the supervision capacity of the department in terms of the availability of a supervisor.    

 Programme Structure