The curriculum for the MSc (eScience) coursework degree programme comprises 180 credits of coursework and a research component. One of the key features of the curriculum is a capstone project that runs parallel with coursework modules in the first year of study. During the capstone project, students will go through the entire cycles of solving a real-world data science problem, collecting and processing real-world data, designing methods to solve the problem, and implementing a solution. The capstone project and coursework prepare the student for the mini-dissertation problem supervised by an expert.
- Honours degree in either statistics, mathematics, computer science, physics, or related fields
- Demonstrable knowledge of basic principles of probability and statistics, computing, calculus and linear algebra or an admission examination may be required
- A weighted average of at least 65% at final-year level, but students with a weighted average of 70% or more will receive preference
Promotion to next study year
The progress of all master’s candidates is monitored biannually by the supervisor and the postgraduate coordinator. A candidate’s study may be terminated if the progress is unsatisfactory or if the candidate is unable to finish his/her studies during the prescribed period.
Subject to exceptions approved by the Dean, on recommendation of the head of department, and where applicable, a student may not enter for the master’s examination in the same module more than twice.