MASTERS IN STATISTICAL SCIENCE - with Specialisation in Data Science
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MASTERS IN STATISTICAL SCIENCE with Specialisation in Data Science
MASTERS IN STATISTICAL SCIENCE
(with Specialisation in Data Science)
The Statistics and Population Studies Department at UWC
in collaboration with the Centre for Business, Mathematics
and Informatics at Northwest University (NWU), has
launched a Masters programme in Statistical Science with
specialisation in Data Science. This new and exciting
programme is sponsored by Imvelo Ventures and SAS.
WHAT IS
DATA SCIENCE?
Data Science is an interdisciplinary
field incorporating Statistics,
Computer Science and
Mathematics to solve complex
problems using advanced analytics.
The advanced analytical algorithms
are developed and used to answer
various questions by using large
quantities of both structured and
unstructured data.
WHY STUDY DATA SCIENCE?
The demand for Data Scientists from industry and the IT
world has increased considerably. As a well-developed Data
Scientist you will have very scarce skills that are globally
sought-after, and can be used to address interesting and
important problems.
WHY STUDY DATA SCIENCE AT UWC?
The Data Science field is industry-driven – and therefore this
degree has been developed with industry partnerships in
place. The dedication of significant resources in terms of both
IT and financial support from our partners help students
master the complexities of Data Science.
HOW WILL I BENEFIT?
In this professional training programme which develops
students for the business environment, you will obtain:
• An MSc Statistical Science degree (with specialisation in
Data Science).
• High-level technical analytical skills.
• Experience in solving complex industry problems.
• Soft skills development.
• Excellent programming skills.
• Experience in big data analytics.
Our programme is gaining recognition in industry as our
students complete their research projects in companies
solving real-world problems. This is a win-win situation for
both academia and industry as we are producing students
who are more “industry-ready” when they graduate.
WHERE CAN I WORK?
Data Scientists mostly work in large companies, but the typical
job description can vary between companies. The job
description according to SAS could include the following:
• Collecting large amounts of unruly data and transforming it
into a more usable format.
• Solving business-related problems using data-driven
techniques.
• Looking for order and patterns in data, as well as spotting
trends that can help a business’s bottom line.
Want to know more? Visit https://www.sas.com/en_za/
insights/analytics/what-is-a-data-scientist.html
DO I QUALIFY?
MSc in Statistical Science (with specialisation in Data Science)
admission requirements:
• Honours degree or equivalent in Statistical or Computer Science.
During the final selection process preference will be given
to applicants who have completed:
• Third-year level Statistics.
• Second-year level Mathematics.
• Postgraduate level Statistical Learning.
• Postgraduate level Machine Learning.
WHAT WILL I STUDY?
• Five exciting business analytics and programming modules.
• An industry-directed research project.
• A real-world industry project.
WHERE DO I APPLY?
Apply online via the University of the Western Cape website
(www.uwc.ac.za).
STUDENT IMPRESSIONS OF
THE PROGRAMME:
“So far, it has been great and challenging – just as I had
expected. I am learning a lot." – SAMUEL MUBENGA
"The project with Capitec has not only allowed me to grow
individually but it has also exposed me to things that I could
expect to see when I enter the industry in the next phase of
my career". – YUSHLY COLLOP
“Through this project, I’ve had the opportunity to learn new
skills and work with members from different work streams
within the company. ...I am indeed applying the skills and
knowledge that I have acquired by enrolling for this Masters
programme". – DIONAH TSHABALALA
From left: First graduates Samuel Mubenga,
Yusrie Sadan and Tayla Wannenberg.
CONTACT US
Prof Renette Blignaut
Department of Statistics and Population Studies
Email: rblignaut@uwc.ac.za
Tel: 021 959-3034
Find us at the Computational and Mathematical Sciences Building
(CAMS) – North Campus
https://www.facebook.com/DataScienceUwc/
@DataScienceUwc
Welcome to our Oasis of Learning
1. West Gate Vehicle 20. Alumni/Senate Building 33. Division for Lifelong
Entrance 21. Campus Protection Learning
2. East Gate Vehicle Services 34. Library and Information
Entrance 22. Creche Science
3. Contractor Gate 23. Environmental Education 35. Chemical Sciences Building
4. Pedestrian Entrance Resource Unit Centre 36. Computational and
5. Station Entrance and Nursery Mathematical Sciences
6. Main Square 24. School of Government Building (CAMS)
7. Library/Mayibuye 25. Jafta's House
Archives 26. Cecil Esau Residence P Parking
8. Main Hall 27. Sports Science and Information
9. Student Centre Squash Courts
10. Admin Blocks 28. Gender Equity Unit
11. Student Enrollment 29. Centre for Performing Arts
Management Unit 30. Theology
12. Stadium/Sports 31. Stores
Administration 32. Cricket Club
13. Pools House
14. Life Sciences Auditorium
15. School of Public Health
16. Education
17. Law/Legal Aid
18. Economic Management
Sciences
19. Arts
36
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