Overview
Here at University of Cape Town 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.
Core Courses:
- Databases for Data Scientists - 12 credits
- Visualization - 12 credits
- MIT: Programming in Python - 12 credits
- Multivariate Analysis - 15 credits
- Data Science for Industry - 15 credits
- Statistical and High-Performance Computing - 12 credits
- Supervised Learning - 18 credits
- Unsupervised Learning - 12 credits
- Exploratory Data Analysis - 12 credits
Elective Courses:
- Data Science for Astronomy - 12 credits
- Data Science for Particle Physics - 12 credits
- Bioinformatics for high-throughput biology - 15 credits
- Data Science for Industry - 12 credits
- Decision Modelling for Prescriptive Analytics - 12 credits
- Bayesian Decision Modelling - 15 credits
- Data Analysis for High-Frequency Trading - 15 credits
- Data Visualization - 12 credits
- Programming in Python - 12 credits
- Advanced Regression - 15 credits
- Machine Learning - 15 credits
- Advanced Portfolio Theory - 15 credits
- Simulation & Optimization - 15 credits
- Longitudinal Data Analysis - 15 credits
- Survival Analysis - 15 credits
- South African Financial Markets - 15 credits
- Risk Management of Financial Instruments - 15 credits
- Financial Systems Design - 15 credits
- Topics in Financial Management - 30 credits
- Capital Markets & Financial Instruments - 30 credits
- Empirical Finance - 30 credits
- Fintech & Cryptocurrencies - 24 credits
- Applied Time Series Analysis - 15 credits
- Microeconomics - 15 credits
- Advanced Econometrics - 15 credits
Programme Structure
Courses include:
- Databases for Data Scientists
- Visualization
- Statistical and High Performance Computing
- Supervised Learning
- Exploratory Data Analysis
- MIT: Programming in Python
- Multivariate Analysis
- Data Science for Industry
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Cape Town, South Africa
Disciplines
Data Science & Big Data View 8 other Masters in Data Science & Big Data in South AfricaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
A mark of at least 65% for a HEQSF level 8 qualification (equivalent to that of a UCT degree) in any discipline that included a substantial research component and at least a first year Statistics course and a first year Computing Course. Students may be required to register for and pass STA1000P (the summer term offering of STA1000) before being allowed to register for the degree. Academic transcripts of applicants will be assessed by a selection committee made up of representatives from the participating departments. Applicants may be called for an interview to assess whether they meet entrance requirements.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Tuition Fees
-
International Applies to you
Applies to youNon-residents142910 ZAR / year≈ 142910 ZAR / year -
Domestic Applies to you
Applies to youCitizens or residents79210 ZAR / year≈ 79210 ZAR / year
Additional Details
- SADC Fees: 79210 ZAR
- Non-SADC Fees: 126810 ZAR
- Rest of the World Fees: 142910 ZAR
Living costs
Cape Town
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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