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Data Science

The MSc by Coursework and Research Report in the field of Data Science gives students an interdisciplinary perspective on the emerging fields of Data Science, which integrates a number of relevant disciplines such as statistics, computing, communication, management, and sociology to turn data into u

Overview


Generally speaking, Data Science is an emerging transdisciplinary field to study "data". Data Science integrates a number of relevant disciplines such as statistics, computing, communication, management, and sociology to turn data into useful predictions and insights.  MSc by Coursework and Research Report in the field of Data Science aims to train the students to gain an interdisciplinary perspective on the emerging fields of Data Science.

Career Opportunities


Graduates of the programme can find data-orientated roles within academic institutions, technology, healthcare companies and the finance sector.

Curriculum


Compulsory courses:
  • COMS7061A Research Report: Data Science [After completing coursework]
  • COMS7047A Adaptive Computation and Machine Learning
  • COMS7055A Data Privacy and Ethics
  • COMS7056A Data Visualisation and Exploration
  • COMS7060A Research Methods and Capstone Project in Data Science
  • COMS7063A Statistical Foundations of Data Science
 
2 Electives from:
  • COMS7041A Applications of Algorithms
  • COMS7044A Artificial Intelligence
  • COMS7045A High-Performance Computing and Scientific Data Management
  • COMS7048A Multi-Agent Systems
  • COMS7049A Robotics
  • COMS7050A Computer Vision
  • COMS7053A Special Topics in Computer Science
  • COMS7056A Data Privacy and Ethics
  • COMS7057A Large Scale Optimisation and Data Science
  • COMS7058A Mathematical Foundations of Data Science
  • COMS7059A Large Scale Computing Systems and Scientific Programming
  • COMS7062A Special Topics in Data Science
  • COMS7065A Computational Intelligence
  • COMS7066A Natural Language Technology
  • COMS7069A Advanced Topics in Robotics
  • COMS7071A Reinforcement Learning
  • COMS7238A Advanced Digital Image Processing

Entry Requirements


Applicants are required to have a Bachelor of Science with Honours degree from a relevant discipline in Science (Computer Science, Mathematics, Physics, and Statistics) or a relevant NQF level 8 qualification or a relevant Professional Engineering Degree with demonstrable knowledge of basic principles of Algorithms, Computing, Calculus, Linear Algebra, Probability and Statistics.

Applicants require a minimum average of 75 percent. 

University Application Process


  • Applications are handled centrally by the 足球竞彩app排名 Enrolment Centre (SEnC). Once your application is complete in terms of requested documentation, your application will be referred to the relevant School for assessment. Click here to see an overview of the Wits applications process.
  • Please apply online. Upload your supporting documents at the time of application, or via the Self Service Portal.
  • Applicants can monitor the progress of their applications via the Self Service Portal.
  • Selections for programmes that have a limited intake but attract a large number of applications may only finalise the application at the end of the application cycle.

Please note that the Entry Requirements are a guide. Meeting these requirements does not guarantee a place. Final selection is made subject to the availability of places, academic results and other entry requirements where applicable.

International students, please check this section.

For more information, contact the 足球竞彩app排名 Call Centre +27 (0)11 717 1888, or log a query at www.wits.ac.za/askwits.

University Fees and Funding


Click here to see the current average tuition fees. The Fees site also provides information about the payment of fees and closing dates for fees payments. Once you have applied you will be able to access the fees estimator on the student self-service portal.

For information about postgraduate funding opportunities, including the postgraduate merit award, click here. Please also check your School website for bursary opportunities. NRF bursaries: The National Research Foundation (NRF) offers a wide range of opportunities in terms of bursaries and fellowships to students pursuing postgraduate studies. External bursaries portal: The Bursaries South Africa website provides a comprehensive list of bursaries in South Africa.