MSc in Data Analytics
Programme Overview
A specialist postgraduate degree focusing on Data Analytics. Modules cover state-of-the-art techniques in the areas of data analytics, data science and cloud computing. This degree is part of the MSc Advanced Computing Technologies programme.
For students who do not have a first degree in Computer Science, we offer the MSc Data Science.
For information regarding entry requirements, attendance, timetables, course content and how to apply for the programme, see MSc Advanced Computing Technologies.
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Aims
This is a specialised MSc programme of study of data analytics and data science focusing on areas of expertise and research specialisation within the Department of Computer Science and Information Systems. Students take a majority of their 8 modules in these areas, supplementing these with other specialist options.
Students build upon this taught curriculum through a substantial practical project in the area of data analytics. Students who complete this MSc will have gained strong practical and theoretical knowledge which they will be able to use in:
- analysis of problems arising in data analytics
- evaluation of technology options
- deployment of appropriate solutions
- research into, and development of, new technologies.
Features
The programme is a pathway within the MSc Advanced Computing Technologies programme. Once on the programme, students may choose to follow a pathway to the award of MSc Data Analytics if they satisfy the following criteria.
Of the 8 taught modules taken on the programme, a minimum of 5 modules must be chosen from the module list below, reflecting specialisation within the the area of data analytics. Additionally, the project should have a main focus in the area of data analytics.
Modules
Programme specific modules
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Lecturer(s): Richard Brownlow
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Lecturer(s): Paul Yoo
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Lecturer(s): Stelios Sotiriadis
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Lecturer(s): Cen Wan
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Lecturer(s): Alessandro Provetti
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Lecturer(s): George Magoulas
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Lecturer(s): Dell Zhang
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Optional modules
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Lecturer(s): Igor Razgon
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Lecturer(s): Peter Wood
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Lecturer(s): George Roussos
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Lecturer(s): Keith Mannock, Trevor Fenner
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Lecturer(s): Michael Zakharyaschev
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Lecturer(s): Keith Mannock