MSc Data Science and Computational Intelligence
Course Overview
for overall satisfaction in Engineering and Technology
Key Program Highlights
- Comprehensive technical knowledge - get an in-depth understanding of a broad range of concepts, algorithms, models, applications, and issues in data science and computational intelligence.
- Advanced AI applications - engage deeply with complex challenges in natural language processing, reinforcement learning, computer vision, big data management and statistical modelling.
- Ethics and responsibility - learn about critical legal, ethical, social and professional aspects, including responsible AI use, bias mitigation, data protection, transparency and sustainability.
- Research-informed teaching - study a course that has been designed in collaboration with Coventry University’s Centre for Computational Science and Mathematical Modelling. Our current research staff are involved in teaching some modules, supervising student projects and using current research to inform curriculum content.
- Professional placement opportunity - gain practical experience and boost your CV with an additional professional placement. See the modules for more details. 2
Tuition fee
Apply by
Start date
Nov 2026
Jan 2027
Mar 2027
May 2027
Jul 2027
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
5 days after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview
for overall satisfaction in Engineering and Technology
Key Program Highlights
- Comprehensive technical knowledge - get an in-depth understanding of a broad range of concepts, algorithms, models, applications, and issues in data science and computational intelligence.
- Advanced AI applications - engage deeply with complex challenges in natural language processing, reinforcement learning, computer vision, big data management and statistical modelling.
- Ethics and responsibility - learn about critical legal, ethical, social and professional aspects, including responsible AI use, bias mitigation, data protection, transparency and sustainability.
- Research-informed teaching - study a course that has been designed in collaboration with Coventry University’s Centre for Computational Science and Mathematical Modelling. Our current research staff are involved in teaching some modules, supervising student projects and using current research to inform curriculum content.
- Professional placement opportunity - gain practical experience and boost your CV with an additional professional placement. See the modules for more details. 2
Requirements
The requirements may vary based on your selected study options.
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Tuition fee
Apply by
Start date
Nov 2026
Jan 2027
Mar 2027
May 2027
Jul 2027
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
5 days after your application is submitted
Backlogs accepted
This course accepts backlogs