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Queen Mary University of London: Data Science

Institution Queen Mary University of London View institution profile
Department Electronic Engineering and Computer Science
Web https://www.qmul.ac.uk/
Email eecs-msc-enquiries@qmul.ac.uk
Telephone +44 (0)20 7882 7333
Study type Taught

Summary

This programme is designed to address the growing demand for highly skilled data scientists and engineers capable of combining advanced computer science techniques with modern statistical methods to extract insights and create data-driven services. We offer world-leading expertise and industry partnerships to equip students with essential skills in statistical data modelling, visualisation, machine learning, and domain-specific applications like computer vision and natural language processing.

  • Create new business services that are based on insights learnt from data.

  • Learn to create automated prediction, recommendation and classification systems.

  • Gain advanced mathematical and technical skills including machine learning and deep learning.

  • Benefit from our world-leading research as well as our strategic partnerships with leading technological companies.

What you'll study

You will cover fundamental statistical and analytical concepts (such as machine learning) and technological tools (such as cloud platforms, Spark) for large-scale data analysis. Through your taught modules, you will examine:

Statistical data modelling, data visualisation and prediction. Machine learning techniques for cluster detection, and automated classification. Techniques for processing massive amounts of data. Domain-specific techniques for applying data science, including: computer vision, social media analysis, intelligent sensing and internet of things. Case study-based projects that show the practical application of key skills in real industrial and research scenarios. You will also undertake a large project where you will demonstrate the application of data science skills in a complex scenario.

This degree is accredited by BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. This degree is also accredited by BCS on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.

MSc

Queen Mary University of London is a place where every difference is celebrated –where your unique perspective is not just welcomed, but essential. Join a community where your individuality fuels progress, and your distinct experiences shape a richer, more dynamic learning environment.

Ranked 110th in the world (QS 2026) and 24th in the world for research (Times Higher Education 2026), join students from over 170 nationalities, and study at the only campus-based Russell Group University in London.

Queen Mary is dedicated to supporting international students from all over the world and offer financial support and …

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