Universities › Queen Mary University of London

MSc Data Science

Queen Mary University of London — London, United Kingdom

MSc Data Science is a postgraduate Data Science & AI course at Queen Mary University of London, London, United Kingdom. It takes 2 years, costs £36,950 per year and starts in September.

Postgraduate · 2 years · Full-time · Data Science & AI · £36,950 per year

Intakes: September

Unlock the power of data with the Data Science MSc at Queen Mary University of London. Gain expertise in big data, machine learning, and analytics while mastering the tools and techniques to solve real-world challenges and advance your career in data-driven industries.

Modules

  • Statistical data modelling, data visualisation and prediction.
  • Machine learning techniques for cluster detection, and automated classification.
  • Techniques for processing massive amounts of data.
  • Five compulsory modules
  • Three elective modules
  • Research project
  • Applied Statistics
  • Data Mining
  • Principles of Machine Learning
  • Natural Language Processing
  • Big Data Processing
  • Neural Networks and Deep Learning
  • Digital Media and Social Networks
  • Risk and Decision Making for Data Science and AI
  • Project
  • Cloud Computing
  • Data Semantics
  • Distributed Systems
  • 67% Modules
  • 33% Research project
  • Modules are assessed through a combination of coursework and written examinations.
  • Your research project will be evaluated by thesis, presentation and viva examination.

Frequently asked questions

How long is MSc Data Science at Queen Mary University of London?

MSc Data Science takes 2 years (Full-time).

How much does MSc Data Science at Queen Mary University of London cost?

The listed tuition fee is £36,950 per year. Fees can change, so confirm the current amount before you apply.

When does MSc Data Science start?

Intakes: September.

What level is MSc Data Science?

It is a postgraduate course in Data Science & AI.

What will I study on MSc Data Science?

Modules include Statistical data modelling, data visualisation and prediction., Machine learning techniques for cluster detection, and automated classification., Techniques for processing massive amounts of data., Five compulsory modules, Three elective modules and Research project.