Data Analytics

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name Queen Mary University of London
  • Attendance Type On Campus (Full Time)
  • Position Duration1 year
  • Application deadlineSep 2026

Position Details (Master's)

The Data Analytics MSc program offered at Queen Mary University of London will teach you the core mathematical principles of data analysis and how to apply these to real-world scenarios. 

In our data-driven economy, companies are seeking highly numerate data experts who can use statistical techniques and the latest technologies to extract clear insights to inform every aspect of their strategy and operations.

  • Build a solid foundation in mathematics and statistics, setting you up for long-term career success.
  • Develop sought-after programming skills, working with Python, R and C++.
  • Apply what you learn to real-world datasets from a wide variety of sectors.
  • Learn from experienced educators, including industry practitioners and Fellows of the Alan Turing Institute for Data Science and AI.
  • Choose your own specialism to develop the professional skills you need for the job you want.

What you'll study

In the first semester, you will complete the compulsory modules that provide a foundation in data analytics, machine learning, and the statistics of data analysis. You will build upon this knowledge working with industry-standard tools and software.

In the second semester, you will decide on your specialism. This part of the Data Analytics MSc program offered at Queen Mary University of London has been designed to prepare you for specific career paths, so what you study will depend on what you wish to do in the future.

Our specialisms, also known as streams, can be found below. We've highlighted the skills you will develop and the potential career paths for each stream.

Courses included:
  • Financial Data Analytics
  • Storing, Manipulating and Visualising Data
  • Machine Learning with Python
  • Probability and Statistics for Data Analytics
  • Project Dissertation

Research Areas & Fields of Study involved in the position

Position Start Date

Sep 2026