Skip navigation
Data Analytics at Queen Mary University of London - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

In today's data-driven economy, organisations need data experts to extract clear insights and inform decision making. This masters will teach you the core mathematical principles of data analysis, and how to apply these to real-world scenarios. You will also develop the programming, machine learning and visualisation skills employers need. Our unique blend of key theoretical knowledge and in-demand practical skills will help you future-proof your career in Data Science.

  • 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.

Modules

Please refer to our website for modules related to this programme.

Assessment method

Please refer to our website for information on assessment.


How to apply

International applicants

Please see: www.qmul.ac.uk/international-students

Entry requirements

A good 2:2 or above at undergraduate level in a subject with substantial mathematical content. Relevant subjects include Mathematics, Statistics, Physics, Engineering, Economics and Computer Science. For international qualifications, please refer to our website for specific entry requirements.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

To learn more about funding and scholarships, please visit our funding a masters webpage at: www.qmul.ac.uk/postgraduate/taught/funding_masters/

Data Analytics at Queen Mary University of London - UCAS