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
Assessment method
Please refer to our website
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.
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
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS