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With our MSc in Data Analytics you will learn fundamental theory and practice mathematical and statistical modelling. With special reference to data analysis and visualisation.
With recent developments in digital technology, society has entered the era of 'big data'. The UK Government recognises big data as one of the eight great technologies. It has priorities for funding and research and will have a pivotal role in rebuilding and strengthening the economy.
The explosion and wealth of available data in a wide range of application domains gives rise to new challenges and opportunities in all areas. One major challenge is how to take advantage of the unprecedented scale of data. And how to gain further insights and knowledge to improve the quality of offered products and services.
We designed the MSc in Data Analytics for those currently in employment. And to run alongside the MSc in Data Analytics for Government. It is available to all students, and is not exclusive to any particular employment sector.
How to apply
Questions about fees?
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Questions about fees?
Fees quoted are for the first year only. If you are studying a course that lasts longer than one year your fees will increase each year.
Financial support and scholarships
Learning and assessment
The MSc in Data Analytics has a modular course-unit design. This provides you with flexibility and choice.
To qualify for a master’s degree, you must pass modules amounting to 180 credits. This comprises:
- twelve compulsory taught modules (10 credits each)
- dissertation (60 credits).
The School of Engineering, Computing and Mathematics is home to world-leading and award-winning research.
Our focus is on user-inspired original research with real-world applications. We have a wide range of activities from model-driven system design and empirical software engineering through to web technologies, cloud computing and big data, digital forensics and computer vision.
Staff and students collaborate on projects supported by the EPSRC, the EU, the DTI, and several major UK companies.
Computing achieved an excellent assessment of its UoA (Unit of Assessment) 11 return for REF 2014 (Research Excellence Framework).
Students on this course can be involved with research in the following research groups:
After you graduate
This programme allows graduates to undertake a wide range of roles in data science. Common careers in this area are as:
- data engineers
- business analysts
- data managers
- machine learning practitioners
- data scientists.
For more information, please visit our Changes to programmes page.