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Data Analytics for Government
Combine computing, statistical and mathematical skills and deal with the challenges of our modern data-driven society with our MSc Data Analytics for Government.
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.
We have structured this course in conjunction with the Office for National Statistics. Specifically for employees of all public sector bodies in the UK. You will develop skills in state-of-the-art methods and techniques related to data analytics. And you will cover cutting-edge areas in data analytics, including:
- data science and big data models
- advanced machine learning (with AI)
- statistical programming
- distributed systems (cloud, Hadoop, Spark)
- data visualisation
- statistics in government
- time series.
How to apply
Questions about fees?
Contact Student Finance on:
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
The Department of Computing and Communication Technologies awards a limited number of scholarships for its taught postgraduate programmes, which are awarded on a competitive basis to UK, EU and international postgraduates each year. Further information can be found at /ecm/courses/scholarships/
Learning and assessment
The MSc in Data Analytics for Government 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)
- your dissertation (60 credits).
You can study full time and complete the course in a year. Alternatively you can study part time and complete the course in 2, 3, 4 or 5 years.
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.