Course options

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

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Overview This MSc in Data Science is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining and statistics with the chance to customise your degree through modules in artificial intelligence, visualisation, programming database manipulation and other specialised subjects. Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of a modern business. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills. We have a large Data Science and Statistics research group, which has made significant contributions to the field in the last 10 years, so you’ll be working directly with pioneering experts. About This Course Organisations today have a vast amount of raw data generated from their computerised operational systems. So how will they turn this into high quality information for strategic decision-making? They need a new generation of data analysts who understand effective and efficient data analysis methods and the Knowledge Discovery and Data Mining (KDD) process. This course – one of the most established in this area with over 18 years of history – offers an excellent platform to help you forge a successful career in data analysis. As a student, you’ll be part of our vibrant research community and will have very good opportunities to progress to a PhD. You’ll be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction; time series classification as well as many applications in the financial services industry, medicine and telecommunications. The research group has collaborated in research or consultancy projects with a wide range of organisations, including: the Biotechnology and Biological Sciences Research Council (BBSRC), the Engineering and Physical Sciences Research Council (EPSRC), the Institute and Faculty of Actuaries and The Royal Society, Alston Transport, Derbyshire Police, Lanner Group, Master Foods, MET Office, National Air Traffic Services, Aviva, Process Evolution Ltd, Simultec AG Zurich, Virgin Money and the Norwich City Football Club. You’ll graduate with a wealth of knowledge, prestigious connections and research experience – putting you one step ahead of other graduates in your career or further studies. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk

Modules

Please see our website www.uea.ac.uk for further information

Assessment method

Please see our website www.uea.ac.uk for further information

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • BCS - The Chartered Institute for IT

Entry requirements

DEGREE CLASSIFICATION: Honours degree - 2.1 DEGREE SUBJECT: Computing, Mathematics or related subject that indicates an ability in Maths, Statistics, Data Handling or Database Manipulation. ADDITIONAL REQUIREMENTS: Applicants should be able to demonstrate some programming experience either in qualifications or work experience


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5with 6.0 in all components

English Foreign Language: Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):   Test dates should be within 2 years of the course start date. We also accept a number of other English language tests. Review our English Language Equivalencies for a list of qualifications that we may accept to meet this requirement.

https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies

https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies


Fees and funding

Tuition fees

Channel Islands £11000 Whole course
England £11000 Whole course
Northern Ireland £11000 Whole course
Scotland £11000 Whole course
Wales £11000 Whole course
International £22900 Whole course

Additional fee information

Tuition fees are reviewed annually and subject to increase. Some fees are regulated by the UK government and will be changed in line with advice from them. For further information about additional costs for your course and information on fee status please see our website.

Sponsorship information

UEA offers a limited number of scholarships for International students of up to 50 per cent of the value of tuition fees; these awards are based on academic merit.

Data Science at University of East Anglia UEA - UCAS