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. As a student on this MSc Data Science course, you’ll be part of our vibrant research community and have excellent 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, agritech, and telecommunications. Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of modern businesses. 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 Artificial Intelligence research group that has made significant contributions to the field over the past 10 years, so you’ll be working directly with pioneering experts. 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, Aviva, and National Air Traffic Services. 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. The 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. 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
Bachelors degree - 2.2 or equivalent in Computing, Mathematics or related subject that indicates an ability in Maths, Statistics, Data Handling or Database Manipulation. Applicants should be able to demonstrate some programming experience either in qualifications or work experience.
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6.5 | with 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 |
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
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.
Provider information
University of East Anglia UEA
Norwich Research Park
Norwich
NR4 7TJ