MSc Data Science
    Duration1 year(s)
    Tuition Fee
    GBP 34,150 / Year
    Next IntakeSeptember 1, 2026

    MSc Data Science

    About

    Course 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 of this Data Science course, 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, agritech, and telecommunications.

    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 Artificial Intelligence research group, which has made significant contributions to the field in the last 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.

    About

    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, agritech, 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.

    Disciplines

    Computing Sciences

    Requirements

    Entry Requirements

    This course is open to

    UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.

    Typical International Entry Requirements

    Degree classification

    UK Bachelors degree - 2.2 or equivalent

    Degree Subject

    Computing, Mathematics or a related subject. Your application should also demonstrate some programming experience either in other qualifications or work experience.

    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): 

    • IELTS:  6.0 overall with minimum 6.0 in Writing and Speaking and 5.5 in Listening and Reading.

    We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.

    Test dates should be within 2 years of the course start date.

     If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.

    Admissions Policy

    Our Admissions Policy applies to the admissions of all postgraduate applicants.

    English Requirements

    • IELTSMin 6.0
    • TOEFLMin 79

    English Program Requirements

    Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading): 

    • IELTS:  6.0 overall with minimum 6.0 in Writing and Speaking and 5.5 in Listening and Reading.

    We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.

    Test dates should be within 2 years of the course start date.

     If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.

    Career

    Employability


    After the Course

    You’ll graduate ready for a career in data analysis or data science – an area of rapid growth at the moment.

    You can expect to earn a high salary – the median annual wage for data science in the UK was 60,000.

    Careers

    Examples of careers that you could enter include:

    • Data scientist
    • Data analyst
    • Data miner
    • Business intelligence analyst

    Discover more on our Careers webpages.

    Fee Information

    Tuition Fee
    34,150 / year

    MSc Data Science

    University of East Anglia

    University of East Anglia

    United Kingdom

    United Kingdom, Norwich