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    Behavioural and Data Science (MSc)
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    University of Warwick

    Behavioural and Data Science (MSc)

    University of Warwick

    University of Warwick

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    United Kingdom, Coventry

    University RankQS Ranking
    69

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    P-C803

    Campuses

    University of Warwick

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines28-Sep-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 31,670  / year
    Next Intake 28-Sep-2026

    Behavioural and Data Science (MSc)

    About

    Course overview

    This course offers training in the foundations of psychology, decision-making, behavioural economics and behaviour change. It will also develop your understanding of state-of-the-art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualisation.

    You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, Matlab, or others).

    Skills from this degree

    Graduates will be able to:

    • Use data to understand how and why people make the choices they do, and understanding the consequences of their choices in relation to public policy (e.g. encouraging people to save for pensions or change to low-carbon behaviours), industry (e.g. understanding how to place a new product in the market), and individual behaviour (e.g. understanding why people drink and eat too much)
    • Access and analyse large-scale datasets
    • Utilise state-of-the-art techniques in data analysis and visualisation
    • Design and conduct studies using data analysis to understand behaviour

    Requirements

    Entry Requirements

    Warwick welcomes applications with good degrees from respected universities in Jordan.

    From Jordan, for Postgraduate Taught courses, we would typically require a 4-year bachelors degree from a recognised institution for entry, with the following equivalencies:

    UK Classification Percentage GPA
    1:1 84% 3.65 (out of 4.0)
    2:1 73% 3.0 (out of 4.0)
    2:2 62% 2.5 (out of 4.0)

    If you need any advice or guidance on the qualifications above, our Middle East and North Africa Team are here to help. Contact them at mena@warwick.ac.uk.

    See our Jordan Country Information page for guidance, contacts and upcoming events in your country.

    English Program Requirements

  • Band B
  • IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.
  • International qualifications We welcome applications from students with other internationally recognised qualifications.
    For more information, please visit the international entry requirements pageLink opens in a new window. Additional requirements There are no additional entry requirements for this course.

    Career

    Your career

    Graduates from our MSc have followed career paths in postgraduate research and industry. Some have gone on to work on PhDs at the Alan Turing Institute and various Universities both in and outside the UK. Others have taken up positions as data scientists in industry, government, and NGOs.

    Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year.

    Fee Information

    Tuition Fee

    GBP 31,670 

    Application Fee

    GBP  
    University of Warwick

    Behavioural and Data Science (MSc)

    University of Warwick

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    United Kingdom,

    Coventry

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