Mathematics and Data Science with a Year in Industry

University of Exeter

Undergraduate BSc (Hons) Full-time 4 Years Computer scienceMathematics and statistics

A-Level Entry

AAB - AAA

About this course

- Learn using real examples of situations to be solved logically through our strong links across industries

  • Accredited by the Institute of Mathematics as meeting the educational requirements of the Chartered Mathematician designation

  • This course has been developed in collaboration with industry, using current methods, platforms, software and data, to ensure you are fully prepared for the workplace upon graduation.

  • You will develop fundamental mathematical and computational techniques via a mixture of individual and group learning.

  • This degree will support you in becoming an outstanding, dynamic problem solver with an excellent technical skillset, preparing you for a fantastic array of professions that require the technical expertise of a data scientist.

  • Taught by active researchers, this course covers the core areas of mathematics and data science while introducing you to applications and social contexts

  • Research projects in each academic year will allow you to develop independent research and project management skills in an area of interest, using real world datasets and guided by an academic supervisor

  • Spend a ‘Year in Industry’ at companies such as Lloyds Banking Group, Coca-Cola, Met Office and PwC
  • Entry Requirements

    A-Level Grades AAB - AAA
    Scottish Higher AAABB - AAAAB
    Scottish Advanced Higher ABB - AAB
    BTEC DDD

    Career Prospects

    Graduates from this course typically go into the following occupations. Click through for salaries, employment rates and other UK degrees that lead there:

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    Course Details

    Qualification
    Bachelor of Science (with Honours) - BSc (Hons)
    Study Mode
    Full-time
    Duration
    4 Years
    Start Date
    2025
    Academic Year
    2025
    Campus / Location
    Devon
    Scheme
    Undergraduate
    Subjects
    Computer science, Mathematics and statistics