Mathematics and Statistics

University of Sheffield
Undergraduate (Integrated Masters) 4+ Year Degree MMath (Hons) Full-time 4 Years Mathematics and statistics

A-Level Entry

AAA

Avg. Graduate Salary

£31,000

About this course

Explore topics across mathematics and statistics with our accredited MMath Mathematics and Statistics course. Gain the fundamental knowledge that every statistician needs for a successful career and complete a major research project.

This four-year accredited MMath Mathematics and Statistics course will give you the advanced problem-solving skills, statistical knowledge and research experience you’ll need for a successful career.

Learn how to find patterns in huge data sets, draw conclusions and think of creative solutions on our Royal Statistical Society accredited course.

In your first year you’ll focus on fundamental concepts. You’ll cover essential topics such as calculus, algebra, modelling and data science. You’ll hone your problem solving abilities, develop programming skills using Python and R, and learn to present your work as a professional mathematician using LaTeX.

In your second year you’ll learn how to apply your statistics knowledge to increasingly complex problems, through statistical modelling and computer simulations.

In addition to core modules, you’ll get the chance to study a variety of optional modules. This means you can continue to study topics in pure maths, such as group theory and algebra.

In your third year you’ll continue to develop your statistical knowledge. You’ll learn how to design experiments and collect data, how statistics are used in clinical trials of new drugs and how data can predict the likely outcome of an event. You can also choose from a range of more in-depth optional modules.

Whether you want a job in finance, technology or big data, you’ll be able to tailor your degree to your goals, equipping yourself with the skills and knowledge you need to succeed.

In your fourth year, you’ll gain valuable independent research experience by working on a research project. You’ll spend a large part of your final year investigating a real-world problem of your choice, alongside an active researcher who is an expert in your chosen area.

You’ll develop valuable project planning, problem solving and software skills. You’ll also learn how to present mathematics, statistics and other technical information, and gain experience communicating your findings verbally and in writing.

Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.

Why study this course?

  • Royal Statistical Society (RSS) accredited course: Accredited by the RSS for the purpose of eligibility for Graduate Statistician status.

  • Top 20 in the UK for mathematics: The Times and Sunday Times Good University Guide 2025.

  • Build connections and a career: Opt to spend a full year on a work placement. Our students have secured placements with a range of organisations, including Intel, the Met Office, HSBC, Deloitte, Morgan Stanley, and the Civil Service.

  • Summer research placements: Gain research experience through the Sheffield Undergraduate Research Experience or Undergraduate Research Internship schemes.
  • Entry Requirements

    A-Level Grades AAA
    Scottish Advanced Higher A
    BTEC D*DD

    Career Prospects

    Graduates from this course typically go into the following occupations:

    2134 Programmers and software development professionals
    2133 IT business analysts, architects and systems designers
    2431 Management consultants and business analysts
    3531 Brokers
    2433 Actuaries, economists and statisticians
    2434 Business and related research professionals

    Course Details

    Qualification
    Master of Mathematics - MMath (Hons)
    Study Mode
    Full-time
    Duration
    4 Years
    Start Date
    2025
    Academic Year
    2025
    Campus / Location
    Sheffield
    Scheme
    Undergraduate (Integrated Masters)
    Subjects
    Mathematics and statistics
    Avg. Graduate Salary
    £31,000