About Mathematics and Statistics, MMath - at University of Sheffield

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 enhance your knowledge of pure and applied mathematics through optional modules, covering topics such as algebraic structures, special relativity and differential equations.

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, such as mathematical biology, operations research and game theory, and financial mathematics and time series.

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.

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

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

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Entry requirements for this course

Contact University of Sheffield to find course entry requirements.

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