Mathematics

How you learn All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.

You will learn all the core maths techniques you need - algebra, calculus and data analysis - with a strong focus on their application to the real world. Key themes of our degree are mathematical modelling, how mathematics is used in society and how it can help tackle global sustainability challenges.

Teaching and learning activities are designed to support you to develop your understanding of mathematics concepts and ability to apply them in various contexts. Application contexts are informed by our collaborative partnerships with industry, including live projects where you work with local companies, charities and government on issues they are facing. Our teaching team is recognised internationally for its research into how to teach mathematics at university, and our teaching is informed by this. The teaching team also includes experts in mathematical research including in mathematical modelling, statistics and pure mathematics.

In keeping with the demands of the subject area, the diverse range of student learning styles and circumstances, and the range and diversity of learning outcomes across the modules, a mixture of methods are used:

Key Themes Maths has a vital role in modern life, underpinning many technological, scientific and digital developments which can improve health, drive economic growth, transform societies and enhance our environment. At Sheffield Hallam University we’re passionate about using mathematical modelling to address sustainability challenges. You could be modelling the spread of infectious diseases, managing sustainable use of renewable resources, designing for energy efficiency or simulating sustainable transport – maths is at the heart of some of the biggest global issues we face.

To support your development into a professional mathematician, real-life case studies and work experience are embedded into the course. Case studies come from areas such as mathematical modelling, machine learning and AI, data analysis and climate science. Some of these are presented by academic staff whose expertise lie in that field, others are presented by guest lecturers from partners in industry in the local region, giving you direct links to future employers and the opportunity for professional networking.

Applied learning Work Placements You’ll have the opportunity to arrange a year-long work placement in between your second and third years. This gives you valuable work experience to prepare you for your future career and allows you to graduate with an Applied Professional Diploma to add to your CV.

Your course is designed to give you the knowledge, confidence and readiness to secure and succeed in your placement. To compliment this, you have access to various support activities, resources, employer events and opportunities from your Careers & Employability Team to ensure you make the most of your work experience opportunities during your degree.