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Course options
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Qualification
Master of Mathematics - MMath
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Location
Main Site
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Study mode
Full time
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Start date
22-SEP-25
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Duration
4 Years
Course summary
- Gain expertise in advanced mathematical topics. - Master skills in mathematical modelling and data analysis. - Tackle real-world challenges in sustainability and beyond. - Engage with interdisciplinary collaborations from within and beyond the university. - Be mentored and supported by award-winning teaching staff.
How you learnAll 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: - collaborative workshops - lectures - small-group tutorials/problem classes - peer-assisted learning - research and investigations - project work - independent learning, via notes, printed literature, and through the university virtual learning environment.
Key ThemesMaths 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 learningWork PlacementsApplication deadline
29 January
Tuition fees
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£ 17,155per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
Entry requirements
Choose a qualification
QUALIFICATION TYPE
UCAS Points : 128 - 136
This must include at least 40 UCAS points from Mathematics A level or equivalent. For example:ABB-AAB at A Level including Mathematics.DDD in BTEC Extended Diploma in a relevant subject.Distinction overall from a T level qualification.A combination of qualifications which must include Mathematics and may include AS levels and EPQ.
VIEW MOREUniversity information

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University League Table
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Campus address
Sheffield Hallam University, City Campus, Howard Street, Sheffield, Sheffield, S1 1WB, United Kingdom
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Subject ranking
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Entry standards
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Graduate prospects
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Student satisfaction
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