Sheffield Hallam University
UCAS Code: BB06 | Master of Mathematics - MMath
Entry requirements
An access to HE Diploma with at least 45 credits at level 3 and 15 credits at level 2. At least 18 level 3 credits must be at merit grade or above, from a QAA-recognised Access to HE course, or an equivalent Access to HE certificate.
GCSE/National 4/National 5
English Language at grade C or 4, Maths at grade C or 4. GCSE equivalents: Level 2 Literacy or Functional Skills Level 2 English; Level 2 Numeracy or Functional Skills Level 2 Maths
UCAS Tariff
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.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**Please check the Sheffield Hallam University website for the latest information**
**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 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:
- 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 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.
Modules
Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page. .
You will be able to complete a placement year as part of this course. See the modules table below for further information.
Year 1
Compulsory modules
Applied Data Analysis
Mathematical And Statistical Methods
Modelling And Differential Equations
Proof And Reasoning
Year 2
Compulsory modules
Advanced Calculus, Linear Algebra And Operational Research
Applied Mathematical And Statistical Modelling
Mathematical Analysis
Statistical Theory And Modelling
Year 3
Optional modules
Placement Year
Year 4
Compulsory modules
Advanced Topics In Mathematics And Its Applications
Further Topics In Mathematics And Its Applications
Project: Implementation
Project: Management And Scoping
Year 5
Compulsory modules
Industrial Group Project
Project And Dissertation
Research Frontiers In Mathematics, Physics And Statistics
Research Methodology And Practice
Assessment methods
Coursework and exams.
Tuition fees
Select where you currently live to see what you'll pay:
Extra funding
Scholarships, discounts and bursaries may be available to students who study this course.
The Uni
Sheffield Hallam University
College of Business Technology and Engineering
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Mathematics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Mathematics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£24k
£28k
£33k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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