Sheffield Hallam University
UCAS Code: A032 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
Access to HE Diploma
Access - an Access to HE Diploma with at least 45 credits at level 3 and 15 credits at level 2. At least 15 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; Science 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 32 points from one A level or equivalent BTEC qualifications. For example: CDD at A Level. MMP in BTEC Extended Diploma. A combination of qualifications, which may include a maximum of one AS level, EPQ and general studies
You may also need to…
Attend an interview
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**
- Apply your existing maths skills while gaining new knowledge and techniques.
- Understand the vital ways we use maths in modern life and real-world contexts.
- Explore technological, scientific and digital developments with far-reaching impacts.
- Use the latest technology to enhance your mathematical understanding.
- Develop your skills through real-life projects and work placements.
At Sheffield Hallam we’re especially keen to use mathematical modelling to address sustainability challenges. Whether you’re modelling the spread of infectious diseases, managing the 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.
This foundation year course is for those who don't meet the entry requirements for our BSc Hon Mathematics course, or would like extra preparation before starting degree-level study.
**How you learn**
Our approach to teaching and learning puts students at the centre, supporting you to develop your understanding of mathematical concepts and your ability to apply them in various contexts. These contexts are informed by our links with industry, including live projects where you work in partnership with local companies and charities on issues they’re facing.
You learn through:
- Diverse lectures emphasising peer collaboration.
- Tutorials to practise and apply your knowledge ahead of assessments.
- Hands-on lab experience in computational modelling and simulation.
- Q&A and discussions for self-assessment and understanding.
- Support sessions for receiving feedback and preparing for assessments.
- Teamwork activities for collaboration in an innovative environment.
- Project-based learning to apply knowledge, creativity, design, critical analysis and professional skills to real-world projects.
We use a variety of assessment types designed to allow you to show your best mathematical work and to prepare you for a range of future careers. You’ll get feedback on your developing ideas through tutorial exercises and your skills and knowledge will be assessed via exams, presentations, reports and interviews.
**Course Topics**
You’ll learn all the core maths techniques you need – algebra, calculus and data analysis – with a strong focus on how to apply them to the real world. Key themes include mathematical modelling, how mathematics is used in society and how it can help tackle global sustainability challenges.
You’ll begin the course by deepening your mathematics knowledge and skills – from computer programming and rigour to core principles of proof and reasoning. You’ll then learn how to apply your learning, gaining practical experience by analysing and presenting data for businesses. You’ll encounter logistical problems and build mathematical models to solve them – in a project that’s often run by Sheffield United FC.
You’ll refine your modelling skills, develop your communication skills and improve your mathematical reasoning skills. By the end of the year you’ll have an excellent grounding in key mathematical thinking and understanding, ready to explore further ideas in your final year.
**Applied learning**
**Live Projects**
We embed real-life case studies and work experience into the course to support your development into a professional mathematician. You’ll explore case studies from areas such as mathematical modelling, machine learning, AI, data analysis and climate science.
Live projects form an essential part of our teaching. You’ll work on live data sets from local businesses, government, health trusts or charities – developing essential skills such as project management, teamwork and reporting, and presenting results to both technical and non-technical audiences.
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**
Engineering And Mathematics In Practice
Foundation Mathematics, Mechanics And Electronics 1
Foundation Mathematics, Mechanics And Electronics 2
Fundamentals Of Materials And Manufacturing
**Year 2**
**Compulsory modules**
Applied Data Analysis
Mathematical And Statistical Methods
Modelling And Differential Equations
Proof And Reasoning
**Year 3**
**Compulsory modules**
Advanced Calculus, Linear Algebra And Operational Research
Applied Mathematical And Statistical Modelling
Mathematical Analysis
Statistical Theory And Modelling
**Elective module**
Study Abroad - Computing And Digital Technologies
**Year 4**
**Optional modules**
Placement Year
**Final year**
**Compulsory modules**
Advanced Topics In Mathematics And Its Applications
Further Topics In Mathematics And Its Applications
Project: Implementation
Project: Management And Scoping
Assessment methods
Coursework | Practical | Exam
Tuition fees
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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 the overall teaching satisfaction score 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.
£21k
£29k
£31k
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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