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Mathematics

Entry requirements


Access to HE Diploma

M:15

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, and Science at grade C or 4.

UCAS Tariff

112-120

This must include at least 64 points from two A levels or equivalent BTEC National qualifications, including at least 32 points from A level mathematics. For example: BBB-BBC at A Level with grade C in mathematics, DMM in BTEC Extended Diploma, Merit overall from a T level qualification, or a combination of qualifications which must include a C in A level mathematics (may include AS Levels, EPQ and general studies).

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3years

Full-time | 2024

Other options

4 years | Sandwich | 2024

Subject

Mathematics

**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.

If you don't meet the entry requirements for this course, or you’d like extra preparation before starting degree-level study, we recommend you join the foundation course.

**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.

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.

**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.

In your final year you’ll apply your knowledge to specific topics. You can also choose a project or dissertation topic set by a real company. Our support team can help you to arrange this, and you’ll liaise with both your supervisor and contacts from the company to complete your project.

**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.

*Work Placements *

You’ll have the opportunity to arrange a year-long work placement in between your second and third years. This allows you to graduate with an Applied Professional Diploma to add to your CV.

Previous students have secured placements at businesses such as HSBC, WSP, Volkswagen, Covance, Paraxel, Disney, the UK government and the Civil Service.

Modules

Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.

**Important notice:** The structure for this course is currently being reviewed and enhanced to provide the best possible learning experience for our students. Module structure, content, delivery and assessment are all likely to change, but we expect the focus of the course and the learning outcomes to remain as described above. Once the changes have been confirmed, 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

**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 | Exam

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£16,655
per year
International
£16,655
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

Extra funding

Scholarships, discounts and bursaries may be available to students who study this course

The Uni


Course location:

Sheffield Hallam University

Department:

College of Business Technology and Engineering

Read full university profile

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.

80%
Mathematics

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

84%
Staff make the subject interesting
92%
Staff are good at explaining things
84%
Ideas and concepts are explored in-depth
72%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

83%
Library resources
83%
IT resources
80%
Course specific equipment and facilities
44%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

97%
UK students
3%
International students
63%
Male students
37%
Female students
61%
2:1 or above
22%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
D
B

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.

£20,700
low
Average annual salary
96%
med
Employed or in further education
58%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

18%
Business, research and administrative professionals
17%
Information technology and telecommunications professionals
16%
Teaching and educational professionals

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

£24k

£28k

£28k

£33k

£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 information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

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?

Have a question about this info? Learn more here