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Entry requirements

Access to HE Diploma


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

UCAS Tariff


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: BBC at A Level with grade C in mathematics. 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


Full-time | 2022

Other options

4.0 years | Sandwich | 2022



**Course summary**

Here at Sheffield Hallam we provide the knowledge, digital and communication skills necessary for a mathematical career. The focus of the course is the application of mathematical and statistical understanding to a range of real world problems - such problems are rarely presented in a neat mathematical form, and on our course you will learn the techniques needed to describe and solve such problems.

You could be modelling the spread of infectious diseases, simulating the flow of traffic or people, predicting the future behaviour of stock markets, protecting your digital data using cryptography, or working directly with companies to analyse their data.

**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 learning is often innovative, research-led, and responsive to student feedback.

Our custom-designed learning space enables us to work in small groups, individually, or as a whole class. Many of our sessions are a highly interactive workshop style, mixing lecturer led activity and student exercises.

We use technology to carry out routine calculations, whilst developing your understanding of the underlying techniques.
You will develop skills and become proficient in using industry leading software packages such as Excel, SAS and Python.
In addition to exams, a variety of coursework designed to develop employability skills is incorporated into the course.

**Applied learning**
**Work placements**

You will have the opportunity to undertake a placement in your third year. There is a dedicated team that will support you in applying for positions. This is an excellent opportunity to gain valuable experience in the workplace and to develop the mathematical, statistical and graduate skills that you have acquired in your studies. In previous years, our students have done year long placements with companies such as Parexel, Covance, HSBC, the Civil Service, the RAF, and Cummins.

**Live projects
Mathematical sciences including areas such as mathematical modelling, machine learning, and AI is one of the fastest growing industries, with many companies looking to employ graduates with an ability to understand and communicate mathematical and statistical information. Therefore, real-life case studies are embedded into our teaching, alongside essential skills such as software programming, reporting and presenting results to a non-technical audience.

You will also be given the opportunity to take part in real-life projects, such as working on a problem with a local business or charity in the first year of study and a project/dissertation in your final year of study allowing you to apply knowledge gained earlier in the course. A broad range of topics are on offer from looking at maths anxiety in schools; modelling the spread of disease; problems in cryptography and space. You can also choose a project/dissertation topic set by a real company. If you take this option, our support team will help you to arrange this, and you will liaise with both your supervisor and contacts from the company to complete your project.

**Networking opportunities**

We have a strong and supportive learning community, based on excellent staff-student relations. You’ll study in a shared maths learning space, designed to combine student workspace with staff office space. As well as having easy access to your lecturers, you’ll work closely with other students in a supportive environment.

The space is also used for social-professional activities, such as the weekly Maths Arcade project, where you can develop your strategic thinking. You’ll work on projects with your coursemates from your first week, helping you settle in and form friendship groups that last throughout your course and beyond.


Year 1
Compulsory modules
Mathematical Methods 20
Mathematical Modelling 1 20
Mathematical Technology 20
Number And Structure 20
Probability And Statistics 20

Elective modules
Explorations In Mathematics 20
Foreign Language 20

Year 2
Compulsory modules
Dynamical Systems & Fourier Analysis 20
Linear & Discrete Mathematics 20
Mathematical Analysis 20
Mathematical Modelling 2 20
Statistical Theory And Methods 20

Elective modules
Business Mathematics 20
Foreign Language 20
Mathematics Education 20
Programming With Mathematical Applications 20
Pure Mathematics In Practice 20

Year 3
Optional modules
Placement Year

Final year
Compulsory modules
Advanced Modelling Case Studies 20
Project 40

Elective modules
Abstract Algebra 20
Data Mining With Business Applications 20
Fluid Flow 20
Foreign Language 20
Game Theory And Recreational Mathematics 20
Mathematical Biology 20
Mathematical Finance 20
Modelling With Partial Differential Equations 20
Statistical Inference 20
Statistics For Business, Industry And Finance 20
Tensors And Relativity 20

Assessment methods


Tuition fees

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Northern Ireland
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Republic of Ireland
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Extra funding

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

The Uni

Course location:

Sheffield Hallam University


College of Business Technology and Engineering

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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.


Teaching and learning

Staff make the subject interesting
Staff are good at explaining things
Ideas and concepts are explored in-depth
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

Library resources
IT resources
Course specific equipment and facilities
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?

UK students
International students
Male students
Female students
2:1 or above
First year drop out rate

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.


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.

Average annual salary
Employed or in further education
Employed in a role where degree was essential or beneficial

Top job areas of graduates

Business, research and administrative professionals
Information technology and telecommunications professionals
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.

Mathematical sciences

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.







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 what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

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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?

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