Apply maths to real-world phenomena and sustainability challenges, developing advanced techniques while using mathematical modelling and technology for simulations and data analysis.
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.

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.

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.

Graduates from the Sheffield Hallam maths degree go on to a wide variety of careers including data analysts, finance, computing, programming, and teaching. Our alumni work for a broad range of companies including:

• HSBC, Lloyds Bank (banking & finance)
• Experian (credit risk analysis)
• WSP, BAE Systems (engineering / engineering consultancy) 
• Covance, Parexel (clinical trials)
• NHS England, Disney (data analysis)
• The Civil Service (operational research, statistical analysis)

Several of our students choose to go on to postgraduate study. In recent years, our students have gone on to study further degrees in mathematics, cybersecurity, neuroscience, quantity surveying and teaching.

 

UCAS points

• 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:

• 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

You can find information on making sense of UCAS tariff points here and use the UCAS tariff calculator to work out your points.

GCSE

• English Language at grade C or 4
• Maths at grade C or 4
• Science at grade C or 4

• Foundation - successful completion of our Extended Degree Programme Engineering and Mathematics or equivalent

• 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.

If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. If your English language skill is currently below IELTS 6.0 we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English score.

We welcome applications from people of any age. We may be flexible in our normal offer if you can show a commitment to succeed and have the relevant skills and experience. This must show that you will benefit from and finish the course successfully.

Please note the University will only admit students who are aged 18 or over at the point of enrolment.

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
Module	Credits	Assessment
Applied Data Analysis	20	Coursework
Mathematical And Statistical Methods	40	Coursework Exam
Modelling And Differential Equations	40	Coursework
Proof And Reasoning	20	Coursework

 

 

Year 2 Compulsory modules
Module	Credits	Assessment
Advanced Calculus, Linear Algebra And Operational Research	40	Coursework Exam
Applied Mathematical And Statistical Modelling	40	Coursework
Mathematical Analysis	20	Coursework
Statistical Theory And Modelling	20	Coursework

 

Year 3 Optional modules
Module	Credits	Assessment
Placement Year

 

Final Year Compulsory modules
Module	Credits	Assessment
Advanced Topics In Mathematics And Its Applications	40	Coursework
Further Topics In Mathematics And Its Applications	40	Coursework Exam
Project: Implementation	20	Coursework
Project: Management And Scoping	20	Coursework