**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.

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. 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 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

Coursework Exams Practical

Mathematics and its Applications, Institute of

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G100

Institution code: S21

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

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

Please click the following link to find out more about qualification requirements for this course

https://www.shu.ac.uk/courses/mathematics/bsc-honours-mathematics/

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails
IELTS (Academic)	6.0	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.

Student satisfaction : 79%

Employment after 15 months (Most common jobs): 70%

Go onto work and study: 90%

EU	14415.0	Year 1
International	14415.0	Year 1

Our tuition fees for UK students starting full-time undergraduate study in 2022/23 are regulated by the UK government and are yet to be confirmed. For an indication, our tuition fee for UK students starting full-time undergraduate study in 2021/22 is £9,250 per year. During your placement year you will pay a reduced fee of £1,200. † If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations. Our tuition fee for International/EU students starting full-time study in 2022/23 is £14,415 per year. During your placement year you will pay a reduced fee of £1,200.

City Campus
Howard Street
Address3 are not listed for this Course.
Sheffield
S1 1WB