Mathematics
BSc (Hons)

Industrial Placement
Work placement opportunity
International Students can apply

3 good reasons to study Mathematics at Salford

1.

A focus on applied mathematics relevant to your future career in business and industry

2.

Regular guest lectures from industry will form the basis of real-world case studies for you to solve

3.

100% of students on our undergraduate Mathematics course believe their course has improved their career prospects (NSS, 2015)

Course Summary

As a Salford mathematics graduate you will have valuable transferable skills that are highly regarded by employers from a range of industries.

You will be numerate, have high level problem solving skills and be able to apply maths to a huge range of situations in industries such as engineering, computing, business, finance and accounting.

We encourage participation in a placement year in industry where you can develop your practical and theoretical knowledge. Successful completion of an industrial placement year, which you arrange with our support, will add 'with Professional Experience' to your degree title.

Our maths degree is situated in the School of Computing, Science & Engineering and the modules within this course are shaped to reflect the diversity of courses within the School - meaning you will have many options as to which industry you wish to take your mathematical skills.

Course Details

Some of your first year will follow on from what you have learned at A level with modules in linear algebra, calculus and probability. At Salford you will also learn about mathematical modelling from an early stage so you become familiar with modelling particular physical processes relevant to industries such as engineering and computing.

In your second year you will continue to solve real-world problems in a dedicated module called Business and Industrial Mathematics. Other modules include Numerical Analysis, Inviscid Fluid Dynamics and Statistics.

In your third year you will have the option to specialise alongside your core modules and also carry out a project in an area of your choice.

Course Structure

Year 1

This module will build upon and extend your A Level (or equivalent) mathematical probability knowledge and develop the subject of probability with applications.
This module will introduce the concept of proofs and construct simple proofs. It will give you an understanding of fundamental concepts of limit, continuity, differentiability, integration and function in mathematical analysis. On completion of the module you will be able to apply the notion of limit to prove fundamental theorems and to perform integration.
This module introduces the principles of linear algebra and you will develop skills in solving numerical problems using matrices.
This module will build upon and extend on your A Level (or equivalent) mathematical techniques and provide a mathematical foundation in support of subsequent mathematics modules. You will cover the subject of differential equations with applications.
This module will build upon and extend your A Level (or equivalent) mathematical techniques providing a mathematical foundation in support of subsequent mathematics modules. You will also cover differential equations with applications and be introduced to problem solving using a symbolic computing environment.
This module introduces the principles of classical mechanics and vector calculus. You will develop skills in solving numerical problems in mechanics and vector calculus.

Year 2

This module will give you experience in business and industrial working practices and how to solve practical mathematical problems.

At the beginning of the module a series of seminars will be given by speakers on a variety of mathematical applications in business in industry including: probability and statistics, operational research, fluids, structural and solid mechanics, (intelligent) computer algorithms, business and economic models, and how these impact on their work.

Deliverables, which consist of written reports and oral presentations, are assessed on a group basis and are to be produced both during and at the end of the semester to strict deadlines.

This module will introduce fundamental mathematical concepts of fluid dynamics, with a focus on inviscid flow. You will learn how to apply the techniques to important physical problems such as hydrodynamics and aerodynamics.
This module will extend your methods in differential and integral calculus, first and second order partial differential equations and methods in differential and integral calculus for the complex variable.
You will learn how to present key numerical (using the computer) solutions in optimisation and ordinary and partial differential equation. You will also apply the techniques to important physical problems such as the heat, diffusion and wave equation.
This module will develop a sound knowledge in probability models and distribution theory, skills in statistics and data analysis and provide an awareness of the principles and scope of data analysis models often implemented in statistical software packages.
This module will introduce tensors and tensor algebra. You will learn how to use tensors in the representation of physical phenomena and you will develop skills in vector calculus.

Year 3

Compulsory modules:

This module will teach you integral methods for scalar and vector fields and multiple integrals, in addition to the theory and the application of Fourier and Laplace transforms with examples.
The project will give you the opportunity to develop a mathematical model within one of the challenging research theme areas prioritized by EPSRC and the EU Research Council and of benefit and importance to society. These are: climate, nanotechnology, renewable energy and sustainable economics. The aim is for you to demonstrate your understanding of the application of mathematics to one of these areas and give you an opportunity to demonstrate your knowledge, understanding and skills.

Optional modules:

This module develops the concepts associated with modelling material response using a continuum theory.
The module aims to survey models for statistical and dynamic processes.
You will develop the concepts associated with operational research, and apply them to practical problems.
This module will give you the skills to derive the incompressible Navier-Stokes equations of a viscous fluid, and the ensuing Stokes, Oseen and Euler equations. You will also learn how to obtain solutions to the Stokes equation and Oseen equation in terms of the Green's integral representation by singular force solutions and how to apply to this a variety of problems, in particular flow past slender and thin bodies.
This module will allow you to learn aspects of object-programming applied to high-level real-time 3D graphics toolkits using the C++ programming language. You will study the mathematics of graphical transformations and apply this within computer laboratories in which the real-world applications of other aspects of the course can be demonstrated.

Please note that it may not be possible to deliver the full list of options every year as this will depend on factors such as how many students choose a particular option. Exact modules may also vary in order to keep content current. When accepting your offer of a place to study on this programme, you should be aware that not all optional modules will be running each year. Your tutor will be able to advise you as to the available options on or before the start of the programme. Whilst the University tries to ensure that you are able to undertake your preferred options, it cannot guarantee this.

Entry Requirements

Qualification Entry requirements
GCSE English Language and Maths at grade C or above
UCAS tariff points 120 points
GCE A level 120 points including an A level in Maths at grade B or a C in Further Maths or equivalent
BTEC National Diploma DMM
Scottish Highers 120 points including a A at Advanced Higher
Irish Leaving Certificate 120 points with an A1 in maths at Higher Level
International Baccalaureate 35 points with Grade 6 in Maths at Higher Level

Salford Alternative Entry Scheme (SAES)

We welcome applications from students who may not meet the stated entry criteria but who can demonstrate their ability to pursue the course successfully. Once we have received your application we will assess it and recommend it for SAES if you are an eligible candidate.

There are two different routes through the Salford Alternative Entry Scheme and applicants will be directed to the one appropriate for their course. Assessment will either be through a review of prior learning or through a formal test.

English Language Requirements

International applicants will be required to show a proficiency in English. An IELTS score of 6.0 (with no element below 5.5) is proof of this. If you need to improve your written and spoken English, you might be interested in ourEnglish language courses.

Applicant profile

You will be a high calibre student and keen to go on to study mathematics at degree level. You will be looking for a qualification that will give you business skills as well as studying pure mathematics, potentially enabling you to enter a wider range of careers.

We positively welcome applications from students who may not meet the stated entry criteria but who can demonstrate their ability to successfully pursue a programme of study in higher education. Students who do not have formal entry qualifications are required to sit a written assessment which is designed for this purpose. Support in preparing for the written assessment is available from the University. Please contact Sabine Von Hunerbein for further information.

Teaching

Teaching on the course is through:

  • lectures

This is normally a presentation or talk on a particular subject and will be delivered by one of your lecturers or visiting academics.

  • Tutorials and seminars

These group or individual discussions will strengthen your learning on a particular topic or project and will provide an opportunity for you to receive direct class based feedback about your work.

  • Laboratory/Workshop sessions

You will be taught and practice new skills and techniques sometimes through computing laboratory classes.

In support of the above methods of course delivery; online learning material and sometimes module assessment is made available via the University’s virtual learning system.

Group assignments and team based working on a variety of projects also enables our graduates to work with a range of diverse people in innovative ways.

Assessment

You will be assessed through a range of different methods, including:

  • Exams: these are normally two hours in duration and aim to test material presented in lectures, workshops and seminars
  • Presentations:  as an individual or group presentation of the final outcome to a particular assignment or brief
  • Continuous assessment: which will include class tests, reports and evaluations

Most modules have a  50% coursework / 50% exam weighting in the first year, falling to 30% coursework / 70% exams in the final year.

Employability

With a Mathematics degree from Salford you should have the knowledge and understanding of mathematical and scientific methods that will set you up for a career in the scientific and business industries such as finance, investment, market research, meteorology, engineering or operations, or progress on to further study. Previous roles of our graduates include financial analyst, software developer, teacher and statistician.

Career Prospects

There are a wide range of career options for mathematics graduates including:

  • Research scientist
  • Statistician
  • Operational researcher
  • Aeronautical engineer
  • Meteorologist
  • Secondary school teacher
  • Actuarial consultant
  • Financial risk analyst
  • Investment analyst
  • Chartered accountant
  • Market researcher
  • Transport planner

Links with Industry

We have been awarded Higher Education STEM funding for the delivery of the module Business and Industrial Mathematics.

This module will be delivered via seminars presented by guest speakers on a spectrum of mathematical applications used in their industry.

Further Study

MSc Data Science

Fees and Funding

Fees for entry in 2017-18 will be published as soon as possible.

Fees 2016-17

Type of StudyFee
Full-time£9,000
Full-time International£11,450

Additional costs

You should also consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.