Foundation Mathematics A and B
Mathematics with Foundation Year
School of Science, Engineering and Environment
In a nutshell
Many of civilisation’s greatest achievements are built on mathematics. By choosing a mathematics degree, you will learn to make an important contribution to the world around us, be it in science, technology or engineering. The foundation year pathway is designed to help you build a strong foundation in mathematical principles, so you are ready to progress onto our BSc (Hons) Mathematics Degree.
This pathway is recommended if you don't meet the prerequisites for the full honours degree, whether you are new to higher education or seeking to develop your career in a new direction. On successful completion of the foundation year, you will progress on to the full honours degree, where you will continue to build specialised knowledge and mathematical skills.
Our mathematics course is designed to take you to an advanced level. Blending applied methods with cutting-edge themes, like nanotechnology, economic stability and artificial intelligence, you’ll graduate with in-demand skills for the contemporary business environment.
- Identify, define and evaluate real-world problems, using applied mathematics to challenge conventional ideas
- Be taught by a combination of experienced mathematicians and finance sector staff
- Engage with business and industry throughout the course
- Become familiar with modelling physical processes relevant to industries such as engineering and computing
This is for you if...
You're passionate about studying mathematics but lack the qualifications for direct entry onto the Honours degree
You want to learn how to identify, analyse and solve real-world challenges
You're a keen problem-solver who enjoyed mathematics at school/college
All about the course
Based on the A-level system, our Foundation Year entry route is an intensive academic programme will improve your competences in mathematics. Led by experienced staff in a small-group environment, using a range of lectures and tutorials, you’ll identify, define and evaluate real-world problems, using applied mathematics to challenge conventional ideas.
As you gain and develop knowledge during this year, you’ll be well-placed to refine your mathematical skills. On successful completion of the Foundation Year, you’ll progress to our full BSc Mathematics degree course.
For a further three years of study - or four, if you choose an industry placement, you will develop and advance your mathematics knowledge and skills.
- In year one of full undergraduate study, you'll explore core fundamentals of mathematics and consolidate and extend your knowledge.
- As you progress to year two, you'll continue to develop your knowledge of vector calculus and tensor algebra, statistics and numerical analysis.
- In your final year, you'll complete a final year project in an area of mathematics of your choice.
On this course, you'll have the option to take an industry placement between years two and three. Although you’ll be responsible for securing your placement, our tutors will support you, monitor your progress and assess your final placement report. By successfully completing a placement year, you can also add 'with professional experience' to your final degree award.
These modules entail the development of mathematical and modelling skills. Subjects include algebra, transposition of formulae, coordinate systems, logarithms, introduction to calculus, problem solving in velocity and acceleration, differentiation, integration and matrices.
Foundation Physics A and B
This module provides grounding in basic physics and the development of numerical problem solving. The syllabus includes, mechanics, properties of matter and wave propagation. Electronics and electricity are introduced, along with fields (magnetic, electric, gravitation etc.) and atomic and nuclear physics.
Introduction to Probability and Statistics
This module will introduce some core mathematics equivalent to A-level, including basic probability and statistics.
Foundation IT and Study Skills
This module involves the development of IT, research, team working, presentation and scientific reporting skills. In more detail, the use of spreadsheets, graphical representation of data, report writing, scientific presentations and group-based research will be undertaken.
This module will build upon and extend your A-Level (or equivalent) mathematical probability knowledge and develop the subject of probability with applications.
You will be introduced to 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.
Linear algebra is a fundamental topic which has applications in many branches of mathematics. You will look at the methods and theory behind the solution of simultaneous equations, and you will develop skills in solving linear problems using matrix methods and the concept of abstract vectors.
Mathematical Methods 1
You will build on your A-Level (or equivalent) mathematical techniques and knowledge in preparation for subsequent mathematics modules. Specifically, 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.
Mechanics and Vector Calculus
You will be introduced to the principles of classical mechanics and vector calculus. You will develop skills in solving numerical problems in mechanics and vector calculus.
Business and Industrial Mathematics
This module will give you experience in business and industrial working practices and how to solve practical mathematical problems.
At the start 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.
You will deliver written reports and oral presentations, which are assessed on a group basis, both during and at the end of the semester.
Inviscid Fluid Dynamics
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.
Mathematics Methods 2
You 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 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.
Vector Calculus and Tensor Algebra
Vector Calculus extends the one-dimensional calculus learnt in the first year. You will learn about integral methods for scalar and vector fields for multiple dimensions and be introduced to tensors and tensor algebra.
Mathematical Methods 3
You will investigate more advanced techniques of solving differential equations using for methods such as Fourier and Laplace transforms, series methods and more.
The project will give you the opportunity to develop a mathematical model within a challenging research theme, including those areas prioritised 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.
Using probability theory as well as other branches of mathematics such as linear algebra and analysis, you will revisit the foundations of statistics from a more mathematical standpoint. You will gain theoretical and practical skills in mathematical statistics, study some of the most widely used probability distributions and recognise and employ them in practical applications.
You will learn how the deformation of materials can be modelled mathematically using a continuum model.
You will learn the skills to construct mathematically based models to find better solutions to real-life and complex decision-making problems. These models draw upon mathematical knowledge, such as mathematical modelling, statistical analysis, mathematical optimization and artificial intelligence to find an optimal or near-optimal solution to problems from a variety of industries and government areas.
You will gain 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.
You will learn about 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 real-world applications 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.
What will I be doing?
You will develop your knowledge and skills through a blend of theoretical, collaborative and practical methods. These include:
- Tutorials and seminars on specific topics
- Talks and lectures by academics and industry guests lecturers
- Practical workshops for computer-based problem-based learning exercises
- Case studies and project work
- Group assignments
- Online learning using Blackboard
You will be assessed using a range of relevant methods. These include:
- Presentations: individual or group presentations of the final outcome to a particular assignment or brief
- Examinations: usually two hours in duration and aim to test material presented in lectures, workshops and seminars
- Written assessments: class tests, reports and evaluations
- Research project presentation: as an individual or group presentation of the final outcome to a particular assignment or brief
- Coursework and continuous assessment: which will include class tests, reports and evaluations
Some modules use 50% coursework/50% exam weighting, but most use 30% coursework/70% exams.
School of Science, Engineering and Environment
Rising to the challenge of a changing world, our degree courses are designed to shape the next generation of urbanists, scientists, engineers and industry leaders.
Driven by industry, and delivered by supportive programme teams, you can develop the knowledge and skills to become unstoppable in your career.
You will experience a modern learning environment, enriched with accessible lecture theatres and AV-equipped classrooms, computing suites and multimedia libraries, with access to industry journals, databases, and simulation software.
What about after uni?
At Salford, our mathematics courses are designed so that you build both a mathematical mind and a work-ready skillset relevant for our increasingly data-driven society. You will build a strong knowledge base and understanding of how mathematical and scientific methods can be applied in real-world problem-solving.
Mathematics and physics are vital tools for the development of humanity, and graduates have no shortage of exciting career options. The study and use of mathematical decision-making, and transferable analytical and problem-solving skills is highly valued by employers and are transferable across a range of industries.
You'll find graduate roles and career opportunities in a wide range of industries, including finance and investments, market research, meteorology, engineering or operations.
You might find you want to learn more about how to apply data and mathematics, so we offer a range of specialist postgraduate courses to help you take your career and interests even further. Salford graduates and alumni also receive a significant fees discount.
This course is extensively informed by collaboration between the university’s academics and industry partners from business, science, engineering and technology. The course team has a wide range of long-standing relationships with businesses and financial service sector companies industry in the North West and beyond.
Continued collaboration with these professions also ensures a stimulating range of external guest lecturers, as well as career networking opportunities and professional memberships.
What you need to know
This course is not suitable for international students.
If you are an international student, and interested in a foundation year study pathway, please visit our International Foundation Year course page.
We welcome applicants who have studied mathematics or physics subjects at school/college and would like to gain a deeper knowledge in these and other related subjects.
ENGLISH LANGUAGE REQUIREMENTS
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.
Please note: The entry criteria below are related to entry onto this course in the 2021/22 academic year.
English language and Mathematics at grade C/level 4 or above
You must fulfil our GCSE entry requirements as well as one of the requirements listed below.
UCAS tariff points
64 UCAS points where qualifications include both Mathematics and Physics to A-Level or equivalent standard. 72 UCAS points from any subject combination without Mathematics and Physics
64 UCAS points where qualifications include both Mathematics and Physics. 72 UCAS points from any subject combination without Mathematics and Physics
BTEC Higher National Diploma
MPP for Engineering or science subjects. MMP for subjects without Maths and Physics modules
Access to HE
64 UCAS points from QAA-approved Science or Engineering courses
64 UCAS points where qualifications include both Advanced Higher level Mathematics and Physics. 72 UCAS points from any subject combination without Advanced Higher level Mathematics and Physics
Irish Leaving Certificate
64 UCAS points where qualifications include both Higher Level Mathematics and Physics. 72 UCAS points from any subject combination without Higher Level Mathematics and Physics
Pass in Diploma of at least 60%, to include Science, Engineering or Technology
26 points including Higher Level Mathematics or Physics at grade 4
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.
|Type of study||Year||Fees|
|Full-time home||2021/22||£8,250 for Foundation Year and £9,250 for subsequent years.|
You should consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.
All set? Let's apply
Course ID G105
Interested in starting university in September 2022? Book your place on our next Open Day.