Mathematics forms the foundations of all science and technology and as such is an extensive and rigorous discipline. Our programme reflects this and offers a comprehensive, detailed study through excellent teaching and development opportunities. Maths is difficult to concisely define, but at its core it is the study of change, patterns, quantities, structures and space. This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are leaders in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career. During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and mathematical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX. Your final year offers a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. You will have the chance to apply the skills and knowledge you have gained in the first two years in advanced mathematical modules such as Combinatorics, Number Theory, Hilbert Space and Metric Spaces.

Modules are not listed for this Course.

Assessment Methods are not listed for this Course.

Professional Bodies are not listed for this Course.

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: L14

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 it is not a compulsory entry requirement to take STEP or the Test of Mathematics for University Admission, but for applicants who are taking any of the papers alongside Mathematics and/or Further Mathematics we may be able to make a more favourable offer. For more information please see Lancaster University Mathematics and Statistics webpages.

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

Minimum Further Information are not listed for this Course.

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English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 90%

Employment after 15 months (Most common jobs): 60%

Go onto work and study: 85%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1

for details of the fees for Channel Islands and international students, please visit our website for details of the specific fees for the degree programme you wish to study.

Bailrigg
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Lancaster
LA1 4YW