Mathematics and computing are intrinsically linked. By combining them in one programme you gain a comprehensive understanding of the fundamental and advanced aspects of the two disciplines, equipping you with the specialist skills and technical knowledge to excel in your chosen career. Mathematics forms the foundations of all technology and computing, and as such, a rigorous study of the discipline provides invaluable insight and understanding into computer science. Furthermore, computer science is itself a dynamic discipline with a wide range of applications. As a result, this combined programme offers you a robust and comprehensive skill set, in-depth specialist knowledge, and fantastic career opportunities. You will explore the theory and practice of innovative and experimental computer science, while gaining an advanced understanding of the mathematical concepts and processes behind them. To prepare students for their work placement year, our Careers and Placements Team will provide advice and guidance on: the skills required to create effective CVs, cover letters and applications; tips and techniques on how to make an impact at interviews and assessment centres; how to create a relevant digital profile; and how to research employers and career sectors of interest. In addition, there is great emphasis placed upon developing self-awareness and on how to present yourself in a professional manner to employers. This optional provision will be delivered via a blend of traditional and digital methods including face-to-face workshops, online webinars, e-courses and 1:1 appointments. 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. Additionally, you will be introduced to software development and the fundamentals of computer science. These topics will allow you to gain a wealth of technical knowledge and develop key interdisciplinary skills. In the second year, you will begin to drill down into specialist maths and computing modules, studying Human-Computer Interaction, Software Design and advanced Linear Algebra. These core modules will ensure you gain a solid understanding of the disciplines that is applicable in the real-world. Alongside these, you will also be able to choose from a range of optional maths and computing modules, these include: Abstract Algebra; Complex Analysis; Databases; and Social, Ethical and Professional Issues in Computing. In addition, you will bring your skills and knowledge together in a group project, which will allow you to apply what you have learnt to the real-world and gain valuable, practical experience. In third year, you will undertake a 12-month placement that will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. You will also submit monthly learning logs reflecting on your experience. The University will use all reasonable effort to support you to find a suitable placement for your studies. While a placement role may not be available in a field or organisation that is directly related to your academic studies or career aspirations, all placement roles offer valuable experience of working at a graduate level and gaining a range of professional skills. If you are unsuccessful in securing a suitable placement for your third year, you will be able to transfer to the equivalent non-placement degree scheme and would continue with your studies at Lancaster, finishing your degree after your third year. The University offers a range of shorter placement and internship opportunities for which you would be welcome to apply.

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: GG1L

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.

Test	Grade	AdditionalDetails

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
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Lancaster
LA1 4YW