Mathematics and computing are intrinsically linked. By combining them in one Masters programme you gain a robust, advanced understanding of the two disciplines, equipping you with sophisticated specialist skills and detailed technical knowledge, allowing you 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. The depth and breadth of knowledge and experience gained over the four years will prove to be a challenging but rewarding opportunity, placing you in the strongest position as you move forward into 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. 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; Linear Algebra; and Social, Ethical and Professional Issues in Computing. 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 modules, these include: Abstract Algebra, Complex Analysis, and Real Analysis. 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. For the third year, your study will be largely guided by your own interests. Compulsory modules, such as Artificial Intelligence, Languages and Compilation, and Security and Risk, will enhance and progress your computer science knowledge and provide insight into the sort of activity you will encounter in the real-world. However, the wide range of optional modules you can choose from will allow you to delve deeper into your own interests and customise the year to suit your career ambitions. The fourth and final year of your degree will introduce a variety of advanced modules for you to choose from. You can build a strong repertoire of maths and computer science skills and knowledge, to suit your interests and goals, including: Data Mining; Galois Theory; Lie Groups and Lie Algebras; Operator Theory; and Systems Architecture and Integration. You will also benefit from our Research Methods module, which will provide you with a formal understanding of research, and allow you to gain the appropriate skills and practices. You will learn to critically reflect on your research and will gain an appreciation of the different ways that other disciplines, academic communities and industries conduct research. This will provide invaluable insight and experience for many graduate careers as well as for continuing in academia.

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: GG1K

Institution code: L14

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Year 2

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
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Lancaster
LA1 4YW