Mathematics with Computer Science

UCAS code: GG1K

Here's what Lancaster University says about its Mathematics with Computer Science course.

Mathematics forms the foundations of all technology and computing. This intrinsic link provides you with limitless opportunities to experiment and innovate, giving you the power to revolutionise business, healthcare, the government, and beyond.

By combining the study of Mathematics with Computer Science, you will gain the specialist skills and knowledge needed to excel in this field. You will develop invaluable insight into key concepts and systems in to tackle the biggest challenges of today - artificial intelligence, machine learning, data management, and cyber security and risks – and understand the mathematical concept and processes behind them.

What to expect Our four-year MSci Hons Mathematics with Computer Science degree begins by guiding you through the mathematical concepts and methods that sit at the foundation of both disciplines. From multivariable calculus, probability and statistics, to logic, proofs, and theorems. Alongside this, you will be introduced to software development and the fundamentals of computer science, where you will gain essential technical knowledge and interdisciplinary skills.

Progressing into Year 2, through a range of core and optional modules, you will start to delve deeper into topics across both disciplines, and these include human-computer interaction, software design, advanced linear algebra, AI, cryptography, languages and compilation, security and risk, and stochastic processes. As part of this, you will apply your learning in group projects inspired by real-world challenges. For example, past students have demonstrated their software skills by developing a playable computer game.

In Year 3 is where you start to develop your interests through a wide choice of optional modules, customising your degree to suit your career ambitions.

Master’s-level training You can advance your degree in Year 4 by studying Master’s modules and undertaking a major research project. This project will be supervised by an active researcher or undertaken as part of a collaborative industry project.

Personal development You will develop valuable transferable skills such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. Your practical skills gained in programming, software design and testing prepare you for applications in the real world. These skills combined skills are honed by working in collaboration with fellow students, ruminating on theories and testing them out, delivering presentations and communicating your research results.

A supportive community To help you transition from A-level to degree-level study, the School of Mathematical Sciences hosts weekly workshops, problem-solving classes, and one-to-one sessions. If you wish to engage with mathematics beyond that, the MathSoc hosts a weekly Maths Café that includes access to academic support and a casual space to chat with other students. You will also benefit from being a part of our School of Computing and Communications with access to societies such as LUHack and Women++@InfoLab. There’s also daily support sessions in the FAST Hub run by academics.

Important Information For the most up-to-date course information and more details, we recommend that you revisit our website before submitting your application.