Computer Science and Mathematics at Lancaster University - UCAS

Course options

Course summary

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. 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. For the final year, your study will largely be guided by your own interests. Based upon what you have previously learnt, you can select from a wide range of modules, customising the third year to suit your career ambitions. These include: Artificial Intelligence, Combinatorics, Languages and Compilation, Security and Risk, and Stochastic Processes.


How to apply

Application codes

Course code:
GG14
Institution code:
L14
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2

Entry requirements

Qualification requirements


Student Outcomes

Operated by the Office for Students
83%
Employment after 15 months (Most common jobs)
95%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

For information on our fees, please see www.lancaster.ac.uk/study/fees-and-funding.
Computer Science and Mathematics at Lancaster University - UCAS