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Computing Science and Mathematics

1 Study option · UndergraduateMain Site

Course summary

Our modern world works because of computer scientists. It’s a world where the vast majority of global money exists only on computers and a computer can tell a fake smile from a real one. This course has a practical, problem solving approach. You’re taught how to design effective solutions to complex problems. Not only will this course give you the theory, but you’ll get lots of practical experience in how to design, build and analyse computer systems. You’ll also develop a firm understanding of how computers work as well as effective computer programming. Our graduates are highly sought-after. We’ll help you build strong links within the industry and give you the opportunity to take part in a three-month summer placement or a one-year placement. You’ll also have the chance to experience diverse international teaching methods if you choose to study abroad. Here at Stirling, you can enjoy access to a vibrant community with an active Computer Club that supports projects and activities for those interested in Computer Sciences, including the organisation of a Hackathon.

Do you enjoy numbers the way others enjoy music, poetry or art? Do you enjoy using Mathematics to explain real-world phenomena and solve problems? Mathematical training develops specific skills and broad analytical expertise, which are valued across all professions. There is also a particular demand for graduates who not only have quantitative skills, but also know how to use them. This course delivers that sought-after combination – through our teaching style, and our focus on real-world applications of both mathematical and statistical techniques. For example, you’ll use the mathematics computing laboratories as an integral part of your learning process, making your study as much experimental as theoretical. Our Computing Science and Mathematics division provides a stimulating and supportive learning environment, and we’ve a strong and active research group. Its primary interest is the application of mathematics to biology, economics and life sciences, and we offer combined Honours degrees in the relevant disciplines.

How to apply

Application codes

Course code:
G4G1
Institution code:
S75

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not available

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Student Outcomes

Operated by the Office for Students

60 Employment after 15 months (Most common jobs)

80 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

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