Computer Science
Entry requirements
A level
BBB in three A levels
Access to HE Diploma
122 UCAS points in any Access to HE Diploma including Distinction in at least 30 Level 3 credits
GCSE/National 4/National 5
4 / C in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification.
International Baccalaureate Diploma Programme
555 in three Higher Levels, OR 30 points
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDM in any BTEC Extended Diploma / National Extended Diploma
T Level
Merit in any T level
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Our BSc Computer Science degree will provide you with the theoretical tools and professional skills required to solve real-world problems, develop the software systems of the future, and be prepared for a successful career in a sector in constant evolution.
**Why choose this course?**
- Accredited by the British Computer Society - The Chartered Institute for IT
- Option to specialise on one of five pathways: Artificial Intelligence, Cyber Security, Games, Software Engineering or Web and App Development
- All necessary mathematics knowledge is provided within relevant modules
- Gain first-hand experience in industry with our Placement Year option
- Access a wide range of equipment including supercomputer facilities, a VR lab and a Maker Space
Our initial modules are designed to bring everyone up to speed, regardless of the starting level of coding experience, and to provide a gentle introduction to the skills required for effective academic study. You will then learn advanced programming concepts that can be applied in areas such as games programming, mobile app and web development, artificial intelligence and cyber security, not disregarding the human aspect of Computer Science thanks to the focus on user interaction and user interface design, software engineering methodologies (SCRUM, Agile) and cutting edge research in AI and machine learning.
We aim to ensure you have the necessary skillset for a successful career within the field of computing and in your final year you will have the opportunity to further specialise in advanced topics and to work on a final year project where you can unleash your creativity and apply the techniques you have acquired throughout your studies.
**About Keele**
Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university.
We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level.
Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.
Modules
For a list of indicative modules please visit the course page on the Keele University website.
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£34k
£39k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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