Computer Science
Entry requirements
Pass in the QAA accredited Access to HE. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification.
International Baccalaureate Diploma Programme
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC National Diploma/ Extended Diploma
T Level
UCAS Tariff
from at least two A-levels or equivalent. Plus five GCSEs at grade 4 or above, including English and Mathematics or equivalent
About this course
With the digital era continuing to develop rapidly, the role of computing and its impact on our lives is more important than ever. New and innovative computer technologies are constantly being unveiled, with software engineers, systems developers, programmers and analysts playing a vital role in their creation and development.
Benefiting from more than 50 years of successful teaching, our Computer Science course focuses on modern approaches to software systems development, allowing you to explore both the theoretical and practical skills needed to understand programming language concepts, software design methods, secure web systems, computer architecture and computer networks.
The course prepares you for a wide variety of career opportunities, from programming and developer roles to software engineering, with computer technology closely linked with an extensive range of industries such as medicine, education, entertainment, security and architecture.
**Key features**
- Our diverse curriculum provides students with an equal balance of theory and practice and is embedded with contemporary technologies designed to tackle modern multi-core platforms.
- Important professional issues are covered including computer ethics, law, and security. Final year study includes big data, machine learning, and AI.
- Tailor your learning to your career ambitions through a range of optional third year modules, including: Functional Programming, Advanced Web Development, Fuzzy Logic and Inference Systems, and Privacy and Data Protection.
- Explore professional opportunities with an optional placement year. Previous Computer Science students have spent their third year in industry working in roles such as Placement Developer, Cloud Reliability Developer, Solution Engineer and Business Analyst Intern for organisations including Next, Leicestershire Police, Oracle, IBM and The Walt Disney Company.
- Graduates have gone on to work for companies such as ITN, Hewlett-Packard, IBM, Microsoft, BT, RBS, HSBC, DNEG and Experian.
- Gain valuable international experience as part of your studies with our DMU Global programme. On previous trips, Computer Science students met tech entrepreneurs in San Francisco and put their hacking skills to the test at New York’s Spyscape Museum.
- Benefit from Education 2030, where a simplified ‘block learning’ timetable means you will study one subject at a time and have more time to engage with your learning, receive faster feedback and enjoy a better study-life balance.
Modules
First year
Block 1: Database Design and Implementation
Block 2: Fundamental Concepts of Computer Science
Block 3: Computer Programming
Block 4: Operating Systems and Networks
Second year
Block 1: Object Oriented Design and Development
Block 2: Data Structures and Algorithms
Block 3: Web Application Development
Block 4: Agile Development Team Project
Third year
Block 1: Software Development: Methods and Standards
Block 2: Big Data and Machine Learning
Block 3 / 4: Development Project
Optional modules (choose one):
Block 3 / 4: Functional Programming
Block 3 / 4: Advanced Web Development
Block 3 / 4: Fuzzy Logic and Inference Systems
Block 3 / 4: Privacy and Data Protection
Assessment methods
On this course, you will benefit from Education 2030 - DMU’s new way of delivering courses. Through block teaching, you will focus on one subject at a time instead of several at once.
The teaching methods delivered on this course include staff directed learning via lectures, tutorials and laboratories, in addition to student-centred resource-based learning (including web-based resources), collaborative and group working, individual learning and student-centred learning via individual research / literature review.
Students will be assessed via a range of methods including time constrained phase tests, portfolios of work, programming and other laboratory exercises, viva voce examinations, project work, individual work and group work.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Leicester Campus
Computing, Engineering and Media
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
£28k
£34k
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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