Computer Science
De Montfort University
UCAS Code: G400 | Bachelor of Science (with Honours) - BSc (Hons)
De Montfort University
UCAS Code: G400 | Bachelor of Science (with Honours) - BSc (Hons)
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
From programming to software engineering, computer science is directly linked to a range of industries such as medicine, education, entertainment, security, and architecture.
Find your place within this diverse course at DMU - with over 50 years of teaching and BCS accreditation, we continue to focus on modern approaches to software systems development as well as the exploration of theoretical and practical programming language concepts and software design methods.
Our facilities provide computer workstations for students to use, with four interconnected computing laboratories with HP PCs running Windows/Linux. Many of the software packages are open source, meaning our students can download and run the software as needed for their course while at home.
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
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.
You deserve a positive teaching and learning experience, where you feel part of a supportive and nurturing community. That’s why most students will enjoy an innovative approach to learning using block teaching, where you will study one module at a time. You’ll benefit from regular assessments - rather than lots of exams at the end of the year - and a simple timetable that allows you to engage with your subject and enjoy other aspects of university life such as sports, societies, meeting friends and discovering your new city. By studying with the same peers and tutor for each block, you’ll build friendships and a sense of belonging.
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 the overall teaching satisfaction score 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.
£22k
£27k
£35k
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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