Computer Science (MEng)
Buckinghamshire New University
UCAS Code: MCS1 | Master of Engineering - MEng
About this course
If you are looking to make an impression in the fast-paced IT world, studying a degree that provides you with a strong foundation in computing and an in-depth specialised knowledge in computer science this is a great place to start.
Software is an essential part in controlling computers, it can be a creative way to develop solutions to communication, financial, business, entertainment and healthcare problems. Working in the computing industry developing software is an exciting career that challenges you to use both analytical and creative skills and be at the forefront of the latest technological advances.
Why study this subject?
We are often asked what the difference is between our popular Software Engineering degree and our Computer Science degree? While they share many of the same key modules, computer science deals with the science behind the interaction between hardware and software systems and computational applications, with a strong emphasizes on computation theory and a wide range of subjects including coding, algorithms, machine learning, database management, and information security.
If you love the idea of creating valuable new applications and software, then our BSc (Hons) Computer Science degree is perfect for you. Across the world businesses and organisations rely on complex computer-based systems, and there is an ever-increasing demand for people with the skills to update, maintain and enhance the software. It is essential for qualified professionals to be available to keep national and international economies running. This programme has been carefully designed by our industry expert academics and professional bodies to provide you with the skills and abilities needed to thrive in the fast-moving software industry.
This is an exciting opportunity for you to gain a broader understanding and expertise in a range of areas, heading you towards the specialised fields like artificial intelligence, machine learning, security, or graphics from management, costing to project delivery. Gaining a solid grounding in these skills are crucial in ensuring that you graduate as a well-rounded and efficient computer scientist with the ability to approach projects in the most insightful and productive way.
Tuition fees
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The Uni
Buckinghamshire New University
School of Creative And Digital Industries
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.
£22k
£21k
£26k
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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