University of Sheffield
UCAS Code: G700 | Master of Computing (with Honours) - MCompu (H)
Entry requirements
A level
A*AA including Maths AAA including Maths and Computer Science
Access to HE Diploma
Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 42 at Distinction (to include 18 credits in Maths), and 3 at Merit
International Baccalaureate Diploma Programme
with 6 in Higher Level Maths
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
including Maths
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
in Engineering, Applied Science, IT or Computing + A in A Level Maths
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
in Engineering, Applied Science, IT or Computing + A in A Level Maths
Scottish Advanced Higher
A in Maths + AAAAA in Scottish Highers
T Level
Distinction in the Digital Production, Design and Development T Level, including grade A in the core component + A in A Level Maths
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
A + A*A including Maths at A Level A + AA in Maths and Computer Science at A Level
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Our four-year degrees are a one-year extension to our BSc degrees which allows further specialisation. In your fourth year you'll develop research and analytical skills. You have the opportunity to contribute to a publication of your research findings and will also take part in a conference style presentation where you present your work.
**Join the forefront of humanity's journey into intelligent systems with our four-year Computer Science (Artificial Intelligence) MComp.**
Beginning with the same foundation as the Computer Science BSc, our MComp degree gives you a grounding in the fundamentals, before encouraging you to specialise further in areas such as speech recognition, language processing or robotics.
Diverse teaching is at the core of our courses, allowing you to discover which areas ignite your passion. You'll have the opportunity to delve into the fascinating world of artificial intelligence, exploring areas like machine learning, natural language processing, and computer vision.
In your fourth year you will pursue a specialised AI theme, getting the chance to work alongside our research staff as part of a group research project. You'll also have the option to participate in Genesys Solutions – our student-led software development organisation – throughout your final year, solving customer’s problems, using agile software engineering and lean startup practice.
As well as gaining a comprehensive knowledge of computer science, you will be encouraged to work in teams, develop your communication skills, and think about the impact of your work in a real-world context. These are essential for a career in industry or research, and demonstrate the well-rounded education our programme will provide you.
By the time you graduate, you will be well-equipped to tackle complex AI challenges and make a significant impact in various industries. From developing intelligent healthcare systems to designing autonomous vehicles, the possibilities are truly limitless.
**This course is accredited by the British Computer Society (BCS). It fully meets the requirements for Chartered Information Technology Professional (CITP) and Chartered Engineer (CEng).**
**Why study this course?**
- Research-led teaching: Our Darwin module lets you engage in a substantial piece of group research, culminating with the possible production of a paper, as well as a final conference-style presentation.
- Specialist teaching and facilities: You'll have access to the latest hardware, software and operating systems, high-spec graphics computers, and a robotics arena in our dedicated computer labs. Our lecturers are renowned computer scientists, and their research shapes our teaching.
- Professional skills and group work: Professional, communication and presentation skills help to create more employable computer scientists and software engineers. These are extremely valuable to companies, making you a well-rounded and sought-after candidate.
- Flexible study options: It's possible to transfer between our courses. This provides an opportunity to understand which modules and areas of computer science spark your interest and flexibility to your education.
- Support throughout your degree: Our dedicated student welfare advisor can provide support, for example, if you are feeling down, overwhelmed or struggling to adjust to student life.
Tuition fees
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The Uni
University of Sheffield
School of Computer Science
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.
Electrical and electronic engineering
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)
Artificial intelligence
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)
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.
Electrical and electronic engineering
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 one of the more popular areas to study engineering and there is not quite such a serious shortage of electrical engineers as there is of other engineering subjects - but there's still plenty of demand. The most common jobs are in telecommunications, electrical and electronic engineering, but there is some crossover with the computing industry, so many graduates start work in IT and computing jobs. At the moment, there's a particular demand for electrical engineers in the electronics, and the car and aerospace industries, and also in defence, and salaries can vary across the country depending on the industry you start in. Bear in mind that a lot of courses are four years long, and lead to an MEng qualification — this is necessary if you want to become a Chartered Engineer.
Artificial intelligence
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
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
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.
Electrical and electronic engineering
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£28k
£33k
£40k
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.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£31k
£44k
£50k
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.
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.
£31k
£44k
£50k
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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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
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Course location and department:
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
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Teaching Excellence Framework (TEF):
We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the 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.
Have a question about this info? Learn more here
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?
Have a question about this info? Learn more here