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Computer Science with Artificial Intelligence

Entry requirements


A level

A*,A,A-A,A,A

Access to HE Diploma

D:45

Pass Access to HE Diploma with 45 graded credits at Level 3 with 45 Distinction

Cambridge International Pre-U Certificate - Principal

D3,M1,M1

D3. M1, M2 if taking Computing /Computer Science

International Baccalaureate Diploma Programme

38

or 36 points with 6 in HL Computer Science 5 in Mathematics at Higher or Standard Level, if no GCSE 5 (B) in Mathematics.

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)

H1,H2,H2,H2,H2,H2

Case by case basis

Case by case basis

Case by case basis

Case by case basis

Scottish Advanced Higher

A,A

Plus Higher grades AAABB including Mathematics

Scottish Higher

A,A

Welsh Baccalaureate - Advanced Skills Challenge Certificate (first teaching September 2015)

A

This qualification is only acceptable when combined with A Level grades AA (AB if taking Computer Science) or equivalent

UCAS Tariff

66-152

We've calculated how many Ucas points you'll need for this course.

About this course


Course option

4years

Full-time | 2024

Subjects

Artificial intelligence

Computer science

This MSci course will give you a masters-level qualification in a degree specialised in artificial intelligence. Your fourth year will consist of a major research project in any area of artificial intelligence you choose.

This course will focus on advanced areas of artificial intelligence giving you expert knowledge in this field. You will explore topics such as user experience design, autonomous systems and machine learning. This tailored programme will give you key skills and knowledge to help start a career in an increasingly innovative industry.

You'll also study the fundamental areas of computer science. Our teaching and modules are linked to our own specialised research groups, giving you a wide range of optional modules to choose from. This also means you will be taught by experts in their field who use their own active research to support their teaching. You may recognise some of our tutors from the Computerphile YouTube series.

To help support our students, we offer an Excellence in Computer Science scholarship which ranges from 10-50% off your tuition fees.

This course is accredited by the British Computer Society. You will have the flexibility to transfer between computer science courses after your first year. This can include courses with an international year or a year in industry.

Modules

In the first year, you will be introduced to the fundamentals of artificial intelligence. This will give you a broad knowledge of the field, such as AI search techniques, data mining, and ethics. You will learn the foundations of computer science. This will include modules on programming languages such as C, Java and Haskell.

In your second year, you will study more advanced modules in artificial intelligence. This will build on your knowledge from the first year. You'll learn about topics such as AI techniques and algorithm efficiency. Optional modules are also available for you to study topics that you are personally interested in. These include human-computer interaction or C++ programming.

Year three offers a wide range of flexibility. We offer lots of optional modules so you can choose what you study and tailor your degree to your own interests. Our modules are linked to our own research groups. This means we are able to offer a wide variety of topics.

In your final year, you can choose to complete a research project. This can be in any area of artificial intelligence. You will be supported by our academic staff and world-leading research groups.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£28,600
per year
International
£28,600
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University Park Campus

Department:

School of Computer Science

Read full university profile

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.

80%
Artificial intelligence
77%
Computer science

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.

Artificial intelligence

Teaching and learning

77%
Staff make the subject interesting
85%
Staff are good at explaining things
74%
Ideas and concepts are explored in-depth
74%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

88%
Library resources
89%
IT resources
90%
Course specific equipment and facilities
83%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

45%
UK students
55%
International students
81%
Male students
19%
Female students
83%
2:1 or above
7%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
B

Computer science

Teaching and learning

76%
Staff make the subject interesting
81%
Staff are good at explaining things
77%
Ideas and concepts are explored in-depth
83%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

87%
Library resources
77%
IT resources
90%
Course specific equipment and facilities
71%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

73%
UK students
27%
International students
84%
Male students
16%
Female students
82%
2:1 or above
12%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
A

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.

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.

£27,500
high
Average annual salary
94%
med
Employed or in further education

Top job areas of graduates

83%
Information technology and telecommunications professionals
3%
Business, finance and related associate professionals
3%
Engineering professionals

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.

£27,500
high
Average annual salary
94%
med
Employed or in further education
95%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

83%
Information technology and telecommunications professionals
4%
Business, finance and related associate professionals
4%
Information technology technicians

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.

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.

£30k

£30k

£36k

£36k

£50k

£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.

£30k

£30k

£36k

£36k

£50k

£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 criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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