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University of Edinburgh

Artificial Intelligence and Mathematics

UCAS Code: GG17

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

A,A,A-A,B,B

Minimum entry requirement: ABB in one sitting, to include Mathematics at Grade A.

International Baccalaureate Diploma Programme

37-32

Award of Diploma with 37 points overall and grades 666 at HL - 32 points overall and grades 655 at HL to include Mathematics at Grade 6.

Scottish Higher

A,A,A,A-A,A,B,B

Minimum entry requirement: AABB by end of S5 or AABBB/AAAB from S4-S6, with a minimum of BBB achieved in one year of S4-S6, to include Mathematics at Grade A. We strongly recommend that you study Advanced Higher Mathematics.

UCAS Tariff

120-144

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

58%
Applicants receiving offers

About this course


Course option

4years

Full-time | 2018

Subjects

Artificial intelligence

Mathematics

Artificial intelligence (AI) studies the principles and mechanisms underlying intelligent processes in humans and other living organisms and attempts to apply such knowledge to the design of computer-based systems and to the understanding of natural intelligence. In recent years AI has become more mathematical. AI researchers have been extracting neat techniques from their "scruffy" programs and formalising them using mathematics. New uses are being found for mathematics in every area of AI and where existing mathematics is not up to the task, new kinds of mathematics are being invented. The Artificial Intelligence and Mathematics programme aims to reflect these developments. Studying at the University of Edinburgh's School of Informatics will provide you with a good foundation in computer science and will offer a new perspective on ways that computational thinking can be applied to different settings. You will develop a solid scientific understanding, and the practical skills required to analyse, design, implement and maintain computer-based systems in any setting. We are consistently highly ranked for research and teaching in Computer Science and Informatics, coming 20th in the QS World University Rankings by Subject 2016. Informatics students come from diverse backgrounds and enjoy a strong community that will support you in your studies and extra-curricular activities.

Tuition fees

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

England
£9,250
per year
EU
£1,820
per year
International
£24,600
per year
Northern Ireland
£9,250
per year
Scotland
£1,820
per year
Wales
£9,250
per year

The Uni


Course location:

Central area campus

Department:

School of Mathematics

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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.

73%
med
Artificial intelligence
82%
med
Mathematics

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

65%
Staff make the subject interesting
78%
Staff are good at explaining things
86%
Ideas and concepts are explored in-depth
70%
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

81%
Library resources
80%
IT resources
94%
Course specific equipment and facilities
53%
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?

42%
UK students
58%
International students
68%
Male students
32%
Female students
79%
2:1 or above
9%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
B

Mathematics

Teaching and learning

73%
Staff make the subject interesting
92%
Staff are good at explaining things
85%
Ideas and concepts are explored in-depth
67%
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

94%
Library resources
83%
IT resources
97%
Course specific equipment and facilities
81%
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?

59%
UK students
41%
International students
56%
Male students
44%
Female students
81%
2:1 or above
7%
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.

£27,000
med
Average annual salary
97%
low
Employed or in further education
90%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

77%
Information technology and telecommunications professionals
4%
Other administrative occupations
3%
Teaching and educational professionals
What do graduate employment figures really tell you?

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.

Mathematics

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.

£23,000
med
Average annual salary
92%
low
Employed or in further education
90%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

32%
Business, finance and related associate professionals
25%
Business, research and administrative professionals
11%
Teaching and educational professionals
What do graduate employment figures really tell you?

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

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.

£22k

£22k

£32k

£32k

£36k

£36k

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.

Mathematics

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

£23k

£32k

£32k

£37k

£37k

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.

Have a question about this info? Learn more here

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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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