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University of Nottingham

Computer Science with Artificial Intelligence

UCAS Code: G4G1

Master of Science (with Honours) - Msci (Hon)

Entry requirements


A level

A,A,A-A,A,B

AAB - with A in Computer Science. General Studies, Critical Thinking and Citizenship Studies are not accepted.

Access to HE Diploma

D:30,M:15

Access in IT or Computing accepted, Access in Science or Technology will be considered.

Cambridge International Pre-U Certificate - Principal

D3,M1,M1

D3. M1, M2 if taking Computing /Computer Science

International Baccalaureate Diploma Programme

36

or 34 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

Pearson BTEC Extended Diploma (QCF)

D*D*D*

IT or Computer Science pathway required

Pearson BTEC Level 3 National Diploma (first teaching from September 2016)

D*D*

This qualification is only accepted when combined with A Level grade A

Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)

D*

This qualification is only accepted when combined with A Level grades AA

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DDD

IT or Computer Science pathway required

Scottish Advanced Higher

A,A

Plus Higher grades AAABB including Mathematics

Scottish Higher

A,A,A,B,B

Including Mathematics. This qualification is only accepted when combined with Advanced Higher grades AA.

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

112-153

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

About this course


Course option

4.0years

Full-time | 2021

Subjects

Computer science

Artificial intelligence

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 first year, you will be introduced to the key concepts and tools underpinning modern computer science with artificial intelligence. In your second year, you will consolidate what you have learnt so far by taking part in a group project accompanied by a course of lectures. At the same time, you will study artificial intelligence and programming in greater depth and meet other new core computing topics. In third year, whilst selecting the majority of your modules from an extensive list of options, you will undertake modules in Designing Intelligent Agents, Knowledge Representation and Reasoning, and Systems and Real-Time Programming. In your final year you will undertake an individual or group project.

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
£9,250
per year
International
£23,760
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

TEF rating:
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%
high
Computer science
79%
med
Artificial intelligence

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

79%
Staff make the subject interesting
88%
Staff are good at explaining things
81%
Ideas and concepts are explored in-depth
85%
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

91%
Library resources
81%
IT resources
95%
Course specific equipment and facilities
85%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

68%
UK students
32%
International students
87%
Male students
13%
Female students
89%
2:1 or above
11%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
B

Artificial intelligence

Teaching and learning

82%
Staff make the subject interesting
82%
Staff are good at explaining things
79%
Ideas and concepts are explored in-depth
88%
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

91%
Library resources
76%
IT resources
94%
Course specific equipment and facilities
82%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

36%
UK students
64%
International students
86%
Male students
14%
Female students
78%
2:1 or above
7%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
A
B

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.

£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.

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
95%
high
Employed in a role where degree was essential or beneficial

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.

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.

£27k

£27k

£34k

£34k

£34k

£34k

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.

£27k

£27k

£34k

£34k

£34k

£34k

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