Bachelor of Science (with Honours) - BSc (Hons)
Here's what you will need to get a place on the Computer Science (Artificial Intelligence) course at Nottingham Trent University.
Select a qualification to see required grades
112 - 120 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including IT, Maths or Science subject)
Most popular A-levels studied
The Computer Science (Artificial Intelligence) course at Nottingham Trent University features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.
| Subject | Grade |
|---|---|
| Mathematics | A |
| Computer Science | B |
| Physics | B |
| Biology | D |
| Chemistry | D |
| Subject | Grade |
|---|---|
| Mathematics | C |
| Computer Science | C |
| Physics | C |
| Chemistry | D |
| Biology | D |
UCAS code: G414
Here's what Nottingham Trent University says about its Computer Science (Artificial Intelligence) course.
This course is aimed at students who are interested and inspired by the new AI technologies and want to work to become a leader in meeting the challenges posed by AI and big data. This course will support students with a broad range of skills required to work in the field of AI - including machine learning, natural language processing, problem solving and other cognitive techniques, as well as an understanding of the professional and ethical considerations that surround AI.
It is designed to enable you to develop the knowledge and skills that are necessary for, specifically, a career in the industry sectors undertaking the design of intelligent computer systems and emerging smart technologies and, generally, for a broad range of careers in industrial, commercial and scientific computing. The BSc (Hons) Computer Science (Artificial Intelligence) degree has been designed to meet the accreditation requirements of BCS – the Institute for IT, for both CITP and partial CEng registration.
Professional accreditation
Accreditation of courses by the BCS provides independent recognition that the course content is relevant to the IT profession. It ensures a level of standardisation across Higher Education institutions so that the courses meet the needs of employers. A key part of the accreditation is the incorporation of professional, ethical, social and legal issues relating to computing. Graduating from a BCS accredited degree allows students to apply for professional membership of the BCS, giving an accelerated route to Chartered status. Employers often look for accredited degrees, and accredited degrees are recognised internationally.
Develop your portfolio
The course puts theory into practice through skills development relevant to the modern world, in particular, the use of artificial intelligence (AI), machine learning and cognitive computing in an increasing number of industry sectors. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the industries using AI, you will develop transferable skills which will make you suitable for general graduate employment in an ever-changing job market.
Research informed teaching
As well as giving you a robust general education in Computer Science, with emphasis on AI design and development, the Computer Science (Artificial Intelligence) degree will provide the knowledge and skills necessary for research and development in other technically advanced fields of computing.
Take a work placement
The salaried placement year is an important feature of the sandwich version of the course. The work experience gained from a placement year can give you a distinct advantage on graduating. It requires a successful application process through a company. The NTU Employability team provide support in finding a placement that is right for you and support all stages in the placement application process. Students can transfer between full-time and sandwich versions of the course up to the end of Level 5 (year 2).
Source: Nottingham Trent University
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
School of Science and Technology
Location
Clifton Campus | Nottingham
Duration
3 Years
Study mode
Full-time
Subjects
• Artificial intelligence
• Computer science
Start date
September 2026
Application deadline
14 January 2026
| Location | Fees |
|---|---|
| England | £9,790 per year |
| Scotland | £9,790 per year |
| Wales | £9,790 per year |
| Northern Ireland | £9,790 per year |
| EU | £17,950 per year |
| International | £17,950 per year |
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The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
The Computer Science (Artificial Intelligence) course at Nottingham Trent University features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni
Select an option to see a detailed breakdown
Teaching on my course
84%
med
How often does your course challenge you to achieve your best work?
89%
high
How good are teaching staff at explaining things?
92%
med
How often do teaching staff make the subject engaging?
70%
med
How often is the course intellectually stimulating?
84%
med
Learning opportunities
82%
med
To what extent have you had the chance to bring together information and ideas from different topics?
83%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
83%
med
How well has your course developed your knowledge and skills that you think you will need for your future?
86%
high
To what extent have you had the chance to explore ideas and concepts in depth?
78%
med
To what extent does your course have the right balance of directed and independent study?
80%
med
Assessment and feedback
85%
high
How well have assessments allowed you to demonstrate what you have learned?
90%
high
How fair has the marking and assessment been on your course?
86%
med
How often does feedback help you to improve your work?
74%
med
How often have you received assessment feedback on time?
87%
high
How clear were the marking criteria used to assess your work?
86%
high
Academic support
84%
med
How easy was it to contact teaching staff when you needed to?
84%
med
How well have teaching staff supported your learning?
84%
med
Organisation and management
76%
med
How well were any changes to teaching on your course communicated?
77%
med
How well organised is your course?
75%
med
Learning resources
87%
med
How well have the IT resources and facilities supported your learning?
89%
med
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
82%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
89%
med
Student voice
76%
med
How clear is it that students' feedback on the course is acted on?
69%
med
To what extent do you get the right opportunities to give feedback on your course?
83%
med
To what extent are students' opinions about the course valued by staff?
75%
med
How well does the students' union (association or guild) represent students' academic interests?
80%
high
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
94%
high
How well communicated was information about your university/college's mental wellbeing support services?
89%
high
Select an option to see a detailed breakdown
Teaching on my course
77%
low
How often does your course challenge you to achieve your best work?
92%
med
How good are teaching staff at explaining things?
92%
med
How often do teaching staff make the subject engaging?
46%
low
How often is the course intellectually stimulating?
77%
low
Learning opportunities
73%
low
To what extent have you had the chance to bring together information and ideas from different topics?
92%
high
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
77%
low
How well has your course developed your knowledge and skills that you think you will need for your future?
83%
med
To what extent have you had the chance to explore ideas and concepts in depth?
77%
low
To what extent does your course have the right balance of directed and independent study?
46%
low
Assessment and feedback
86%
high
How well have assessments allowed you to demonstrate what you have learned?
92%
high
How fair has the marking and assessment been on your course?
85%
med
How often does feedback help you to improve your work?
77%
med
How often have you received assessment feedback on time?
100%
high
How clear were the marking criteria used to assess your work?
77%
med
Academic support
83%
low
How easy was it to contact teaching staff when you needed to?
91%
med
How well have teaching staff supported your learning?
82%
low
Organisation and management
58%
low
How well were any changes to teaching on your course communicated?
44%
low
How well organised is your course?
67%
low
Learning resources
69%
low
How well have the IT resources and facilities supported your learning?
62%
low
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
91%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
62%
low
Student voice
77%
med
How clear is it that students' feedback on the course is acted on?
50%
med
To what extent do you get the right opportunities to give feedback on your course?
92%
high
To what extent are students' opinions about the course valued by staff?
83%
med
How well does the students' union (association or guild) represent students' academic interests?
57%
low
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
91%
med
How well communicated was information about your university/college's mental wellbeing support services?
75%
low
The Computer Science (Artificial Intelligence) course at Nottingham Trent University features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.
We have no information about graduates who took Computer Science (Artificial Intelligence) at Nottingham Trent University.
Earnings from Nottingham Trent University graduates who took Computer Science (Artificial Intelligence) - or another course in the same subject area.
Earnings
£24.1k
First year after graduation
£28.8k
Third year after graduation
£34.7k
Fifth year after graduation
Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Computer Science (Artificial Intelligence).
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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Source: Nottingham Trent University
