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Bachelor of Science (with Honours) - BSc (Hons)
Artificial Intelligence
University of Staffordshire
Entry requirements
Here's what you will need to get a place on the Artificial Intelligence course at University of Staffordshire.
We're still busy gathering entry requirements for Artificial Intelligence at University of Staffordshire. Look out for more info soon.
Most popular A-levels studied
The Artificial Intelligence course at University of Staffordshire 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 | B |
| Computer Science | B |
| Physics | D |
| Chemistry | C |
| Further Mathematics | D |
| Subject | Grade |
|---|---|
| Mathematics | B |
| Computer Science | B |
| Physics | B |
| Geography | B |
| History | C |
Course summary
What this course is about
UCAS code: I763
Here's what University of Staffordshire says about its Artificial Intelligence course.
Our BSc (Hons) Artificial Intelligence course is meticulously crafted to equip you with a strong academic foundation and industry-relevant skills. It will ensure you're poised for success in this rapidly expanding domain.
We’ll introduce you to projects, lots of practical learning and the platforms you’ll find in industry. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, empowering you with essential industry-recognised skills.
We offer some amazing work placement opportunities too - with companies locally, nationally and abroad. You can spend a year working in industry before you graduate, helping to transform services and products through AI.
On the course, you’ll develop a comprehensive understanding of AI principles and their practical applications. The modules cover vital aspects of AI, including machine learning, deep learning, computer vision, and natural language processing (NLP).
You will immerse yourself in a hands-on learning environment where theoretical knowledge converges with practical applications. By using advanced software and IDEs like NetBeans, PyCharm, and Visual Studio Code, students delve into modern languages (such as Java, Python and C++) to develop AI algorithms and machine learning models for a wide range of applications.
We collaborate closely with industry giants like Microsoft and Amazon, providing experience in programming, developing, and deploying AI solutions for societal needs. Your employability is at the heart of the course.
On successful completion of study, we will issue the following award: BSc (Hons) Artificial Intelligence
Source: University of Staffordshire
Course details
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
Digital, Technology, Innovation and Business
Location
University of Staffordshire (Stoke Campus) | Stoke-on-Trent
Duration
3 Years
Study mode
Full-time
Subjects
• Mechatronics and robotics
• Artificial intelligence
Start date
21 September 2026
Application deadline
14 January 2026
Tuition fees
| Location | Fees |
|---|---|
| England | £9,535 per year |
| Scotland | £9,535 per year |
| Wales | £9,535 per year |
| Northern Ireland | £9,535 per year |
| Channel Islands | £9,535 per year |
| Republic of Ireland | £9,535 per year |
| EU | £9,535 per year |
| International | £17,085 per year |
The modules you will study
Year 1 Core: Algorithms and Programming Concepts, Applications of AI, Cloud and Cyber, Computer Architecture and Operating Systems Design, Data and Distributed Systems, Networks and Communications
Year 2 Core: Advanced Machine Learning, Artificial Intelligence, Data Analytics, Data Structure and Algorithms, Problem Solving using Object Oriented Programming, Professional Practice and Project Management
Year 3 Core: Advanced Data Science, Computer Vision, Dissertation, Natural Language Processing, Negotiated Studies
University of Staffordshire student reviews
Showing 50 reviews
2nd year student
1 year ago
Good facilities.rnHave not used enough to comment.
2nd year student
1 year ago
LRV have raves and nights out, but I have not attended any. rnNot much to do in the general area.rn
2nd year student
1 year ago
Expensive shops and food
2nd year student
1 year ago
Support academically is little to none.rnWelfare support is poor
2nd year student
1 year ago
Science centre is good with great laboratories.rnCatalyst building looks new, but catering let's it down significantly.rnSome buildings have rooms with no windows or air conditioning, which is not a nice room to have lectures in.rnOverall, decent campusrn
2nd year student
1 year ago
I feel that I am not being taught the content efficiently.rnThe course feels incomplete and inconsistency with the teaching methods and that no effort it being made to support struggling students.
National Student Survey (NSS) scores at University of Staffordshire
The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
The Artificial Intelligence course at University of Staffordshire 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
67%
low
Teaching on my course
67%
low
How often does your course challenge you to achieve your best work?
61%
low
How good are teaching staff at explaining things?
73%
low
How often do teaching staff make the subject engaging?
67%
low
How often is the course intellectually stimulating?
70%
low
Learning opportunities
76%
med
Learning opportunities
76%
med
To what extent have you had the chance to bring together information and ideas from different topics?
79%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
82%
med
How well has your course developed your knowledge and skills that you think you will need for your future?
76%
med
To what extent have you had the chance to explore ideas and concepts in depth?
73%
med
To what extent does your course have the right balance of directed and independent study?
73%
med
Assessment and feedback
78%
med
Assessment and feedback
78%
med
How well have assessments allowed you to demonstrate what you have learned?
70%
low
How fair has the marking and assessment been on your course?
100%
high
How often does feedback help you to improve your work?
79%
med
How often have you received assessment feedback on time?
67%
med
How clear were the marking criteria used to assess your work?
82%
med
Academic support
76%
low
Academic support
76%
low
How easy was it to contact teaching staff when you needed to?
79%
low
How well have teaching staff supported your learning?
73%
low
Organisation and management
79%
med
Organisation and management
79%
med
How well were any changes to teaching on your course communicated?
79%
med
How well organised is your course?
79%
high
Learning resources
69%
low
Learning resources
69%
low
How well have the IT resources and facilities supported your learning?
67%
low
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
77%
low
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
67%
low
Student voice
85%
high
Student voice
85%
high
How clear is it that students' feedback on the course is acted on?
70%
med
To what extent do you get the right opportunities to give feedback on your course?
94%
high
To what extent are students' opinions about the course valued by staff?
91%
high
How well does the students' union (association or guild) represent students' academic interests?
73%
med
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
100%
high
How well communicated was information about your university/college's mental wellbeing support services?
84%
med
Select an option to see a detailed breakdown
Teaching on my course
92%
high
Teaching on my course
92%
high
How often does your course challenge you to achieve your best work?
93%
high
How good are teaching staff at explaining things?
93%
med
How often do teaching staff make the subject engaging?
93%
high
How often is the course intellectually stimulating?
87%
med
Learning opportunities
91%
high
Learning opportunities
91%
high
To what extent have you had the chance to bring together information and ideas from different topics?
93%
high
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
87%
med
How well has your course developed your knowledge and skills that you think you will need for your future?
87%
med
To what extent have you had the chance to explore ideas and concepts in depth?
93%
high
To what extent does your course have the right balance of directed and independent study?
93%
high
Assessment and feedback
87%
high
Assessment and feedback
87%
high
How well have assessments allowed you to demonstrate what you have learned?
87%
med
How fair has the marking and assessment been on your course?
100%
high
How often does feedback help you to improve your work?
80%
high
How often have you received assessment feedback on time?
80%
med
How clear were the marking criteria used to assess your work?
87%
med
Academic support
87%
med
Academic support
87%
med
How easy was it to contact teaching staff when you needed to?
80%
low
How well have teaching staff supported your learning?
93%
high
Organisation and management
87%
med
Organisation and management
87%
med
How well were any changes to teaching on your course communicated?
93%
high
How well organised is your course?
80%
med
Learning resources
93%
high
Learning resources
93%
high
How well have the IT resources and facilities supported your learning?
93%
high
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
93%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
93%
med
Student voice
93%
high
Student voice
93%
high
How clear is it that students' feedback on the course is acted on?
87%
high
To what extent do you get the right opportunities to give feedback on your course?
100%
high
To what extent are students' opinions about the course valued by staff?
93%
high
How well does the students' union (association or guild) represent students' academic interests?
92%
high
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
100%
high
How well communicated was information about your university/college's mental wellbeing support services?
82%
med
Student information
The Artificial Intelligence course at University of Staffordshire 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.
Graduate prospects
What graduates do next
The Artificial Intelligence course includes content from more than one subject area. Choose an option below for information about University of Staffordshire graduates across each of those subject areas.
Graduate statistics
65%
Say it fits with future plans
50%
Are utilising studies
Graduate statistics
75%
In a job where degree was essential or beneficial
90%
In work, study or other activity
75%
Say it fits with future plans
62%
Are utilising studies
Top job areas
43%
Information Technology Professionals
10%
Web and Multimedia Design Professionals
8%
Science, engineering and technology associate professionals
7%
Elementary occupations
Graduate statistics percentages are determined 15 months after a student graduates
Earnings after graduation
The Artificial Intelligence course includes content from more than one subject area. Choose an option below for University of Staffordshire graduate earnings across each of those subject areas.
Earnings
£44.2k
First year after graduation
£42.5k
Third year after graduation
£40.2k
Fifth year after graduation
Earnings
£25.9k
First year after graduation
£30.3k
Third year after graduation
£33.9k
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 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
Discussions
Discussions
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Chat with University of Staffordshire
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Source: University of Staffordshire
