BSc Artificial Intelligence
About this course
BSc (Hons) in Artificial Intelligence BSc (Hons), a computer science degree exploring the design, development and deployment of intelligent systems. Core topics include Programming, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Project Management, Human Behaviour, and Artificial Intelligence & Machine Learning. Students may undertake an optional industry placement year between the second and third years, and complete a final-year research project. The first year establishes fundamentals through Applications of AI and Prompt Engineering, Database Technologies, Foundations of AI, Human-Centred AI and Ethics, Mathematics for AI, and Software Development I. The second year progresses to Applied Deep Learning, Data Science Project Lifecycle, Game Theory and Reinforcement Learning, Practical Machine Learning, and Robotic Principles, with optional modules covering Data Engineering, Data Visualisation and Communication, and Game Engine Architecture. The final year involves Advanced Topics in Deep Learning, Applications of Large Language Models, AI Final Year Project, and Secure, Scalable AI and Cloud Computing, alongside optional choices such as Applied Robotics, Big Data Analytics, Business Innovation with Artificial Intelligence, and Game AI.
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Entry requirements
A Levels – BBC (112 UCAS Tariff points). T levels – 112 UCAS Tariff points. International Baccalaureate – 112 UCAS Tariff points from all components of the Diploma Programme. International Baccalaureate Career-related Programme will be considered on a case-by case basis. BTEC Extended Diploma – DMM. BTEC Diploma – D*D*. Access – 112 UCAS Tariff points from the Access course. In addition to one of the above, you should have: GCSE English Language grade 4/C – IB grade 4 Higher Level, GCSE Maths grade 4/C – IB grade 2, SL & HL - IB MYP 3. If your first language is not English, you will need an IELTS of 6.0 overall, with 5.5 in each component. We also welcome applications from students who are taking a combination of qualifications listed above. For further information, please contact Course Enquiries.
What students say
Based on about 141 final-year students who answered, across similar courses at this university
- Teaching on my course: 81%
- Learning opportunities: 81%
- Assessment and feedback: 76%
- Academic support: 84%
- Organisation and management: 83%
- Learning resources: 89%
- Student voice: 77%
Do students stay on the course?
Based on about 425 students who started, across similar courses at this university
- Continued on course: 78%
- Gained a higher qualification: 4%
- Left higher education: 14%
- Moved to a lower qualification: 4%
What graduates do next
Based on about 58 graduates who answered, across similar courses at this university
- Working: 67%
- Working and studying: 12%
- Further study: 3%
- Unemployed: 13%
Most common jobs
- Information Technology Professionals: 29%
- Sales occupations: 10%
- Elementary occupations: 9%
- Business and public service associate professionals: 9%
- Administrative occupations: 5%
- Find their work meaningful: 65%
- Feel on track for their future plans: 45%
- Use what they learnt on the course: 45%
Where graduates work (5 years on)
Based on about 360 graduates, across similar courses at this university
- North West: 1%
- Yorkshire and the Humber: 1%
- East Midlands: 1%
- West Midlands: 1%
- East of England: 5%
- London: 84%
- South East: 6%
- South West: 1%
Who gets in
Based on about 470 students who started, across similar courses at this university
- A levels: 90%
- Baccalaureate: 1%
- Access course: 3%
- Foundation course: 1%
- A degree: 1%
- Other HE qualification: 4%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Applications of AI and Prompt Engineering
- Database Technologies
- Foundations of AI
- Human-Centred AI and Ethics
- Mathematics for AI
- Software Development I
- Applied Deep Learning
- Data Science Project Lifecycle
- Game Theory and Reinforcement Learning
- Practical Machine Learning
- Robotic Principles
- Data Engineering
- Data Visualisation and Communication
- Game Engine Architecture
- Advanced Topics in Deep Learning
- Applications of Large Language Models
- AI Final Year Project
- Secure, Scalable AI and Cloud Computing
- Applied Robotics
- Big Data Analytics
- Business Innovation with Artificial Intelligence
- Game AI
Questions about this course
How much do graduates of BSc Artificial Intelligence at University of Westminster earn?
The median salary is £27,000 after 15 months, £29,500 after 3 years, £38,000 after 5 years. After five years the middle half of graduates earn between £29,000 and £53,500. The £38,000 median after five years is £2,000 more than the UK median for Computer science.
What do graduates of BSc Artificial Intelligence at University of Westminster do next?
82% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).
Are students happy with the teaching on BSc Artificial Intelligence at University of Westminster?
81% of final-year students were positive about the teaching in the National Student Survey 2024-25.
What grades do I need for BSc Artificial Intelligence at University of Westminster?
The typical offer is BBC at A level. The average entrant had 96 UCAS points.
Does BSc Artificial Intelligence at University of Westminster include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on BSc Artificial Intelligence at University of Westminster?
78% of students continued into their second year, and 14% left higher education.