BSc Artificial Intelligence and Data Science
About this course
BSc (Hons) in Artificial Intelligence and Data Science, a computer science degree centred on artificial intelligence and data science. Core topics include Programming, Computer Architecture, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. Students work in a specialised AI lab to build applied solutions individually and collaboratively. Year 0 focuses on foundational study skills and introductory technology concepts through modules such as Professional and Academic Skills for University Study, Applied Learning Project, and Foundations in Technology. Year 1 establishes core computing abilities via modules including Problem Solving and Programming, Mathematics for Computer Science, Computer Systems, and Software Engineering Fundamentals. Year 2 advances technical capabilities through modules like Relational Databases, Cloud Computing and Big Data, Introduction to Artificial Intelligence, and Data Structures and Algorithms. Year 3 concentrates on specialized applications and independent research through modules including Natural Language Processing, Media Technology, Modern Databases, Advanced AI and Applications, and Computing Project Dissertation.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A typical offer for the BSc Data Science and Artificial Intelligence degree is: BBC at A-Level or, DMM at BTEC/Cambridge Technical or, Merit at T Level Applicants will be expected to have achieved GCSE Mathematics (or equivalent) at grade C/4 or above. We welcome international applicants and applications from students with a range of non-traditional educational or professional qualifications, as well as applications from students with a mix of A levels and BTEC/Cambridge Technical qualifications. For information on how to apply to study AI and Data Science with us, please see our How to Apply page . Integrated Foundation Year (IFY) Entry Requirements: Admission to this foundation course is: DEE at A Level or, MPP at BTEC or, Pass (D or E) at T Level However, we would also like to hear from you if you have professional or industry experience instead, a range of other qualifications or self-developed subject knowledge that relates to the course you wish to study.
What students say
Based on about 95 final-year students who answered, across similar courses at this university
- Teaching on my course: 76%
- Learning opportunities: 77%
- Assessment and feedback: 77%
- Academic support: 80%
- Organisation and management: 76%
- Learning resources: 82%
- Student voice: 68%
Do students stay on the course?
Based on about 205 students who started, across similar courses at this university
- Continued on course: 80%
- Gained a higher qualification: 1%
- Left higher education: 18%
- Moved to a lower qualification: 1%
What graduates do next
Based on about 26 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 75%
- Working and studying: 5%
- Further study: 5%
- Unemployed: 10%
Most common jobs
- Information Technology Professionals: 35%
- Science, engineering and technology associate professionals: 15%
- Business and public service associate professionals: 10%
- Skilled trades occupations: 5%
- Elementary occupations: 5%
- Find their work meaningful: 65%
- Feel on track for their future plans: 70%
- Use what they learnt on the course: 60%
Where graduates work (5 years on)
Based on about 125 graduates, across similar courses at this university
- North East: 1%
- North West: 4%
- Yorkshire and the Humber: 4%
- East Midlands: 38%
- West Midlands: 10%
- East of England: 12%
- London: 17%
- South East: 12%
- South West: 2%
- Wales: 1%
- Northern Ireland: 1%
Who gets in
Based on about 15 students who started (a small group: a rough guide only)
- A levels: 95%
- Other HE qualification: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Professional and Academic Skills for University Study
- Applied Learning Project
- Foundations in Technology
- Problem Solving and Programming
- Mathematics for Computer Science
- Computer Systems
- Computer Communications
- Web Development
- Software Engineering Fundamentals
- Relational Databases
- Cloud Computing and Big Data
- Introduction to Artificial Intelligence
- Data Structures and Algorithms
- Group Project
- Web Programming
- Natural Language Processing
- Media Technology
- Modern Databases
- Advanced AI and Applications
- Computing Project Dissertation
Questions about this course
How much do graduates of BSc Artificial Intelligence and Data Science at University of Northampton earn?
The median salary is £29,500 after 15 months, £24,000 after 3 years, £31,000 after 5 years. After five years the middle half of graduates earn between £25,000 and £41,000. The £31,000 median after five years is £17,500 less than the UK median for Artificial intelligence.
What do graduates of BSc Artificial Intelligence and Data Science at University of Northampton do next?
85% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).
Are students happy with the teaching on BSc Artificial Intelligence and Data Science at University of Northampton?
76% 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 and Data Science at University of Northampton?
The typical offer is BBC at A level. The average entrant had 87 UCAS points.
How many students continue on BSc Artificial Intelligence and Data Science at University of Northampton?
80% of students continued into their second year, and 18% left higher education.