James Xue
Senior Lecturer - Computing
level:UG;top_up:false;international:true;foundation:true;clearing:false;full_time:true;part_time:true;start_month:September;location:Waterside
Artificial Intelligence and Data Science BSc (Hons)
Key Facts
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UCAS Code
BSc: I260
BSc with Foundation: I261 -
Duration
Full Time: 3 years
Full Time Foundation: 4 years
Part Time: 4 - 6 years
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BBC at A-Level or,
DMM at BTEC -
Full Time: £9,535
Part Time: £1,585 (per 20 credits)
Integrated Foundation Year: £9,535
Updated 03/12/2025
Updated 03/12/2025
Get in touch
UK STUDENTS ENQUIRIES
study@northampton.ac.uk
0300 303 2772
INTERNATIONAL STUDENTS ENQUIRIES
Artificial intelligence and data science have a pivotal role in driving a new era of innovation in many fields. This includes computer science, public health, manufacturing, transportation, and many other areas. The BSc Artificial Intelligence and Data Science course at the University of Northampton equips students with degree-level research, design, and programming skills. Graduates in artificial intelligence and data science can then apply these concepts and techniques in the context of real-world industrial and business scenarios. Using a state-of-the-art AI lab, students develop and deploy applied AI solutions individually and as part of a team.
For Career after 15 months for Computer Science and Information Systems
Guardian data taken from the 2026 Computer Science and Information Systems subject table filtered by Career after 15 months.
Amazon Web Services (AWS) Academy
As a member of Amazon Web Services Academy, this Data Science and AI degree includes AWS accredited cloud computing courses to prepare students for industry-recognised certifications and the most in-demand careers in the cloud industry.
Highlights
- Progression data science courses available on modern AI and machine learning
- The BSc Artificial Intelligence degree is a member of Amazon Web Services (AWS) Academy
- Emphasis on practical learning to help you develop your strength in the design and development of ethical and responsive AI solutions
- A state-of-the-art AI lab for teaching and learning
- Student Support Initiative
- HP laptop and software included with this artificial intelligence degree course for eligible students* (*see Eligibility criteria and Terms and Conditions)
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.
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.
All International and EU students applying for a course with us must meet the following minimum English language requirements:
- IELTS 6.0 (or equivalent) with a minimum of 5.5 in all bands
for study at undergraduate level.
For information regarding English language requirements at the University, please see our IELTS page.
What You'll Learn
This data science and artificial intelligence degree will equip you with a range of knowledge and practical skills required to establish your career. They can aid many career paths, such as a machine learning software engineer, solution architect, project manager or AI research scientist. You will learn the fundamentals and applications of data science and machine learning progressively over the course period.
During your first year of this AI and Data Science programme, you will study common computer science modules which give you the foundation and flexibility to specialise in your second and third years. Additionally, you’ll study a specialised module that is tailored for artificial intelligence and data science programme students.
This purpose of this module is to: introduce students to the skills, principles and concepts necessary to solve problems in computing; to develop essential skills to enable the solution of these problems with the construction of appropriate algorithms and a computer program; introduce principles underlying the design of a high level programming language (HLPL); gain experience and confidence in the use of a HLPL to implement algorithms; implement HLPL programs using an appropriate programming language e.gJava; introduce an object-oriented language initially as a non-object language.
This module introduces a set of mathematical topics, which include binary number system, logic circuits, linear systems, graph theory, probability and statistics, that are widely studied by those learning computing sciencesThe module equips students with fundamental mathematical skills which underpin a range of computing disciplines.
This module provides knowledge of the hardware and software components that make up a computer system and overview the important concepts in preparation for future study of computer science.
This module develops student s understanding of the principles of communication networks and how to classify the various network devices in the appropriate layer of the protocol stackStudents will learn how to manage IP addresses in a small network and will develop confidence in using network simulation software.
This purpose of this module is to give students an understanding of client side web technologiesThis module provides students with: the essential knowledge and practical skills to design, develop and implement a Web site to contemporary web standard
The purpose of this module is to develop student’s experience with the multiple stages of software engineering life-cycles from initial need and requirements identification through to the design and implementation of code in order to develop confidence in the use of terminology and techniques for each of the stages.
Please note the modules shown here relate to the academic year 25/26. The modules relating to the academic year 26/27 will be available from June 2026.
At the University of Northampton, everything we do, from funded trips to paid internships, is to give you everything you need to make a difference when you leave.
If you join this full time BSc in Artificial Intelligence and Data Science degree at the University of Northampton, you will receive a laptop when your course begins*. The laptops are built to a bespoke custom specification ideal for use in the seminar room, collaborative group work or studying at home.
Whatever your ambitions, we’re here to help you to achieve them. We’ll support you to identify the skills you’re learning during your course, find your strengths and secure practical experience so that when it comes to applying for jobs or further study you’ll feel confident in standing out from the crowd. We’ve created the Northampton Employment Promise because we are so confident that if you focus on your studies and complete one of our awards you’ll be highly employable by the time you graduate. Putting you in a great position to secure employment or continue your studies.
To check out the full list of perks, visit our Student Perks page or dedicated International Perks page.
*UK fee payers only (see Terms and Conditions for further details).
The Integrated Foundation Year (IFY) offers a new and exciting route into studying for a degree, attracting ambitious and driven students who are willing to learn and advance.
If you have non-standard qualifications or do not quite meet the admissions requirements we can offer you a fantastic opportunity to study a four year programme which includes an Integrated Foundation Year. The Integrated Foundation Year will help you develop the theoretical/practical and academic skills you need, in order to successfully progress to the full award.
Our four-year courses will enable you to successfully follow the degree pathway of your choice while gaining essential study skills. The foundation year of your chosen degree will be studied on a full-time basis and is aimed at supporting the transition to higher education. Years two, three and four are then studied as a standard degree programme.
The Computing Society aims to bring together students interested in computing. The society provides insight into the industry by allowing its members the opportunity to network with potential clients and employers. Students also have the opportunity to join the world’s largest professional body at discount rates and join the UON IEEE Student Branch. Joining this branch will enable you to get in contact with students from other academic institutes worldwide.
How will I learn on this Artificial Intelligence and Data Science degree?
While theories are important for AI solutions, we emphasise practical learning on our BSc Artificial Intelligence and Data Science course. You will be taught through a variety of activities and problem-solving challenges, so that you can apply your theoretical knowledge creatively. Being able to analyse problems, implement data science methods, research solutions, and apply them in new ways are highly valued in the computing industry. Armed with these tools, you will be able to use them throughout your career to drive the industry forward.
You will have access to a dedicated AI lab with state-of-the-art equipment and software for learning. You will receive a laptop (Terms and Conditions apply) to work on your coursework flexibly.
How will I be assessed?
The AI and Data Science degree uses a range of assessment methods including assignments, portfolios, project reports, and video recordings. This comprehensive testing enables students to demonstrate their strengths in knowledge-based skills.
Fees and Funding
2025/26 Tuition Fees
- UK – Full Time: £9,535
- UK – Part Time: £1,585 (per 20 credits)
- UK – Integrated Foundation Year: £9,535
- International – Full Time: £15,700
- International – Integrated Foundation Year: £15,700
Fees quoted relate to study in the Academic Year 2025/26 only and may be subject to inflationary increases in future years. UON will adjust UK fees annually in line with Government Policy.
For information on the scholarships available to you, please see our scholarships page.
For more information about possible funding options, please visit our Fees and Funding pages.
There are no additional costs for this course for students beginning their studies in September 2025. Should this change, applicants and students will be contacted by the university with details of the costs.
Fees quoted for the AI university degree relate to study in the Academic Year 24/25 only and may be subject to inflationary increases in future years.
- UK – Full Time: £9,250
- UK – Part Time: £1,540 per 20 credit module
- UK – Integrated Foundation Year: £9,250
- International – Full Time: £15,200
- International – Integrated Foundation Year: £15,200
For information on the scholarships available to you, please see our scholarships page.
For more information about possible funding options, please visit our Fees and Funding pages.
Staff
Mu Mu
Professor of Human-Centred Data Intelligence
Careers and Employability
The BSc Artificial Intelligence and Data Science course will help you acquire a range of specialised and general computing skills. These skills will help you establish your career as a machine learning software engineer, solution architect, project manager or AI research scientist.
Master’s Opportunities
Our Master’s courses are a great way to enhance the skills you have already learnt. Benefit from our 20% alumni discount on postgraduate fees to give you a CV that will catch the eye of employers.
Facilities
On the University of Northampton’s BSc Artificial Intelligence & Data Science course, students can benefit from use of a state-of-the-art AI lab with specialised computing equipment to support the design, development, and testing of AI applications.
