Undergraduate
2 years
BSc Computing with Artificial Intelligence (Top-up)
The BSc (Hons) Computing with AI Technology equips students with practical and theoretical skills in computing, artificial intelligence, machine learning, cloud technologies, and programming. The programme prepares graduates for careers in AI and related industries by combining academic knowledge with hands-on learning and industry-relevant assessment methods.

The BSc (Hons) Computing with AI Technology programme combines fundamental computing principles with cutting-edge artificial intelligence technologies, preparing students for careers in the rapidly evolving digital landscape. Throughout the course, you will develop knowledge in programming, software development, machine learning, cloud computing, data analysis, and intelligent systems while exploring how AI is transforming industries worldwide.
Designed for both aspiring computing professionals and experienced IT practitioners, the programme blends academic theory with practical application through hands-on projects and real-world scenarios. You will strengthen your technical, analytical, and problem-solving skills while learning to design, develop, and evaluate innovative AI-driven solutions.
Applicants may join the programme at Year 1, Year 2, or Year 3, depending on their previous qualifications and academic experience.
Year 1 Entry (Level 4)
Applicants should have:112 UCAS Tariff points from a recognised Level 3 qualification.
GCSE Mathematics and English Language at Grade 4/C or above, or an equivalent qualification.
Year 2 Entry (Level 5)
Applicants should have:A Higher National Certificate (HNC) or an equivalent Level 4 qualification in Computing, Information Technology, or a related subject.
Year 3 Entry (Level 6)
Applicants should have:A Higher National Diploma (HND) or Foundation Degree in Computing, Information Technology, or a related field.
Applicants holding a relevant computing or IT qualification alongside a DipHE, Level 5 Certificate, Diploma, NVQ, or another equivalent Level 5 qualification may also be considered for entry.
Software Engineer
Database Developer
AI Data Analyst
Information Security Professional
Business Analyst
AI Engineer
Machine Learning Engineer
Technologist – Artificial Intelligence, to name but a few
Modules
Year 1
Algorithms and Programming Fundamentals
Foundations of Computing Technology
Database Design and Implementation
Data Communications & Networks
Web Design and Development
Software Engineering Principles
Academic Language Skills for Computing and Technology
Year 2
Cloud Computing Technologies
Cyber Security
Systems and Processes in Business Context
Academic Language Skills (0 credits)
Developing Digital and Professional Competence
Contemporary Issues in Computing and Digital Technologies
London Campus UG Internship (optional)
London Campus UG Group Consultancy Project (optional)
London Campus UG Professional Practice (optional)
Year 3
Technology Strategy and Leadership for Sustainability
Academic Language Skills for Northumbria London Campus
UG Project (40 credits)
Programming for AI
Machine Learning on Cloud
Contemporary Issues and Technologies in AI
Location
Holborn - James House, 10 Rosebery Avenue, London, EC1R 4TF.
Middlesex Street - 110 -114 Middlesex Street, London, E1 7HT.
Fitzwilliam House - 10 St Mary Axe, London, EC3A 8BF. Birmingham - 5th Floor, Centre City, 5-7 Hill Street, B5 4UA.
Manchester - Saint James Buildings, 61-95 Oxford St, M1 6FQ
FAQs
No. All of our services are completely free. From your initial consultatioin through to application support and admission, we’ll guide you every step of the way at no cost.
Yes. We work with a range of recognised and respected higher education institutions, and the qualifications they offer are widely recognised both in the UK and internationally.
Our consultations are free and designed to help you find the right course for your goals. We'll discuss your interests, career ambitions, previous qualifications, and any relevant experience to recommend the most suitable study options for you.
Not necessarily. Many of our partner institutions offer flexible study options to suit different lifestyles. Depending on the course, you may be able to study during weekdays, evenings, weekends, online, or through a blend of in-person and independent learning. If you're working or have other commitments, our team can help you find a course that fits your schedule.










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