Kingston University campus

Engineering

BSc (Hons) Artificial Intelligence at Kingston University

Kingston University, United Kingdom

Programme overview

This course takes a unique, human-centred approach to AI, focusing on creativity, innovation, and machine-generated content rather than traditional applied methods. You will be prepared for roles in AI development, content creation, and AI-driven problem solving across diverse industries. This innovative programme is designed for students from any academic background who are eager to explore the transformative power of AI.

Department: Department of Computer Science  |  Duration: 3 years full time / 4 years full time including placement year  |  Study mode: full-time (optional professional placement year)  |  Intake: 2027  |  Location: Kingston upon Thames, England, United Kingdom

What you will study

This degree focuses on teaching you the principles, techniques, and applications of artificial intelligence. Unlike traditional AI, which often focuses on tasks like classification, prediction, and optimisation, this course is concerned with explainable AI and ethics, and social applications of AI. Year 1 - core modules: AI Fundamentals, AI-Powered Applications, Generative AI and Ethical Applications, Professional Environments 1. Year 2 - core modules: AI Application Fundamentals, AI Engineering and Prototyping, Data Management and Modelling, Professional Environments 2. Year 3 - core modules: AI Platforms and Projects, Applied AI Project, Data Modelling Futures, Digital Entrepreneurship, Future Skills Apply.

Career pathways

This degree is excellent preparation for a wide variety of careers and job roles, such as systems and business analysts, software engineers, programmers and network specialists. Here are some examples of the jobs you'll be ready for when you graduate: ; Social media manager / quantitative analyst ; AI innovation manager ; AI policy and regulations specialist ; Market analyst and ethicist / intelligence strategist ; AI engineer / generative AI engineer ; AI strategy lead / AI product engineer / GenAI lead in many industries.

Official programme page

Application information

Entry requirements

Entry 2027: BSc (Hons): 112-128 UCAS tariff points: At least two A-levels, or a BTEC Level 3 National: Distinction, Distinction, Merit (DDM) or equivalent Level 3 qualifications. Applications from those that have undertaken a foundation year in computing will also be considered. Entry onto this course does not require an interview, entrance test, audition or portfolio. English language: Academic IELTS of 6.0 overall, with no element below 5.5. UCAS codes: I400, I401.

Domestic applicants: GBP 10,050 a year (2027/28). Home (UK) full-time annual tuition fee for entry in 2027/28 Source

International applicants: GBP 19,200 a year (2026/27). International Year 1 fee for entry in 2026/27; later years: Year 2 (2027/28): £19,900, Year 3 (2028/29): £20,700, Year 4 (2029/30): £21,500 Source

Intake: 2027

Duration: 3 years full time / 4 years full time including placement year

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