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3 Years On Campus Bachelors Program
Kingston University LondonKingston University's BSc (Hons) in Computer Science and Artificial Intelligence is perfect for students who are passionate about technology and curious about how AI is shaping the world. The course blends theory with hands-on practice, giving you the skills to create innovative tech solutions and thrive in a fast-paced digital environment.
Curriculum Structure:
Year 1:
In your first year, you’ll build a solid grounding in computer science. You’ll explore how computer systems work, learn essential programming skills, and understand how technology impacts society. Modules like Computer Systems, Programming Fundamentals, and Professional Skills for Computing will give you the toolkit to succeed in more advanced studies.
Year 2:
The second year dives deeper into the core of computing and AI. You’ll tackle Data Structures and Algorithms, understand the ethics behind AI and technology through Ethics in Computing, and start applying your knowledge in real-world scenarios with Software Engineering. This year is all about connecting theory to practical solutions.
Year 3:
In your final year, you’ll focus on advanced AI topics such as Machine Learning, Neural Networks, and designing intelligent systems. You’ll also complete a major project where you’ll bring together everything you’ve learned to solve a real-world problem, preparing you for a professional career in AI and computing.
Focus Areas: Artificial Intelligence, Machine Learning, Software Development, Data Analysis, Ethical Computing
Learning Outcomes: Gain strong programming skills, understand AI principles, design and evaluate AI systems, navigate ethical challenges in tech, and solve complex problems effectively.
Professional Alignment: Accredited by the British Computer Society (BCS), giving you confidence that your degree meets industry standards and opens doors to professional roles.
Reputation: Kingston University is ranked among the top five in London for Computer Science and Information Systems (The Guardian University Guide 2024), demonstrating its strong reputation for quality teaching and employability.
At Kingston University, learning goes far beyond lectures and textbooks. On the Computer Science and Artificial Intelligence BSc (Hons), you’ll get plenty of hands-on experience, working on real projects and using industry-standard tools that prepare you for the world of AI and computing. You’ll have the chance to experiment, collaborate, and develop practical skills in purpose-built spaces and cutting-edge labs, giving your studies a real-world edge:
High-Performance Computing (HPC) Facility – Run complex simulations and large-scale data analysis with advanced computing resources.
NoobLab Environment – A welcoming space to explore programming in a fun and accessible way.
AR and VR Technologies – Dive into immersive learning experiences with augmented and virtual reality tools.
Cisco Networking Software (IOS) – Practice with industry-standard networking tools used by professionals worldwide.
NS-3 and MATLAB – Simulate and analyze wireless and multimedia networks for practical projects.
Embedded Systems Platforms – Design, test, and experiment with embedded systems in a hands-on setting.
High-Spec Workstations – Dual large-screen setups and powerful PCs for multitasking, game development, and AI model training.
Integrated Development Environments (IDEs) – Work with the latest software development tools across multiple programming languages.
Professional Placement Opportunities – Gain real industry experience and apply your skills in workplace settings.
With these facilities and experiences, you’ll leave Kingston confident in your ability to tackle real-world computing challenges and ready for a career in AI or software development.
Graduating from Kingston University’s Computer Science and Artificial Intelligence BSc (Hons) opens the door to a wide range of exciting careers in tech. With strong skills in AI, machine learning, and software development, you could step straight into roles like AI Developer, Software Engineer, Data Analyst, or Machine Learning Engineer. Kingston ensures you’re not just ready for a job but for a thriving career, thanks to its practical approach and industry connections:
Employability Support – Kingston’s Careers and Employability Service helps you with CV building, interview prep, networking events, and job opportunities specifically tailored to computing and AI students.
Industry Partnerships – Work with leading tech companies and research institutions through internships, collaborative projects, and networking events that can lead directly to employment.
Professional Accreditation – The program is accredited by the British Computer Society (BCS), giving your degree long-term value and recognition in the computing industry.
Graduate Outcomes – Many graduates secure relevant roles within six months of finishing, reflecting the program’s strong employability record and practical focus.
Further Academic Progression:
If you want to take your studies even further, Kingston offers postgraduate options like the Artificial Intelligence MSc or Data Science MSc. These programs build on your undergraduate learning, letting you specialize in advanced AI and data science, and positioning you for more senior or research-focused roles in the tech industry.
A-level - BBC-ABB Equivalent to112-128 UCAS tariff points (Computing, Science, Engineering or Mathematics)IB - 28-32 Equivalent to 112-128 UCAS tariff points IELTS of 6.0 overall, with no element below 5.5.TOEFL iBT Special Home Edition - Overall Score of 80, with a minimum of Reading 18, Listening17, Speaking 20, Writing 17India – Standard XII / Higher Secondary School Certificate: Minimum 70% for CBSE, ISC (CISCE), and Maharashtra Board HSC/HSSC; minimum 80% for other state boards.India – English Language Proficiency: Standard XII from CBSE, ISC (CISCE), or Maharashtra Board HSC/HSSC: 70% corresponds to IELTS 6.0 from other state boards (excluding Punjab, Haryana, Gujarat): 80% corresponds to IELTS 6.0.USA – High School / Secondary School Diploma: Minimum GPA 3.0 plus one of the following in Science, Engineering, or Computing: Grade 3+ in at least two AP tests, or SAT Subject Test 550+, or Honours/college credits with grade B; in some cases, ACT 26+ may be considered.Entry onto this course does not require an interview, entrance test, audition or portfolio.Duration 3 years or 4 years with foundation or placement yearAI DeveloperSoftware EngineerData AnalystMachine Learning EngineerRobotics ProgrammerSystems AnalystData ScientistSoftware TesterNetwork EngineerResearch Scientist (AI/Computing)Business Intelligence AnalystCybersecurity AnalystAI Solutions Architectand IT Consultant
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