BSc (Hons) Computing (Artificial Intelligence and Robotics)

2 Year On Campus Bachelors Program

University of Buckingham

Program Overview

Step into the future of intelligent technology with Buckingham’s BSc (Hons) Computing (Artificial Intelligence and Robotics). This fast-track two-year degree is perfect for students who love coding, problem-solving, and discovering how AI and robotics can transform the world. You’ll gain the hands-on skills to design smart systems, intelligent robots, and innovative digital solutions that meet real industry needs.

Curriculum Structure

Year 1 – Building your foundation
Your first year gives you a strong grounding in computing and programming. You’ll explore modules like Introduction to Computer Systems, Operating Systems, Mathematics for Computing, and Problem Solving and Programming 1 & 2. You’ll also develop your professional and teamwork skills through Skills and Professional Development. By the end of this year, you’ll have the essential technical knowledge to start creating real applications and systems.

Year 2 – Diving into Artificial Intelligence and Robotics
In your second year, you’ll deepen your expertise in intelligent computing. You’ll study Fundamentals of Artificial Intelligence, Object-Oriented Programming, Principles of Database Systems, and can choose between Cyber Security and Cryptography or Mobile Application Development. These subjects prepare you to work on advanced AI and software engineering projects, combining creativity with real-world technical practice.

Final Term – Applying your expertise
The final phase brings everything together with practical, high-impact learning. You’ll tackle advanced modules like Cloud Computing, Computer Vision and Machine Learning, and Robotics, alongside an in-depth Project and Grand Challenge Project. Working individually and in teams, you’ll design and build intelligent systems or robotic prototypes—just like you would in the tech industry.

Focus areas: Artificial intelligence, robotics, machine learning, software engineering, autonomous systems, cloud computing, data and vision technologies.

Learning outcomes: Graduates leave ready to design, develop, and deploy intelligent software and robotic systems, lead collaborative tech projects, apply AI ethically and responsibly, and adapt quickly to emerging technologies across sectors.

Professional alignment (accreditation):
Accredited by the British Computer Society (BCS), this degree fully meets the academic requirements for registration as a Chartered IT Professional (CITP) and meets the requirements for Incorporated Engineer (IEng) status through the Engineering Council.

Reputation (employability rankings):
The University of Buckingham is renowned for its small-group, personalised teaching and strong industry connections. Graduates from Buckingham’s computing programs have gone on to work with top global employers such as Amazon, Adobe, Google DeepMind, and Microsoft—proof of the program’s real-world value and employability focus.

Experiential Learning (Research, Projects, Internships etc.)

At Buckingham, you won’t just study AI and robotics—you’ll live it. From your very first week, you’ll spend time in high-tech labs, programming real robots, exploring machine learning tools, and testing your ideas in immersive environments. The program is designed for hands-on learning, so you’ll constantly apply what you learn through projects, teamwork, and supervised research. Small class sizes mean you get one-on-one guidance from expert lecturers who know your name and your goals.

You’ll also have access to the University’s impressive £3.2 million investment in computing, AI, robotics, and cyber security—ensuring you’re working with cutting-edge technology every step of the way. From real-world simulations to innovative group challenges, every module prepares you for the demands of modern tech careers:

Specialist Robotics Labs: Work with ground robots, collaborative robotic arms, lidar sensors, and imaging systems designed for AI and autonomous experiments.
Immersive Technology Suite: Use next-generation equipment like the Birdly flight simulator, Microsoft HoloLens 2, and Varjo XR3 mixed-reality headsets to explore human–machine interaction.
Grand Challenge Project: Collaborate with your peers to tackle real-world AI and robotics challenges—designing, building, and testing solutions that mimic industry projects.
Individual Final-Year Project: Develop a professional-level AI or robotics system with close academic supervision, showcasing your skills to future employers.
Practical Workshops & Labs: Learn through 2–3 hour computer lab sessions that turn theory into working prototypes and functioning code.
Career Development Support: Access the University’s Careers & Employability Service and professional development portfolio, connecting you with tech employers and helping you build a strong industry profile.

Progression & Future Opportunities

Graduates from this programme step confidently into some of the most exciting and fast-growing areas in technology. With expertise in software development, machine learning, and robotics, you’ll be ready for roles that blend creativity with innovation—whether you want to build intelligent systems, automate industries, or design the next generation of smart technologies. Typical career paths include AI Engineer, Robotics Engineer, Machine Learning Specialist, and Software Developer.

Your degree at Buckingham doesn’t just prepare you academically—it connects you with real opportunities and a strong professional network:

Dedicated employability support: The University’s Careers & Employability Service helps you refine your CV, develop interview skills, and connect with top employers through workshops, career fairs, and one-on-one guidance.
Strong graduate outcomes: 95% of Buckingham computing graduates find their work meaningful, and 85% say it aligns with their long-term goals (Discover Uni, 2025).
Global industry links: Buckingham graduates have gone on to work with leading companies such as Adobe, Amazon, Arm, BAE Systems, BT, Google DeepMind, IBM, Meta, Microsoft, PwC, and Salesforce.
Accredited for professional success: The degree is accredited by the British Computer Society (BCS), meeting the academic requirements for Chartered IT Professional (CITP) and Incorporated Engineer (IEng) status through the Engineering Council, ensuring your qualification carries long-term global value.
Career-ready experience: Small-group teaching, practical projects, and industry-focused modules mean you’ll graduate with real-world skills that employers recognise immediately.

Further Academic Progression:
After completing your degree, you can continue your studies with a master’s in Artificial Intelligence, Robotics, Data Science, or Software Engineering. For those interested in research or academia, Buckingham also offers opportunities to pursue an MRes or PhD—ideal for developing new AI algorithms or robotic technologies.