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4 Years On Campus Bachelors Program
Queen Mary University of London
This four-year degree is perfect for students who are curious about how technology and AI are shaping our world. You’ll gain a strong foundation in computer science while exploring artificial intelligence, all while building practical skills through hands-on projects and real-world industry experience.
Curriculum Structure
Year 1: Foundations of Computing
In your first year, you’ll get to grips with the building blocks of computer science. Modules like Procedural Programming, Computer Systems and Networks, and Logic and Discrete Structures will teach you how computers work, how to code, and how to think logically—plus you’ll get introduced to professional practices in computing.
Year 2: Advanced Topics and Specialisation
The second year takes you deeper. You’ll explore Algorithms, Databases, Software Engineering, and Artificial Intelligence, giving you the chance to design more complex systems and understand how AI can solve real-world problems.
Year 3: Industrial Placement
This is your year to step into the real world. Through a paid industrial placement, you’ll apply what you’ve learned, gain valuable work experience, and start building professional connections that will help you after graduation.
Year 4: Final Year Project and Advanced AI
Your final year is all about showcasing your skills. You’ll tackle modules like Machine Learning, Robotics, and Ethics in AI, and complete a major project that demonstrates everything you’ve learned, preparing you to enter the tech industry confidently.
Focus Areas
Artificial Intelligence, Machine Learning, Robotics, Software Engineering, Professional Practice
Learning Outcomes
By the end of this degree, you’ll be confident in programming, designing software, understanding AI algorithms, and tackling the ethical challenges of modern technology—all while being ready for a professional career in tech.
Professional Alignment
The optional industrial placement gives you hands-on experience, boosting your employability and letting you apply academic knowledge in a real-world setting.
Reputation
Queen Mary University of London is known for its strong computer science programs and research. Its close links with industry mean graduates are well-prepared for the rapidly evolving tech landscape.
At Queen Mary, you won’t just be learning about computer science and AI from textbooks—you’ll be doing it. From day one, you’ll get hands-on experience with cutting-edge tools, software, and labs, working on real-world problems and preparing for a tech career straight out of university. The program is designed so you can explore, experiment, and apply what you learn in practical settings, from robotics to AI research to collaborative projects with your peers:
Informatics Teaching Laboratory (ITL) – A modern lab packed with high-performance computers and software where you can test code, run simulations, and get real programming experience.
Robotics Laboratory (ARQspace) – Build and experiment with robots, learn automation, and get practical exposure to AI-driven systems.
Centre for Multimodal AI – Work with machine learning tools to analyze audio, video, images, and text, gaining hands-on research experience.
Centre for Excellence in Artificial Intelligence in Education – Explore how AI can transform learning and teaching, with opportunities to try AI tools yourself.
Graduate Centre – A collaborative space with classrooms, labs, and social areas, fostering teamwork and creativity.
Industry Placement Year – Spend a full year in a company applying your skills on real projects, building your CV and professional network.
Collaborative Group Projects – Work in teams on challenging, real-world problems that mirror industry scenarios.
Access to Research Groups – Join groups like the Computer Vision Group and get involved in cutting-edge AI research alongside academics.
With these experiences, you’ll finish your degree not just with knowledge, but with confidence, practical skills, and a strong portfolio to show future employers.
Graduating from Queen Mary’s Computer Science and Artificial Intelligence program opens the door to an exciting range of careers in tech. You’ll leave with both the theoretical know-how and practical experience that employers value, ready for roles such as:
Software Developer/Engineer – Designing and building software for real-world applications.
Data Scientist – Using data to solve problems and make informed decisions.
AI Researcher – Pushing the boundaries of artificial intelligence through innovation.
Systems Architect – Planning and implementing complex IT systems.
To help you land your dream job, Queen Mary provides dedicated support and connections:
Careers and Enterprise Service – Expert advice on CVs, interviews, and job hunting.
Industry Placement Year – Gain a full year of hands-on experience in a real company, building both skills and professional networks.
Partnerships with Leading Employers – Opportunities to work with top tech companies on projects and internships.
BCS Accreditation – Partial fulfilment of the requirements to become a Chartered IT Professional, giving your career extra credibility.
The demand for AI and tech specialists is growing fast, and graduates from this program are well-positioned to secure rewarding roles with strong earning potential.
Further Academic Progression:
After completing your degree, you could continue your studies with a master’s in areas like Artificial Intelligence, Data Science, or Advanced Computer Science, deepening your expertise. For those interested in research, PhD programs are also a pathway to explore cutting-edge innovations and contribute to the field.
A-Level - AAA, including Mathematics, Computer Science, or Physics.IB – 36 points overall, including 6,6,6 from three Higher Level subjects, which must include Mathematics, Computer Science, or Physics (Mathematics: Applications and Interpretation or Mathematics: Analysis and Approaches at Higher Level accepted).GCSE – Minimum five passes, including English at grade C/4 and Mathematics at grade B/5.IELTS - minimum score 6.0 overall with 5.5 in each of Writing, Listening, Reading and SpeakingTOEFL - minimum score 79 overall with 17 in Writing, 18 in Reading, 17 in Listening and 20 in SpeakingIndia - National Board (CBSE/ISC) 85%, West Bengal Council of Higher Education 80%, Other boards 90%USA – Completion of the High School Diploma (HSD) with GPA 3.3, plus 3 AP exams with scores of 5,5,5 or 4 AP exams with scores of 5,5,4,4.Software DeveloperSoftware EngineerData ScientistAI ResearcherMachine Learning EngineerSystems ArchitectRobotics EngineerBusiness Intelligence AnalystCybersecurity AnalystCloud Solutions ArchitectIT ConsultantResearch Scientist in AIAI Ethics SpecialistTechnical Project Manager
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