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3 Years On Campus Bachelors Program
Queen Mary University of London
The BSc (Hons) Computer Science and Artificial Intelligence at Queen Mary University of London blends core computer science skills with cutting-edge AI knowledge. It’s perfect for curious, tech-savvy students who want to create intelligent systems, solve real-world problems, and be at the forefront of innovation.
Curriculum Structure
Year 1: Building the Foundations
In your first year, you’ll get a solid grounding in both computing and mathematics. You’ll study modules like Programming for Computer Science, Discrete Mathematics, Computer Systems and Networks, and Data Structures and Algorithms. These courses give you the core skills you’ll need for everything that comes next.
Year 2: Diving into AI and Software Development
The second year introduces you to artificial intelligence and the essentials of software engineering. Modules such as Artificial Intelligence, Software Engineering, Database Systems, and Computer Architecture will help you understand machine learning, system design, and how to develop robust software. You’ll also get hands-on experience through practical projects.
Year 3: Advanced AI and Your Own Project
In your final year, you’ll tackle advanced AI topics and complete an independent project. You could study Advanced Machine Learning, Natural Language Processing, Computer Vision, and AI Ethics and Society. Your project will give you the chance to explore a real-world problem and showcase your creativity and expertise.
Focus Areas
Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Software Engineering, Data Structures, Algorithms, AI Ethics
Learning Outcomes
By the end of this degree, you’ll be confident in programming, designing intelligent systems, analyzing data, and thinking critically about the ethical impact of AI technologies.
Professional Alignment
This program is designed with industry standards in mind, preparing you for careers in AI development, software engineering, and data science. You’ll graduate ready to meet the demands of the fast-moving tech sector.
Reputation
Queen Mary University of London is part of the Russell Group, representing top UK universities renowned for research and teaching excellence. With strong industry links and a focus on employability, graduates leave well-prepared for successful careers in computer science and AI.
At Queen Mary, studying Computer Science and Artificial Intelligence isn’t just about lectures and exams — it’s about getting hands-on experience that prepares you for real-world careers. From day one, you’ll be working on practical projects, collaborating in teams, and using industry-standard tools and facilities to bring your ideas to life. The program also offers opportunities to engage with the tech industry, take part in research, and gain insights that go beyond the classroom.
Some of the ways you’ll gain practical experience include:
State-of-the-art labs: Work in the Informatics Teaching Lab (ITL), a modern space designed for computing and AI projects.
24/7 computing access: Use the university’s computers and software remotely, anytime you need to work on assignments or projects.
Industrial placements: Take the option to spend a year in industry, applying your skills in a real workplace.
Collaborative projects: Team up with other students on projects that mirror real-life industry challenges.
Internships: Gain practical experience through programs like the Learner Interns Programme, exploring AI in real applications.
Research opportunities: Get involved in cutting-edge AI research, including areas like healthcare AI and digital twins.
Industry events and workshops: Meet professionals, learn from experts, and build connections that can help your career.
Career support services: Receive guidance on job applications, interviews, and developing skills that employers value.
With these experiences, you’ll graduate not only with strong theoretical knowledge but also with practical skills, confidence, and industry readiness to launch your career in AI and computer science.
Graduates from the Computer Science and Artificial Intelligence BSc at Queen Mary leave ready to jump straight into exciting tech careers. With strong skills in AI, machine learning, and software development, alumni often find themselves working as:
Machine Learning Engineers
Data Scientists
Software Developers
AI Researchers
To support your career journey, the university provides a wide range of services and opportunities:
Dedicated Career Support – Help with job applications, CVs, interviews, and planning your career path.
Industry Partnerships – Connections with leading tech companies for internships, placements, and real-world projects.
Graduate Outcomes – Around 93% of graduates are employed or in further study within 15 months, with an average starting salary of £34,500.
Professional Accreditation – The program is accredited by the Institution of Engineering and Technology (IET), boosting the value of your degree in the professional world.
Further Academic Progression:
After completing your BSc, there are plenty of ways to continue your studies and specialize further:
MSc in Artificial Intelligence – Deepen your understanding of AI and its real-world applications.
MSc in Advanced Computer Science – Focus on advanced areas like software engineering or data systems.
PhD Opportunities – For those interested in research, Queen Mary offers pathways to pursue a PhD in AI or related fields.
These options mean you can keep building expertise, take on more challenging roles, or even contribute to cutting-edge research in AI and computer science.
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.Machine Learning EngineerData ScientistSoftware DeveloperAI ResearcherRobotics EngineerComputer Vision EngineerNatural Language Processing SpecialistAI ConsultantSystems AnalystData EngineerSoftware EngineerResearch Scientist in AICybersecurity Analystand AI Product Manager
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