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4 Years On Campus Bachelors Program
Queen Mary University of LondonQueen Mary University of London’s BSc Computer Science and Artificial Intelligence with Year Abroad is a four-year program designed for students who are passionate about AI, machine learning, and software development. It combines a solid foundation in computer science with hands-on AI projects and a year abroad, giving you both the technical skills and global experience to thrive in today’s tech industry.
Curriculum Structure
Year 1
The first year focuses on building a strong foundation in computer science. You’ll study modules like Programming and Algorithms, Computer Systems, and Mathematical Methods for Computer Science, gaining essential coding skills, problem-solving techniques, and computational thinking that will support your future learning.
Year 2
In the second year, you’ll start exploring AI and software engineering in more depth. Modules such as Data Structures and Algorithms, Introduction to Artificial Intelligence, and Software Engineering help you apply theory to practical projects and work collaboratively in teams, preparing you for real-world tech challenges.
Year 3 (Year Abroad)
The third year is spent at a partner university abroad, offering an exciting opportunity to experience a different academic and cultural environment. This international exposure allows you to broaden your perspective, adapt to new ways of learning, and gain valuable global insights in computer science and AI.
Year 4
In your final year, you’ll tackle advanced topics like Machine Learning, Artificial Intelligence, and Software Development. A key highlight is the individual project, where you can explore areas that interest you most — from AI applications to computer graphics or distributed systems — showcasing your skills and creativity.
Focus Areas:
Artificial Intelligence, Machine Learning, Software Development, Data Structures, Algorithms, Global Exposure
Learning Outcomes:
Proficiency in programming languages, understanding of AI algorithms, ability to design and implement software systems, experience in international academic settings, and strong problem-solving and critical thinking skills
Professional Alignment (Accreditation):
The program is accredited by the British Computer Society (BCS), ensuring you graduate with professional recognition and a competitive edge in the computing industry
Reputation (Employability Rankings):
Queen Mary is known for producing highly employable graduates, with a strong record of research and teaching excellence, and graduates sought after by leading tech employers
At Queen Mary University of London, this program isn’t just about learning theory — it’s designed so you actually do computer science and AI. From day one, you’ll get hands-on experience with programming, software development, and AI projects, using modern tools and facilities that mirror what’s happening in the tech industry. Along the way, you’ll work in teams, tackle real-world challenges, and even spend a year abroad, gaining a global perspective that sets you apart. Here’s a closer look at the practical experiences you’ll benefit from:
Programming and Software Development – Build strong coding skills through practical exercises and projects using industry-standard tools.
AI and Machine Learning Projects – Apply machine learning algorithms and data analysis techniques to real-world problems.
Teamwork and Collaboration – Work on group projects that simulate professional software development environments.
Year Abroad Experience – Spend your third year at a partner university overseas, gaining international academic and cultural exposure.
Industry Connections – Collaborate on projects with industry partners, getting insight into current practices and challenges.
Research and Lab Facilities – Access Queen Mary’s computer science labs and research resources to support your projects and independent study.
Career Support – Benefit from guidance from the university’s career services to help prepare for jobs, internships, and professional growth.
Graduates of this program leave Queen Mary with the skills and confidence to step straight into exciting tech careers. With strong training in AI, machine learning, and software development — combined with hands-on projects and a year abroad — students are ready to make an impact in the fast-moving technology industry. Typical roles include:
AI Engineer
Machine Learning Specialist
Software Developer
Data Scientist
Many graduates go on to work for top employers like Google, IBM, Accenture, BBC, and J.P. Morgan, with an average starting salary around £38,669. The program’s British Computer Society (BCS) accreditation also gives students professional recognition, helping them stand out in competitive job markets.
How Queen Mary Supports Your Career:
The university provides excellent resources to help students secure internships, jobs, and work experience:
Specialist career advice and guidance on tech-focused roles
Help finding work placements, internships, and graduate positions
CV, cover letter, and application feedback
Interview coaching and preparation
Further Academic Progression:
For those wanting to continue their studies, there are excellent postgraduate pathways, including:
MSc in Artificial Intelligence
MSc in Advanced Computer Science
MSc in Robotics and Artificial Intelligence
These programs allow students to specialize further and dive deeper into research, keeping them at the forefront of technological developments.
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.AI EngineerMachine Learning SpecialistSoftware DeveloperData ScientistRobotics ProgrammerSystems AnalystBusiness Intelligence DeveloperCloud Solutions ArchitectResearch Scientist in AICybersecurity AnalystNatural Language Processing EngineerComputer Vision EngineerSoftware ConsultantIT Project ManagerData Engineer
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