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The BEng Computing at Imperial College London is a rigorous three-year program that blends theoretical foundations with hands-on engineering of computer systems. Ideal for students passionate about solving real-world problems through technology, this program equips you with expertise in hardware, software, and mathematical principles, preparing you to design next-generation computing applications
Imperial’s BEng Computing combines world-class research, industry connections, and a flexible curriculum. With a focus on real-world applicability and a vibrant London campus near tech hubs, this program is a launchpad for leadership in tech.
Curriculum Structure
Year 1:
Build a strong foundation with core modules like Introduction to Computer Systems and Databases, Discrete Mathematics, Logic and Reasoning, and Computing Practical 1, which combines programming labs with professional ethics projects. You’ll tackle algorithmic problem-solving and gain proficiency in multiple programming paradigms through structured coursework and group projects.
Year 2:
Deepen your knowledge with 9 core and 1 optional advanced modules such as Algorithm Design, Operating Systems, Probability and Statistics, Computational Techniques, and Networks and Communications. A Computing Group Project fosters teamwork, while optional modules like Symbolic Reasoning allow specialization. The curriculum emphasizes system design, performance analysis, and practical labs.
Year 3:
Focus on autonomy and innovation: Choose 6 from electives like Machine Learning, Computer Vision, Custom Computing, Operations Research, Graphics, etc. and undertake a year-long Individual Project which offers a chance to explore cutting-edge research or industry-aligned challenges under faculty supervision. The I-Explore module broadens horizons with interdisciplinary subjects.
Assessment Methods
Year 1: 84% exams, 10% coursework (e.g., programming tests), 6% practicals.
Year 2: 57% exams, 33% practicals (e.g., group projects), 10% coursework.
Year 3: 50% practicals (individual project), 42% exams, 8% coursework.
Key Features
Focus Areas: Software engineering, systems design, AI, and theoretical computing.
Professional Alignment: Accredited by BCS and IET, meeting standards for Chartered IT Professional and Incorporated Engineer status.
Reputation: Imperial ranks #2 globally (QS 2025) and boasts a 19:1 applicant-to-place ratio, reflecting its prestige.
Employability: Graduates earn a median salary of £65,000 within 15 months, with 97% in high-skilled roles like IT professionals.
At Imperial College London, you won’t just study computing, you’ll engineer solutions from day one. Our BEng program immerses you in real-world problem-solving through structured labs, industry collaborations, and cutting-edge facilities. You’ll work with the same tools professionals use, from AI development suites to hardware prototyping systems, while tackling projects that grow in complexity each year. By graduation, you’ll have built a portfolio of functional systems and not just theoretical concepts.
Here’s how we make it happen:
Transition Seamlessly from Classrooms to Careers
Our grads average £60,000 starting salaries, one of the highest in the UK, thanks to this rigorous applied approach. You’ll design compilers, optimize networks, or even publish AI research, all before graduation.
Graduates from Imperial’s BEng Computing program are highly sought after, with many securing roles at top tech firms, financial institutions, and innovative startups. The program’s rigorous curriculum and strong industry ties ensure students develop the skills needed to thrive in fast-evolving tech fields.
Typical Career Paths:
Progression & Future Opportunities:
University services that support employmentImperial’s Careers Service offers 1:1 advice, tech employer fairs (e.g., Tech Careers Week), and exclusive internship portals like Imperial JobsLive.
Employment Statistics: 95% of Computing graduates are employed or in further study within 6 months (2022 Graduate Outcomes). Starting salaries average £50,000+ (with top earners exceeding £70,000 in sectors like fintech).
University–industry partnerships
Strong ties with Silicon Roundabout firms, IBM’s AI Research Hub, and Imperial’s Tech Incubator (student startups receive funding and mentorship).
Long-term accreditation & reputation
Imperials Computing program is accredited by BCS (Chartered Institute for IT), boosting credibility for Chartered IT Professional status.
Graduation outcomes
Alumni work at companies including NASA, Tesla, and Goldman Sachs, with many founding startups (e.g., Darktrace).
Further Academic Progression
After your BEng, you could:
Pursue Imperial’s MEng Computing (integrated master’s) or specialize with an MSc in AI, Cybersecurity, or Data Science.
Join a PhD program (Imperial ranks #1 in the UK for research impact in Computing).
Earn industry certifications (e.g., AWS, Cisco, or Google Cloud) via Imperial’s partnerships.
UCAS Application • Official High School Transcripts • Personal Statement • Educational Resume • Letter of Recommendation by School TeacherA-levels: A*A*A including A* in Mathematics • A*, A in two further subjects or AAA in three further subjects, with Further Mathematics preferred • Typical offer: A*A*A* (applicants studying three A-levels) & A*A*AA (applicants studying four A-levels)International Baccalaureate (IB): 41 points (To include: 7 in Mathematics at higher level, 7 in another relevant subject at higher level) • Typical offer: 42 pointsCBSE / CISCE Boards: 92% overall (To include: 95% in Mathematics, 95% / 90% in two other subjects)IELTS: Standard- 6.5 overall (minimum 6.0 in all elements), Higher- 7.0 overall (minimum 6.5 in all elements) TOEFL (iBT): Standard- 92 overall (minimum 20 in all elements), Higher- 100 overall (minimum 22 in all elements)Admission Test: Test for Mathematics for University Admission (TMUA). Test Dates: 13 & 14 October 2025 and 8 & 9 January 2026Shortlisted candidates may be interviewed Software EngineerData EngineerAI EngineerCloud EngineerCybersecurity AnalystSystems ArchitectDevOps EngineerEmbedded Systems EngineerMachine Learning EngineerNetwork EngineerRobotics EngineerFull-Stack DeveloperDatabase AdministratorIT ConsultantResearch Scientist
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Imperial College London
