MSc Advanced Computing

This MSc programme is designed to transform you into a future leader in the computing industry through a curriculum that is deeply rooted in practical, research-led experimentation and innovation. You will have access to world-class facilities within the Department of Computing, including specialised laboratories for artificial intelligence, quantum computing, and cybersecurity, all equipped with high-performance computing clusters and cutting-edge hardware. Your learning is powered by the latest industry-standard tools and software frameworks, and you will undertake substantial individual and group projects that address real-world, complex computing challenges, often in collaboration with our industry partners and pioneering research groups.

Here’s how you will gain advanced, hands-on experience:

• Specialised Software & Tools: You will gain deep proficiency in a suite of advanced tools, including TensorFlow and PyTorch for machine learning, AWS and Google Cloud Platform for large-scale distributed computing, and specialised environments for quantum computing simulation.

• The MSc Individual Project: The cornerstone of the programme is a six-month research and development project, often undertaken with one of our industry partners or research groups, allowing you to apply your learning to a substantial, real-world problem in depth.

• AI and Machine Learning Lab: You will conduct experiments in our dedicated AI lab, utilising high-performance GPUs and computing clusters to train and test sophisticated models on large-scale datasets.

• Cybersecurity Lab: You will work in our secure isolation lab to practically test system vulnerabilities, develop defences, and analyse malware in a controlled, ethical environment.

• Graphics and Vision Laboratory: You will use our motion capture systems and VR equipment to work on projects in computer vision, virtual reality, and advanced graphics.

• Data Science Studio: You will have access to dedicated spaces and computational resources for working with massive datasets, honing your skills in data wrangling, analysis, and visualization.

• Industry Collaboration: Many projects and seminars are conducted in conjunction with our industry partners, which include leading tech giants and innovative startups, providing invaluable networking and insight into current commercial challenges.

• Research-Led Learning: Your practical work is directly informed by the pioneering research conducted within the department, giving you exposure to the very latest advancements in fields like deep learning, security, and quantum computation.

Graduates of Imperial’s MSc Advanced Computing often step into roles such as AI researcher, data scientist, or software engineer at leading global firms like Google, DeepMind, Amazon, Microsoft, and Facebook—or continue their journey toward doctoral research. Significantly, 100% of UK-resident computer science graduates are employed or pursuing further study within 15 months of graduation, most entering highly skilled roles.

Progression & Future Opportunities:
Here’s how Imperial arms you for long-term success in computing:

• University Services to Boost Employability

  • The Graduate School’s MasterClass professional skills suite offers workshops in communication, leadership, and networking that you can access alongside your modules.

  • Throughout the year, leading tech companies deliver guest lectures on applications of computing—covering topics such as AI, machine learning, data science, and software engineering.

• Employment Stats & Salary Figures

  • Discover Uni reports that 100% of graduates from this discipline go on to work or study within 15 months.

  • Nearly 97% of those employed are in highly skilled roles, including IT professionals and managers.

  • Imperial graduates across computing enjoy median earnings of £65,000 after 15 months—which rise modestly over time to £78,500 by year five.

• University–Industry Partnerships

  • The Department of Computing regularly hosts major tech firms—including Google, Facebook, Amazon, Microsoft, IBM—for presentations, recruitment sessions, and networking.

  • You’ll benefit from research centre links like the Dyson Robotics Lab, Data Science Institute, and Hamlyn Centre—enabling hands-on collaboration and exposure to cutting-edge innovation.

• Long-Term Accreditation Value

  • The programme is designed to prepare graduates for both industry and research careers—though not formally accredited under professional engineering bodies, it provides deep technical mastery and prestige that carry exceptional weight in the computing field.

• Graduation Outcomes

  • By graduation, you’ll have developed mastery in cutting-edge computing domains—ranging from quantum computing and blockchain to AI and formal program analysis—supported by a recognized Imperial degree and extensive industry exposure.

  • Equipped with both technical depth and professional readiness, you’re positioned for advanced roles in software development, AI/ML, data analysis, or further doctoral study.

Further Academic Progression:
After completing this MSc, many students progress to PhD research—often within Imperial or leading global institutions. The degree also lays a strong foundation for future leadership roles in research labs, startups, or enterprise tech development.