Program start date | Application deadline |
2024-09-01 | - |
Program Overview
This advanced computing Master's program at Imperial College empowers students with in-demand skills in AI, software development, and emerging computing technologies. Led by experts, the diverse curriculum prepares graduates for careers in industry or further research, equipping them with essential knowledge and practical programming abilities. The program culminates in an individual research project, fostering originality and independence.
Program Outline
Degree Overview:
Study advanced computing concepts and technologies and build on your background in computing on this Master's course. You'll enhance your skillbase alongside dedicated experts in a world-leading learning environment. The varied programme is designed to prepare you for further research, or for a career orientated towards development and applications in industry. During your studies, you'll explore up-to-date techniques in computing and software engineering and emerging trends in the industry. You'll also enhance your practical programming skills and produce an element of original research on an individual project.
Objectives:
- Study a range of advanced computing concepts and technologies alongside experts in the field.
- Build your awareness of emerging trends in computing and how these techniques can be adapted in industrial applications.
- Improve your programming and software development skills for a future career in computing. Find out more about potential course changes. For confirmation, please check with the relevant department.
Optional Modules:
- Advanced Computer Security
- Complexity
- Computational Finance
- Mathematics for Machine Learning
- Privacy Engineering
- Program Analysis
- Scalable Systems and Data
- Scalable Software Verification
- Reinforcement Learning
- Prolog
- Introduction to Machine Learning
- Scheduling and Resource Allocation
- Independent Study Option
- Quantum Computing
- Advanced Computer Graphics
- Computational Optimisation
- Cryptography Engineering
- Deep Learning
- Machine Learning for Imaging
- Natural Language Processing
- Principles of Distributed Ledgers
- Probabilistic Inference
- Software Reliability
- Software Engineering for Industry
- Knowledge Representation
- Modal Logic for Strategic Reasoning in AI
- Robot Learning
- Advanced Computer Architecture
- Computer Vision
- Graphics
- Custom Computing
- Distributed Algorithms
- Network and Web Security
- System Performance Engineering
- Logic-Based Learning
- Computational Neurodynamics
- Deep Graph-Based Learning
- Human-Robot Interaction
- Methods and Tools in the Theory of Computing
- Statistical Information Theory
Individual Project (Core):
Demonstrate independence and originality on a substantial and individual project culminating in a dissertation. Over the final 5 months of your degree you will put into practice some of the techniques that you have learned throughout the course. The idea for your project may be a proposal from a member of staff or your own, or a combination of the two.
Assessment:
Assessment Methods:
- Coursework
- Laboratory assignments
- Practical
- Written exams
Teaching:
Teaching and Learning Methods:
- Lectures
- Tutorials
- Practical work
- Private study
- Presentations
- Lab work
- Individual project work
- Virtual learning environment
Careers:
- Develop the essential core knowledge and skills for a computing career.
- Consider this course if you're pursuing a career in industry, or if you're interested in a research career in academia or industry.
- Graduates are sought after in roles such as application/web development, networking, AI, media, finance, robotics, and computer games.
Home fee: £22,250 Overseas fee: £41,750 The fee applies per application and not per course. £80 for all taught Master's applications, excluding those to the Imperial College Business School. £100 for all MSc applications to the Imperial College Business School. £150 for all MBA applications to the Imperial College Business School. Inflationary increases: Your fee is based on the year you enter the university, not your year of study.
Overview:
Imperial College London is committed to achieving excellence in research and education across science, engineering, medicine, and business, aiming to benefit society through its strategic vision. The college leverages its strong disciplinary foundations, collaborative culture, global partnerships, and top-tier ranking to address significant global challenges through its ambitious strategy, "Science for Humanity."
Mission and Values:
Imperial College London's mission is to harness science and innovation for the greater good, focusing on societal impact. The institution emphasizes interdisciplinary collaboration and aims to nurture talent, drive innovation, and tackle global grand challenges. Core values include a dedication to inquiry, precision, and a scientific mindset that drives understanding and transformation.
Unique Approach:
Imperial College London stands out for its commitment to interdisciplinary research and a comprehensive approach to addressing complex global issues. The college's strategy involves creating new cross-institutional Schools of Convergence Science, focusing on climate, AI, health, and space, among other areas. The Imperial Global network will enhance global collaboration to address grand challenges.
Academic Focus:
Imperial College London emphasizes a strong STEMB focus and interdisciplinary research to address complex challenges. The institution fosters connections across various disciplines and sectors to advance scientific knowledge and societal impact.
Student Life:
The college provides an inspiring environment for scientific inquiry and innovation, offering resources and support for students to explore, dream, and ask significant questions. It maintains a culture of discovery and entrepreneurial thinking.
Meaningful Impact:
Imperial College London operates with the agility and forward-thinking of a startup, pursuing breakthrough science with transformative impact. It is recognized as a trusted partner for research and innovation, contributing to the global landscape through its work in London.
Legacy of London:
Situated in a vibrant global city, Imperial College London benefits from London's energy, creativity, and opportunities, reflecting the city's diverse and dynamic character in its global impact.
Entry Requirements:
- Minimum academic requirement: First class Honours in a subject with a substantial computing component.
- English language requirement: All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial. For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification.
- International qualifications: We also accept a wide variety of international qualifications. The academic requirement above is for applicants who hold or who are working towards a UK qualification. If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.
Language Proficiency Requirements:
- All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.
- For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification.