Computing (Artificial Intelligence and Machine Learning) MSc
Imperial College London, South Kensington Campus, United Kingdom
Computing (Artificial Intelligence and Machine Learning) MSc
Imperial College London
Artificial Intelligence & Machine Learning
Program Overview: Computing (AI and Machine Learning) MSc at Imperial College London
The Computing (Artificial Intelligence and Machine Learning) MSc at Imperial College London is a specialist one-year taught postgraduate program designed for students who have a substantial computing background and wish to deepen their expertise in AI and machine learning. You will develop state-of-the-art knowledge in AI, learn to apply advanced techniques to solve real-world problems, and explore emerging trends in the field.
Delivered by Imperial's Department of Computing, this program combines compulsory core modules in AI and ML with a flexible selection of elective courses, allowing you to tailor your studies to your career goals. You will also acquire practical programming skills in languages such as Python, Prolog, and MATLAB, and gain hands-on experience through an individual research project that forms a major component of the degree.
This MSc is professionally accredited by the Institute of Engineering and Technology (IET) and serves as excellent preparation for both industry careers and PhD studies. Graduates are highly sought after across sectors including technology, finance, robotics, healthcare, and cybersecurity, benefiting from Imperial's strong employer connections and London's thriving AI ecosystem.
Key Program Highlights
- Professionally accredited by the IET (Institute of Engineering and Technology), ensuring industry-recognized qualifications
- Substantial individual research project specializing in AI and ML, allowing you to demonstrate independence and originality
- Flexible curriculum with a mix of compulsory and elective modules covering deep learning, computer vision, NLP, robotics, and more
- Located at Imperial's South Kensington campus in central London, providing access to a vibrant AI and technology industry hub
Curriculum and Modules
The program consists of compulsory core modules, a selection of elective modules, and a major individual project. Students select nine taught courses subject to stated restrictions, in addition to completing the individual project which runs from mid-May to mid-September.
Individual Project (AI and ML Specialism)
Major ComponentDemonstrate independence and originality on an individual research project specializing in AI and machine learning. You will put into practice techniques learned throughout the course and produce a dissertation with an oral presentation.
Trustworthy Machine Learning Systems Engineering
Core ModuleImplement and operate a simplified machine learning-based system covering engineering concepts underpinning trustworthy systems. This module examines all aspects of systems, including data ingestion, user experience, regulation, and wider societal impact.
Geometric Deep Learning
Core ModuleLearn to build machine learning models that work with non-Euclidean data. You will study embeddings, optimization techniques from Riemannian geometry, graph theory, and apply neural networks designed for data on curved spaces and manifolds.
Machine Learning Systems Engineering
Core ModuleInvestigate how modern hardware and systems make machine learning work in practice. From GPUs and TPUs to efficient ML techniques and large-scale deployment, you will get hands-on experience running models across cloud and edge environments.
Deep Learning
Elective ModuleExplore the fundamental concepts and advanced methodologies of deep learning and relate them to real-world problems. This module covers architectures, training techniques, and applications across various domains.
Machine Learning for Imaging
Elective ModuleDevelop your knowledge of machine learning further by relating it to real-world problems in computer vision and medical image analysis. This module bridges theoretical ML concepts with practical imaging applications.
Available Elective Modules
Admission Requirements
Admission to the Computing (AI and Machine Learning) MSc is competitive and aimed at students with a strong academic background in computing. All applications are processed through Uni4Edu, and our team will guide you through every step of the process to ensure a smooth application experience.
Academic Requirements
- Degree RequirementA good academic degree with substantial computing content equivalent to at least two years of a computer science undergraduate program
- Degree ClassificationFirst-class or upper second-class honours degree (2:1) or international equivalent
- Computing BackgroundApplicants must have studied a considerable amount of computing, though not necessarily exclusively
- Target CandidatesStudents seeking to specialize in AI and ML who already have a solid foundation in computing
- Application FeeGBP 90 for all Master's applications (excluding Imperial Business School programs)
English Language Requirements
- IELTSOverall 7.0 with a minimum of 6.5 in each component
- TOEFL iBTMinimum of 100 in each component
- PTE AcademicMinimum of 69 in each component
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
Imperial College London offers a range of scholarships and funding opportunities for postgraduate students, including international students. Uni4Edu can help you identify and apply for the most suitable funding options based on your profile and eligibility.
GREAT - Imperial College London Scholarship
GBP 15,000 towards tuition feesOffered in partnership with the British Council and the UK Government's GREAT Britain Campaign, this partial scholarship supports international postgraduate students from selected countries studying STEM and Business subjects at Imperial.
Imperial Marshall Scholarship
Full scholarship (tuition fees and living costs)A prestigious full award available to American students undertaking any postgraduate program at Imperial. The scholarship covers tuition fees, living expenses, and additional allowances for a transformative study experience.
Commonwealth Master's Scholarships
Full funding (tuition fees and stipend)Available to students from Commonwealth countries, these scholarships cover full tuition fees and provide a stipend for living costs. Applicants must demonstrate financial need and hold at least an upper second-class honours degree.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the Computing (AI and Machine Learning) MSc at Imperial are highly sought after across a wide range of industries. The program's strong focus on practical AI skills, combined with Imperial's reputation and London's position as a global technology hub, opens doors to exceptional career opportunities in both industry and academia.
Typical Graduate Roles
Where Graduates Work
Rankings & Recognition
Imperial College London is consistently ranked among the top universities in the world, with particular strength in science, engineering, and technology disciplines. The Department of Computing is one of the most respected in the UK, and the university's AI and machine learning research is internationally recognized.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science & Information Systems | Guardian University Guide | 4th in UK |
| Engineering and Technology | QS World Rankings by Subject | Top 10 |
| Graduate Employment | The Times / Sunday Times Good University Guide | University of the Year |
| Research Quality | The Times / Sunday Times Good University Guide | 1st in UK |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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