MSc in Artificial Intelligence
The MSc in Artificial Intelligence is a taught postgraduate course aimed at graduates in disciplines with a large mathematics component, such as Mathematics, Physics and some types of Engineering. To apply, it is not necessary to have studied computer science previously.
The programme includes specialised intensive training in programming and AI, with a wide choice of elective modules, a group project and a large individual project. There are opportunities to do both the group and individual projects with leading companies working on applications of AI.
The course will enable graduates to master the mathematical skills to understand and implement modern statistical machine learning methods, to master the logical foundations of AI, to master a variety of current AI and machine learning techniques and develop insight into problems involved in their application, to develop the ability to evaluate the effectiveness of particular implementations, to develop the ability to deal with real-world data and scenarios and to apply and adjust techniques to realistic applications. Through an intensive module on python programming with a focus on AI applications, and the use of python in other modules on machine learning, the degree will also enable students to graduate as skilled AI programmers.
This course is also a suitable preparation for PhD studies.
If you have further questions regarding the degree which are not answered here or elsewhere on the website, please contact the admissions tutor for the MSc in Artificial Intelligence at firstname.lastname@example.org.
Artificial Intelligence in the Department of Computing
The Department of Computing at Imperial College London has active research groups in Artificial Intelligence, Data Science, and Visual Computing. Many other groups and members of our research staff also work on theory, methods and applications of artificial intelligence and machine learning, and there are many collaborations with other departments at Imperial, as well as with industry.
We also house dedicated research centres, including the Dyson Robotics Lab, the Data Science Institute, the Centre for Integrative Systems Biology and Bioinformatics, the Hamlyn Centre for Medical Image Computing and Robotics, and more. Also, see the Imperial AI network for coordinated AI activity and collaboration throughout the college.
Graduates of the department with a focus on AI have gone on to work in the AI sections of such leading companies as DeepMind, Facebook, Google, and Twitter; many also progress to PhD research at Imperial and elsewhere. A graduate of the department recently had an AI company he co-founded valued at $1 billion, and two other graduates sold their AI startup to Twitter for $150 million.
Throughout the year, leading companies visit the department to give presentations on the Applications of Computing in Industry. Many of these are on AI, and are a great opportunity to learn about the relevance and application of what you are studying, and speak directly with people working on industrial applications. We also have dedicated extracurricular tutorials on Machine Learning from guest lecturers, and a seminar series on Applications of AI which has included talks on subjects ranging from state-of-the combinations of machine learning with symbolic AI, to the ethical implications of using AI to extend human cognition.
Applicants for this degree must possess a degree in Mathematics, Physics, or branches of Engineering, Economics or other disciplines with a substantial mathematics content. See MSc AI detailed entry requirements for more details.
Applying for the MSc in Artificial Intelligence
Applications for October 2020 entries are now open. How to apply.
The deadline for applications for October 2020 entry is July 31st 2020. However, please be advised that we reserve the right to close applications before this date. For this reason, and because the number of places is limited, we recommend applying sooner rather than later.
The MSc in Artificial Intelligence consists of six compulsory modules and five chosen modules. For the chosen modules, students select at least four from the list of selective modules, at most one from the list of optional modules, summing to five in total. The group project mostly runs in the spring term; the individual project mostly runs over the summer.
Please note that the exact list of modules offered may be subject to change.