Course Overview
This MSc will teach you the fundamental concepts of Artificial Intelligence with a focus on the theoretical knowledge and practical skills required to apply machine learning techniques to a variety of scientific industries, research areas and real-world problems.
Our core compulsory modules explore probability, statistics, machine learning and deep learning, providing you with a solid foundation in AI. You will also gain experience with leading tools, software, and programming languages such as R, Python, C++ and SQL, among others.
You will also work closely with a Queen Mary researcher on a research project in which you can apply your AI and Machine Learning skills to a high-profile dataset or active research being conducted in areas such as particle physics, space, advance materials, environment, and many more.
General Eligibility
A good 2:2 (55% or above) or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects.
Part Time Work Details
International students on a Student visa can usually work up to 20 hours per week during term time and full-time during official holidays, subject to UK visa rules.
Language Requirement
The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.
The English Language requirements for entry to postgraduate taught and research programmes in the School of Physical and Chemical Sciences falls within the following English band:
Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking