This MSc program in Machine Learning at Royal Holloway, University of London, offers students the chance to develop crucial skills in artificial intelligence and data analysis. Over two years full-time, or one year without the industry year, students learn to develop, validate, and apply machine learning and statistical models across structured, unstructured, and time-series data. The curriculum includes modules on data analysis, online machine learning, deep learning, and ethics in AI, complemented by practical experience with software such as MATLAB and R. The program emphasizes cutting-edge research-led teaching and offers students the chance to participate in an independent project. The proximity to 'England’s Silicon Valley' provides excellent networking and industry placement opportunities, helping students to gain real-world experience and enhance employability prospects.
Why this course is highly recommended
This MSc is ideal for students interested in entering a rapidly expanding field with high employability. The program’s strong industry links, including placement opportunities with top companies, offer practical experience that enhances career prospects. Graduates are well-prepared for roles in data science, AI, and machine learning positions at leading firms such as Google, Facebook, and Microsoft. The research-led teaching and access to world-renowned academics further ensure a high-quality education in a technology sector that continues to grow and influence multiple industries.
The program specializes in machine learning, focusing on techniques such as clustering, support vector machines, neural networks, and universal prediction algorithms. It covers both fundamental theory and practical applications, including the development of predictive models and analyses for sectors like medicine, industry, and finance. Students can also choose optional modules in areas like large-scale data processing, computational finance, bioinformatics, network security, and digital forensics, allowing for a tailored learning experience.
Application fees
-
1st year tuition fees
27.55L
Living cost
Applicants should have a 2:1 UK Bachelor honours degree or equivalent in fields like Computer Engineering, Computing, Computer Science, Software Engineering, or other subjects with substantial Maths, Physics, or Engineering components. Professional qualifications or relevant experience may also be considered. International students must meet specific requirements, including an English language proficiency score such as an IELTS of 6.5 overall, with no subscore below 5.5.

English language test
Want to learn more about the admission process, eligibility criteria,
and acceptance rates for international students? Visit the Royal Holloway University of London admission page
for complete details.
Graduates of this program will benefit from strong employability prospects in the data science and AI sector, with demand for data scientists remaining high worldwide. Salaries tend to be substantially higher than other IT roles, with employers including tech giants like Google, Facebook, and Microsoft. The program’s focus on practical skills and industry connections enables students to secure placements and roles at leading companies, and many alumni have gone on to work at firms such as British Aerospace, Amazon, and American Express.