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Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

This course offers students excellent graduate employability prospects. You will develop practical skills in Machine Learning Techniques, making you an attractive candidate to employers. You will also be well-placed to pursue PhD study, should you choose to progress your studies further. Machine learning has already revolutionized the user experience of millions of web users the world over, and yet the discipline is still comparatively young. In time, this form of artificial intelligence will have an even more profound impact on the way we use software and interact with computer technology. You will equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies. You will study in one of the UK’s leading research departments, and contribute to our renowned research culture with your own Independent Project. You will benefit from cutting-edge research-led teaching, with the department’s research strengths including Algorithms and Applications, Machine Learning, Bioinformatics and others. You will graduate with a highly desirable Masters qualification in a rapidly expanding sector with excellent graduate employability prospects. The skills and knowledge you will develop will be in high demand by employers including Google, Facebook, Microsoft and Yahoo, and you will be well prepared to pursue a rewarding career.

Different course options

Full time | Royal Holloway, University of London | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

This module covers algorithm-independent machine learning; unsupervised learning and clustering; exploratory data analysis; Bayesian methods; Bayes networks and causality; and applications, such as information retrieval and natural language processing. You will develop skills in data analysis, including data mining and statistics.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£11,300

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£20,500

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Applicants need to have a UK 2:1 (Honours) degree or equivalent in Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing. Relevant professional qualifications and relevant experience in an associated area will also be considered.