• MSc in Artificial Intelligence at the Royal Holloway, University of London​ is offered as a 1-year program by the College of Science and Engineering.
  • This university is ranked #25 in the UK for International Outlook by THE World University Rankings 2021.
  • It is an on-campus program offered on a full-time basis only.
  • Study Data Science and Analytics at Royal Holloway, University of London, and students will develop the practical skills needed to handle and analyze data in a wide variety of fields, preparing you for a rewarding career in Big Data. 
  • Students will study in a department with a strong reputation for research excellence. 
  • The  Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and students will have the opportunity to contribute to this leading research culture with their own individual projects.
  • This flexible program gives students the chance to tailor their learning to their own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics, and Microeconometrics providing scope and variety. 
  • Follow your passion for Data Science and Analytics at Royal Holloway and students will graduate with a desirable Master's degree from a highly regarded department, as well as a transferable skillset that’s both in short supply and in high demand by employers.
  • The location near the M4 corridor – also known as ‘England’s Silicon Valley’ – means students can benefit from networking and placement opportunities with some of the country’s top technology institutions.
  • Skills that students will acquire include the ability to:
    • work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
    • work with structured, unstructured, and time-series data
    • work with software packages such as MATLAB and R
    • design data processing solutions for data-intensive analytics problems
    • work with modern tools for massively distributed data processing, such as Hadoop and Pig, and Cloud Computing tools such as Amazon S3, EC2, and Elastic MapReduce
    • design Extract-Transfer-Load (ETL) pipelines
    • design Data Warehousing and Decision Support System (DSS) solutions
    • work with highly-scalable data-storage solutions, such as MongoDB, Cassandra, HBase, and other NoSQL Data Stores
    • work with data-intensive computing technologies, such as Hadoop MapReduce, Spark, Hive, and Pig
    • work with Cloud Computing tools, such as Amazon S3, EC2, and Elastic MapReduce
  • The MSc program consists of 60 credits.