Data Science and Analytics MSc
Royal Holloway, University of London · England · DATA-SCIENCE-AND-ANALYTICS
Data Science and Analytics MSc is a Postgraduate taught degree at Royal Holloway, University of London, England, typically 1 year of full-time study. It covers areas like data analytics, data science, data mining, machine learning, business intelligence, business analytics. The summary below is compiled from public course information — approximate, not official.
Royal Holloway, University of London
Postgraduate taught
1 year
£14,900
What you'll study in Data Science and Analytics MSc
Example subjects: MSc by Research (Biological Sciences): Research Skills, Advanced Data Analysis Skills, Machine Learning, Business Intelligence Systems, Infrastructures and Technologies, Computer Science MSci Project, Computer Science (Artificial Intelligence) MSci Project, Business Intelligence Systems, Infrastructures and Technologies, Computing for Data Analysis, Applications of Data Science, Individual Project in Applied Data Science, Machine Learning, Introduction to Data Science.
Frequently asked questions
How long is Data Science and Analytics MSc?
Data Science and Analytics MSc at Royal Holloway, University of London is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Data Science and Analytics MSc?
Data Science and Analytics MSc covers areas like data-analytics, data-science, data-mining, business-analytics, business-intelligence, machine-learning, data-analysis, predictive-analytics.
How much does Data Science and Analytics MSc cost?
Indicative domestic fees for Data Science and Analytics MSc are around £14,900 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Data Science and Analytics MSc?
Data Science and Analytics MSc is offered by Royal Holloway, University of London, England.
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Sources: Royal Holloway, University of London public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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