MSc Data Science and Analytics

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data.

You’ll 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 you’ll have the opportunity to contribute to this leading research culture with your own Individual Project.

This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing scope and variety. You’ll be well-equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research-based roles after graduation.

Skills that you will acquire include the ability to:

Follow your passion for Data Science and Analytics at Royal Holloway and you’ll graduate with a desirable Masters degree from a highly regarded department, as well as transferable skillset that’s both in short supply and in high demand by employers. Our 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.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulsory modules
  • Data Analysis
  • Computation with Data
  • Programming for Data Analysis
  • Ethics in Advanced Computing and Artificial Intelligence
  • Database Systems
  • Large-scale Data Storage and Processing
  • Individual Project
  • Academic Integrity
  • Options modules
  • Machine Learning
  • Methods of Computational Finance
  • Software Verification
  • Advanced Data Communications
  • Digital Audio and Applications
  • Intelligent Agents and Multi-Agent Systems
  • Semantic Web
  • Internet and Web Technologies
  • On-line Machine Learning
  • Service-oriented Computing Technology and Management
  • Business Intelligence Systems, Infrastructures and Technologies
  • Computational Optimisation
  • Methods of Bioinformatics
  • Visualisation and Exploratory Analysis
  • Financial Econometrics
  • Investment and Portfolio Management
  • Fixed Income Securities and Derivatives
  • Microeconometrics
  • Decision Theory and Behaviour
  • The Economics of Banking
  • Private Equity
  • Inference
  • Applied Probability
  • Security Technologies
  • Introduction to Cryptography and Security Mechanisms
  • Network Security
  • Computer Security (Operating Systems)
  • Security Management
  • Smart Cards, RFIDs and Embedded Systems Security
  • Digital Forensics
  • Security Testing
  • Software Security
  • Database Security
  • Cyber Security
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs