MSc Data Science and Analytics with a Year in Industry

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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, manufacturing, retail, administration and others reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics with a Year in Industry 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.

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 academic 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 upon 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 develop their skills and experience with a year in industry at some of the country's leading technology institutions.

By electing to spend a year in business you will also be able to integrate theory and practice and gain real business experience. In the past, our students have secured placements in blue-chip companies such as Centrica, Data Reply, Disney, IMS Health, Rolls Royce, Shell, Sociéte Générale, VMWare and UBS, among others.

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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