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Queen Mary University of London (QMUL), MSc, Big Data Science

The programme is organised in three semesters. The first semester is composed by three core modules plus one optional module that cover the foundational techniques and tools employed for Big Data Science analysis.

The second semester has four modules that are chosen among a set of options. The module selection allows students to focus on domain-specific research or industry applications for Big Data Science.  

Students carry out a large project full time in the third semester, after agreeing to a topic and supervisor in the first semester, and completing the preparation phase over the second semester.

Core modules

  • Big Data Processing
  • Data Mining
  • Applied Statistics
  • MSc Project

Option modules

  • Advanced Program Design
  • Advanced Database System Technology
  • Sensors and the Internet of Things
  • Business Technology Strategy
  • Techniques for Computer Vision
  • The Semantic Web
  • Information Retrieval
  • Digital Media and Social Networks
  • Machine Learning
  • Introduction to Computer Vision


*Please note that modules are subject to change.

Other courses at Queen Mary University of London (QMUL)

Photos

Queens Building. Mile End Campus Inside the ‘Blizzard Building’ Medical school lecture theatre Mile End Campus (around green building), and Royal London Hospital big blue building, home of our medical school), proximity to the City of London (another financial centre) Postgraduate accommodation. Mile End campus Lincoln’s In Field Campus (Postgraduate Law School in Holborn)

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Location

The University is situated in a vibrant and culturally diverse area of East London, close to both Shoreditch, a fashionable and creative media and web-technology centre; and the financial districts of the City and Canary Wharf.