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BSc Information, Data and Society

University College London

Institution
University College London
Level
undergraduate
Subject
Information Studies
Duration
3 years
UCAS code
GL00
Typical offer
A-level ABB, IB 34

Entry requirements

A level: ABB IB: 34 points (A total of 16 points in three higher level subjects, with no higher level score below 5.)

About this course

BSc in Information, Data and Society, an information studies degree examining the intersection of technology, data, and human society. Core topics include Programming, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. The programme spans three academic years and concludes with an independent dissertation project. The first year establishes fundamental technical abilities through modules such as How the Web Works, Information Literacy, Introduction to Programming, and Uses, Abuses and Ethics of Information. The second year progresses to advanced technical concepts via Analysing Textual Data at Scale, Database Systems, Information Organisation and Description, and Politics of Digital Platforms. The final year focuses on applied practice and independent research through Data Visualization and GIS, Dissertation, Information Spaces, and Research Design. Students may also tailor their studies in later stages by selecting optional modules covering machine learning, digital humanities, and semantic technologies.

Modules

  • How the Web Works
  • Information Literacy
  • Introduction to Programming
  • Uses, Abuses and Ethics of Information
  • Introduction to Social Anthropology 1 A
  • Foundations of Statistical Methods and Computing
  • Mathematics and Statistics in Information Studies
  • Understanding Politics and Society
  • Analysing Textual Data at Scale
  • Database Systems
  • Information Organisation and Description
  • Politics of Digital Platforms
  • Programming 2
  • Evidence-Based Reasoning
  • Data Visualization and GIS
  • Dissertation
  • Information Spaces
  • Research Design
  • Introduction to Digital Methods in the Humanities
  • Foundations of Machine Learning
  • Graph Databases and Semantic Technologies
  • Protecting and Managing Creative Content
  • Ethical and Responsible Digital Humanities