MSc Knowledge, Information and Data Science

Normal requirements for admission are a minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. Applicants with appropriate professional qualifications or experience in relevant disciplines will also be considered. We welcome applications from those with a broad range of academic backgrounds. However, applicants are expected to demonstrate technical and/or mathematical aptitude and, in particular, should have experience of computer programming and knowledge of statistics, linear algebra and calculus.

For fees and funding options, please visit website to find out more.

We aim to prepare graduates for careers in a wide variety of roles in the information sector, such as information systems management, business analytics, information architecture, knowledge-based systems, information security and governance, e-commerce, finance/fintech, data analytics and data science.

Compulsory modules

• Dissertation
• Database Theory and Practice
• Information Governance
• Foundations of Machine Learning
• Statistical Methods
• Logic and Knowledge Representation
• Graph Databases and Semantic Technologies
• Natural Language Processing and Text Analysis
• Machine Reasoning for Artificial Intelligence
• Machine Learning Methods
• Information Retrieval and Search
• Generative AI for Information Processing

Optional modules

• Graph Databases and Semantic Technologies
• Natural Language Processing and Text Analysis
• Machine Reasoning for Artificial Intelligence
• Machine Learning Methods
• Information Retrieval and Search
• Generative AI for Information Processing
• reasonable adjustments
• Student Support and Wellbeing Services
• UCL Student Support and Wellbeing Services
• AccessAble
• UCL Student Support and Wellbeing Services.