Knowledge, Information and Data Science MSc

1 Year On Campus Masters Program

University College London

Program Overview

The MSc in Knowledge, Information and Data Science at UCL is a one-year programme that blends data science, information science, and knowledge-engineering, offering both theoretical foundations and applied computational skills. It suits students with strong analytical or computational backgrounds who want to work with complex data, information systems, and AI-driven knowledge technologies.


Curriculum structure

Year of Study (one-year full-time):
Students begin with core modules such as Logic and Knowledge Representation, Statistical Methods, Database Theory and Practice, and Information Organisation and Retrieval, which introduce the formal, mathematical and computational tools needed to manage and interpret information. These modules train students to represent knowledge logically, analyse and model data statistically, design and query databases, and understand how information is structured, classified and retrieved.
As the year progresses, students may choose optional modules that expand into areas like machine learning, semantic technologies, natural-language processing, or information governance, allowing them to tailor the degree to technical or applied interests. The programme culminates in an independent Dissertation Project, where students apply their knowledge to solve a research problem in information systems, data science or knowledge engineering.


Focus areas (string):
Knowledge representation; information science; data science; statistical modelling; database systems; information retrieval; computational and AI-based methods.

Learning outcomes (string):
Ability to model and represent knowledge; analyse data statistically; design and manage databases; build information-retrieval and knowledge-engineering tools; integrate computational and theoretical approaches; conduct independent research.

Professional alignment (accreditation):
Designed to meet academic and industry expectations in information management, AI, data analytics and knowledge systems, preparing graduates for careers in IT, data science, information architecture, digital libraries, governance, and further research.

Reputation (employability rankings):
UCL consistently ranks among the world’s top universities, with strong employability outcomes and a globally respected Department of Information Studies, making graduates highly competitive in data-driven and information-intensive sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through project-based learning, using UCL's high-performance computing facilities and working with real-world datasets from industry and research partners. The programme emphasizes implementing machine learning systems and data science pipelines in Python, with access to specialized computing resources like the Myriad High Performance Computing facility. This applied learning is structured around several key components:

  • Core Software & Programming: Intensive use of Python and its core data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), with potential use of Spark for large-scale data processing.

  • Computing Facilities: Access to UCL's Myriad High Performance Computing cluster and the Department of Computer Science's computing labs for demanding computational tasks.

  • Group Projects: A significant team-based software engineering project focused on building a complete, scalable data science and machine learning system.

  • Research Dissertation: An individual research project (MSc thesis) often linked to ongoing research within UCL's Centre for Artificial Intelligence or with external industrial partners.

  • Digital Tools & Platforms: Use of cloud platforms and version control systems like Git for collaborative software development and model deployment.

Progression & Future Opportunities

Graduates of UCL's MSc Knowledge, Information and Data Science master data management, analytics, and information systems, securing roles in IT, finance, healthcare, and consulting at firms like Deloitte and Huawei. The program's practical projects and interdisciplinary focus drive high employability in data-driven sectors. Alumni excel as data professionals amid global demand.​

Typical job roles: Data Scientist, Information Analyst, Business Intelligence Specialist, Data Engineer.​

  • Careers service: UCL Careers workshops, employer events, alumni networking​

  • Employment stats: high rates; UK data roles £40k+ start​

  • Partnerships: industry projects with tech/finance leaders​

  • Accreditation value: UCL's top global CS ranking for credentials​

  • Outcomes: roles at Amazon/Bloomberg, research/PhD paths​

Further Academic Progression: Pursue PhDs in data science at UCL or elsewhere, building on dissertation in analytics or ML.

Program Key Stats

£35,400 (Annual cost)
£ 29
Oct Intake : 31st Mar


30 %
No
Yes

Eligibility Criteria

3.3
3 or 4 Years

N/A
N/A
N/A
7.0
100
2:1
60
7
85

Additional Information & Requirements

Career Options

  • Knowledge Engineer
  • Data Architect
  • Information Scientist
  • Business Intelligence Manager
  • Data Governance Specialist
  • Semantic Web Analyst

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