Spatio-temporal Analytics and Big Data Mining UCL

Overview

UCL is renowned for its academic excellence, consistently ranked among the top universities globally, holding the 9th position in the latest QS World University Rankings 2025. This prestigious MSc programme offers students the opportunity to learn from distinguished faculty members who are experts in fields such as data science, geospatial sciences, and machine learning. The university's strong partnerships with industry leaders ensure that students gain valuable insights and experiences, preparing them for successful careers in a rapidly evolving job market. Additionally, UCL's state-of-the-art facilities, including innovative research laboratories, provide an ideal environment for academic and practical learning.

For the academic year 2025/26, the tuition fees for the MSc in Spatio-temporal Analytics and Big Data Mining are as follows:

• UK students: £20,500 per year
• International students: £39,800 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The MSc programme comprises a comprehensive curriculum designed to provide both theoretical knowledge and practical skills. Full-time students will complete 180 credits, which include:

• Compulsory Modules:
  • Machine Learning for Data Science
  • Spatial-Temporal Data Analysis and Data Mining
  • Research Project
• Optional Modules:
  • Geospatial Science
  • Geospatial Programming
  • Spatial Analysis and Geocomputation
  • Web and Mobile GIS - Apps and Programming
  • Sensors and Location
  • Introduction to Complex Infrastructure Systems
  • Urban Simulation
  • Mining Social and Geographic Datasets
  • Cybercrime

Students will also undertake a dissertation or report as part of their assessment, ensuring they can apply their learning to real-world challenges.

Graduates of this programme have successfully secured positions with prestigious employers, including UBS Investment Bank, Panasonic, and Datacup. Many alumni have also pursued research opportunities at renowned institutions such as the University of Cambridge. The diverse skill set gained from this MSc prepares graduates for roles in various sectors, including data science, finance, urban planning, and social media analysis, making them highly competitive in the job market. The programme's emphasis on both technical and transferable skills ensures that graduates are well-equipped to meet the demands of their chosen careers.