Advert
Advert

MSc Spatio-temporal Analytics and Big Data Mining

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Masters Degree Description

Gain advanced understanding of GIScience, databases, spatial analysis, data mining, analytics and more, on this one-year MSc programme. You'll build the specialist expertise needed to analyse, represent, and model large and complex spatio-temporal datasets.

This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data. 

Teaching combines theory with extensive hands-on experience to cover the diverse facets of big data – from the principles of spatio-temporal analysis and computation guided by statistical and machine learning techniques, to space time data, parallel computing, system design, social media analysis, text mining, and programming. 

You'll apply your skills to real-world scenarios, to create models for social media listening, understand weather patterns, predict earthquakes, and determine global warming trends.

You’ll also learn all about the ethical and social angles to big data that are needed in the working world. This “Bigger Picture” element will help you understand the context of your work, so you can go out and create and deliver projects that benefit both people and the planet.  

Entry Requirements

A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.

Find out more

Fees

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

Programme Funding

There are numerous sources of funding available for postgraduate students, both from external sources such as the Government and from the University.

Student Destinations

Our programme offers a combination of theory, practice, and innovation that will give you the strong technical and contextual foundation you need to progress into a big data career in industry, or to conduct further research. 

Module Details

Compulsory modules

  • Machine Learning for Data Science
  • Spatial-Temporal Data Analysis and Data Mining (STDM)
  • Research Project
  • Geospatial Science
  • Geospatial Programming
  • Spatial Analysis and Geocomputation

Optional modules

  • Web and Mobile GIS - Apps and Programming
  • Spatial Databases and Data Management
  • Sensors and Location
  • Introduction to Complex Infrastructure Systems
  • Urban Simulation
  • Mining Social and Geographic Datasets
  • Cybercrime

Find out more

Add to comparison

Learn more about UCL

Where is UCL?