Spatio-temporal Analytics and Big Data Mining MSc

With the rapid development of smart sensors, smartphones and social media, “Big” data is ubiquitous. This new MSc teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.

Key Information

Modes and duration

  • Full-time: 1 year

Programme start date

September 2016

Tuition Fees (2016/17)

£11,090 (FT) £N/A (PT)
£23,020 (FT) £N/A (PT)

Application dates

All applicants
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma with fees set accordingly.

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.

English Language Requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Standard

Further information can be found on our English language requirements page.

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below.

Select your country:

Degree Information

Students will become familiar with the computational foundations of GIScience, spatio-temporal analytics and data mining as well as acquiring the essential skills needed for dealing with big spatio-temporal data, including retrieving and mining big (open) data, web services and cloud computing systems, data management and cyber infrastructure, and web and mobile applications.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, four core modules (60 credits), two optional modules (60 credits), full-time nine months is offered.

Core Modules

  • GIS Principles and Technology
  • Principles of Spatial Analysis
  • Spatial Databases and Data Management
  • Spatio-temporal Analysis and Data Mining

Choose two options from the following:

  • Introductory Programming (requires Applied Machine Learning option)
  • Complex Networks and Web
  • Representation, Structures and Algorithms
  • Mapping Science
  • Supervised Learning (requires Applied Machine Learning)
  • Web Mobile GIS
  • Information Retrieval & Data Mining (requires Introductory Programming)
  • Geographic Information System Design
  • Applied Machine Learning (requires Introductory Programming, and Supervised Learning)


All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.

Further information on modules and degree structure available on the department web site Spatio-temporal Analytics and Big Data Mining MSc


Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Brown Family Bursary - NOW CLOSED FOR 2015/16 ENTRY

£15,000 (1 year)
UK students
Based on both academic merit and financial need

Commonwealth Shared Scholarship Scheme (CSSS)

Full fees, flights, stipend, and other allowances (1 year)
Overseas students
Based on both academic merit and financial need

SPDC Niger Delta Postgraduate Scholarship - NOW CLOSED FOR 2015/16 ENTRY

Tuition fees, plus stipend, flights and allowances. (1 year)
Overseas students
Based on academic merit

More scholarships are listed on the Scholarships and Funding website


Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.

Top career destinations for this degree

  • Graduate Consultant in Urban Modelling, Jacobs (2015)


Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, and visualising “big” spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R. Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.

Why study this degree at UCL?

As one of the world’s top universities, UCL excels across the physical and engineering sciences, social sciences and humanities.

Spanning two UCL faculties, this interdisciplinary programme exploits the complementary research interests and teaching programmes of three departments (Civil, Environmental & Geomatic Engineering, Computer Science, and Geography).

Students on the Spatio-Temporal Analytics & Big Data Mining programme will be part of a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. This is supported by weekly research seminars and industrial seminars from top employers in the field.

Student / staff ratios › 95 staff including 43 postdocs › 200 taught students › 170 research students

Department: Civil, Environmental and Geomatic Engineering

Application and next steps


Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

Who can apply?

The programme is best suited to those in employment seeking continuing professional development or recent graduates who are looking for a career as a data scientist.

Application deadlines

All applicants
29 July 2016

For more information see our Applications page.

Apply now

What are we looking for?

When we assess your application we would like to learn:
  • why you want to study Spatio-temporal Analytics and Big Data Mining at graduate level
  • why you want to study Spatio-temporal Analytics and Big Data Mining at UCL
  • what particularly attracts you to this programme
  • how your personal, academic and professional background meets the demands of a challenging academic environment
  • where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


  • Register interest in your chosen subjects
  • Receive notice of graduate open days, events and more
Register now

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