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Social and Geographic Data Science MSc

There is ever-growing national and international demand for qualified professionals and scientists who have expertise in social and geographic data science. UCL's Social and Geographic Data Science MSc provides rigorous scientific and vocational training for the next generation of data scientists, with a unique expertise at the interface of social sciences, computing and statistics.

Key information

Programme starts

September 2020

Modes and duration

Full time: 1 year
Part time: 2 years

Application dates

All applicants
Open: 1 November 2019
Close: 28 August 2020

Tuition fees (2020/21)

UK/EU:
£11,470 (FT)
£5,770 (PT)
Overseas:
£23,340 (FT)
£11,830 (PT)


Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website.

Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.
Location: London, Bloomsbury

Entry requirements

Normally a minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

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: Good

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:

About this degree

The programme combines a rigorous treatment of underlying theory for, and methods of implementing and exploiting, spatial analysis,decision support, and data science. Optional modules provide the opportunity to develop expertise in modelling and analysis in one or more areas of social and environmental science with social and policy dimensions.

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 research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.

A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.

Upon successful completion of 180 credits, you will be awarded a MSc in Social and Geographic Data Science. Upon successful completion of 120 credits, you will be awarded a PG Dip in Social and Geographic Data Science. Upon successful completion of 60 credits, you will be awarded a PG Cert in Social and Geographic Data Science.

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.

Compulsory modules

  • Geographic Information Systems and Science
  • Principles of Spatial Analysis
  • Introduction to Data Science
  • Data, Politics and Society

Optional modules

  • Advanced Topics in Social Data Science
  • Mining Social and Geographic Datasets
  • Introduction to Citizen Science and Scientific Crowdsourcing
  • Cartography and Data Visualisation
  • 1 x 15 credit module may be taken from other Geography MSc programmes or from outside Geography, subject to availability and approval from the MSc programme convenor

Dissertation/report

All MSc students undertake an independent research project which culminates in a dissertation of approximately 12,000 words and a poster presentation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, and the dissertation.

Additional costs

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information can also be obtained from the UCL Student Support & Wellbeing team.

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

There is a national and international need for scientists with skills in data science based analysis and decision support complemented by a deep knowledge of domain-specific models and analytical methods that can be brought to bear on environmental issues and their social consequences. The MSc provides an ideal foundation for PhD research, or for prospective employment within research organisations, consultancies, government departments and a wide range of industries.

Why study this degree at UCL?

The Social and Geographic Data Science MSc is run by UCL Geography, which enjoys an outstanding international reputation for its research and teaching. The programme brings together the department's strong expertise in spatial science and social and environmental modelling.

Students enter a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. UCL's location, in central London, provides easy access to many key intellectual venues and resources, such as the British Library.

Department: Geography

Application and next steps

Applications

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 particularly suitable for students with an undergraduate degree in geography, Earth or environmental science, geomatics, oceanography, or another relevant discipline. Applicants with relevant professional experience in geographic information systems, data science, spatial analysis or decision support will also be considered.

Application deadlines

All applicants
28 August 2020

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 Social and Geographic Data Science
  • why you want to study Social and Geographic Data Science at UCL
  • what particularly attracts you to this programme
  • how your academic and/or 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.

UCL is regulated by the Office for Students.

Page last modified on 31 July 2020