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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 is the only programme designed to meet the needs of professionals dealing with large and complex spatio-temporal datasets who seek to understand the space-time complexity in transport, security, mobility, health and society.

Key Information

Modes and duration

  • Full-time: 1 year

Tuition Fees (2015/16)

UK/EU:
£10,765 (FT)
Overseas:
£22,350 (FT)

Application deadlines

All applicants:
31 July 2015
Optional qualifications: This degree is also available as a PG Diploma with fees set accordingly.

Entry Requirements

A first or 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.

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 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 six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, six core modules (90 credits), two optional modules (30 credits), full-time nine months is offered.

Core Modules

  • GIS Principles and Technology
  • Mapping Science
  • Principles of Spatial Analysis
  • Spatial Data Management
  • Spatio-temporal Analysis and Data Mining
  • Web and Mobile GIS

Choose <b>two</b> options from the following:

  • Representations, Structures and Algorithms or Complex Networks and Web
  • Geographic Information System Design or Information Retrieval and Data Mining

Dissertation/report

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, disssertation, and poster presentation.

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

Funding

Commonwealth Shared Scholarship Scheme (CSSS)

Value:
Full fees, flights, stipend, and other allowances
Duration:
1 year
Eligibility:
Prospective Overseas Master's students on one of the 10 eligible programmes, who are nationals of (or permanently domiciled in) a Commonwealth developing country, and not currently living or studying in a developed country. The students must hold a first degree at either first- or upper second-class level and be sufficiently fluent in English to pursue the programme. Applicants must not have previously studied for one year or more in a developed country, nor have been employed by a government department (at national level) or a parastatal organisation (employees of universities are normally acceptable). Students must be be willing to confirm that they will return to their home country as soon as their period of study is complete.

Commonwealth Shared Scholarship Scheme (CSSS)

Value:
Full fees, flights, stipend, and other allowances
Duration:
1 year
Eligibility:
Prospective Overseas Master's students on one of the 10 eligible programmes, who are nationals of (or permanently domiciled in) a Commonwealth developing country, and not currently living or studying in a developed country. The students must hold a first degree at either first- or upper second-class level and be sufficiently fluent in English to pursue the programme. Applicants must not have previously studied for one year or more in a developed country, nor have been employed by a government department (at national level) or a parastatal organisation (employees of universities are normally acceptable). Students must be be willing to confirm that they will return to their home country as soon as their period of study is complete.

SPDC Niger Delta Postgraduate Scholarship

Value:
Tuition fees, plus stipend, flights and allowances.
Duration:
1 year
Eligibility:
Prospective Master's students from Nigeria who display intellectual ability and leadership potential, and have a high standard of English, i.e. at least 6.5 in IELTS. Students must be aged between 21-30 years, and originate from one of the Niger Delta States in Nigeria, namely Rivers, Delta or Bayelsa, and currently reside in Nigeria. Applicants must intend to return and take up permanent residence in Nigeria after completion of the proposed programme of study. The eligible programmes for this award are MSc programmes in Chemical Process Engineering, Civil Engineering or Mechanical Engineering. Students must have obtained a degree of at least an equivalent standard to a an upper second-class UK Bachelor's degree and be neither a current nor former employee (who have left employment less than five years before) of SPDC, the Royal Dutch Shell Group of Companies or Wider Perspectives Limited, or current employee's relatives Applicants must not already have had the chance to study in the UK or other developed country.

SPDC Niger Delta Postgraduate Scholarship

Value:
Tuition fees, plus stipend, flights and allowances.
Duration:
1 year
Eligibility:
Prospective Master's students from Nigeria who display intellectual ability and leadership potential, and have a high standard of English, i.e. at least 6.5 in IELTS. Students must be aged between 21-30 years, and originate from one of the Niger Delta States in Nigeria, namely Rivers, Delta or Bayelsa, and currently reside in Nigeria. Applicants must intend to return and take up permanent residence in Nigeria after completion of the proposed programme of study. The eligible programmes for this award are MSc programmes in Chemical Process Engineering, Civil Engineering or Mechanical Engineering. Students must have obtained a degree of at least an equivalent standard to a an upper second-class UK Bachelor's degree and be neither a current nor former employee (who have left employment less than five years before) of SPDC, the Royal Dutch Shell Group of Companies or Wider Perspectives Limited, or current employee's relatives Applicants must not already have had the chance to study in the UK or other developed country.

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

R.C. Vaughan Bursary

Value:
Variable
Duration:
1 year
Eligibility:
Eligibilty: For students in the Department of Civil, Environmental & Geomatic Engineering who are in financial need.

R.C. Vaughan Bursary

Value:
Variable
Duration:
1 year
Eligibility:
Eligibilty: For students in the Department of Civil, Environmental & Geomatic Engineering who are in financial need.

More scholarships are listed on the scholarships website

Careers

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.

Employability

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 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.

Student / staff ratios › 36 staff › 140 taught students › 79 research students

Department: Civil, Environmental and Geomatic Engineering

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 best suited for those in employment seeking continuing professional development or those who are looking for a career as a data scientist.

Application deadlines

All applicants
2015-07-31

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.

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