Taught course

Spatio-temporal Analytics and Big Data Mining MSc

Institution
UCL - University College London · Civil, Environmental and Geomatic Engineering
Qualifications
MSc

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.

The English language level for this programme is: Level 1.

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

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Months of entry

September

Course content

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.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Phone
+44 (0) 20 3370 1214