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Spatio-temporal Analytics and Big Data Mining MSc

Spatio-temporal Analytics and Big Data Mining MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Knowledge Management Systems Data Analysis Database Management

Course type

Taught

Course Summary

With the rapid development of smart sensors, smartphones and social media, 'big' data is ubiquitous. This MSc teaches the foundations of GIScience, databases, 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. Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, all by practising with real case data and open software.

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, visualising and simulating '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.

Optional qualifications

This degree is also available as a PG Diploma with fees set accordingly.

Modules

Spatial Analysis and Geocomputation - Core
Geospatial Science - Core
Spatial-Temporal Data Analysis and Data Mining - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

16,500

International fees
Course fees for EU and international students

For this course (per year)

32,100

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.

University information

University College London (UCL) is one of the largest and most highly ranked higher education institutions in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury, and a second campus in vibrant east London the university is home to around...more