Space applications
training courses

MSc in Geographical Information Science

• Organisation : College of Science and Engineering - University of Leicester
• Way of training : Initial education
• Language(s): English
• Place: Leicester, England (French Regions: Europe)
• Prepared diploma/grade/title: MSc : Master of Sciences (international)
• 1st required level : French baccalauréat + 3

Course Details

Objectives : Geographic Information (GI) plays an increasingly important role in many areas of our lives: environmental protection, business and marketing, communications, forecasting, modelling, agriculture, and local and regional planning.

Understanding GI systems (the software tools) and GI science (the technical discipline) is essential for effective management and analysis of spatial data. Working alongside industry partners, the course comprises four core modules plus four option modules (selected from a larger pool) and a dissertation.

You will learn key skills in: using a range of GI software; scientific programming; dealing with the growth in data from social media and the internet; and, analysing spatial data in the broader context of data science. Alongside the core modules, you’ll have the opportunity to specialise in areas such as environmental health, remote sensing and earth observation, visualisation, and field data capture.

Public concerned : Students

Degree Level (EU) : 7 - (EQC level or equivalent)

Admission requirements : .

Duration and terms : 1-2 years, full- or part-time

This degree looks at the systems and software used to analyse geographic data. GIS is an increasingly important field, with real-world applications in areas like business, modelling, environmental protection, forecasting and regional planning.

Dedicated web site : https://le.ac.uk/courses/geographical-information-science-msc

Applications

• Health and Societal challenges (E-health, tele-epidemiology, space medicine; Risk management, security, education, tourism...)
• Environment and Land Management (Environmental protection, agriculture, biodiversity, climate changes; Resources, land-use planning, infrastructures)

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Earth observation (Remote sensing, GIS, geomatics)