Functional and environment-friendly transport systems are vital in a sustainable society. Students gain expertise in transport and geoinformation technology and learn how to plan, build and maintain advanced transport systems. Graduates blend practical data collection and modelling skills with an interdisciplinary understanding of transport and geoinformation that lead to job opportunities in various sectors.

This Master’s program develops students’ skills in several fields, such as remote sensing, GIS, methods for modeling, explorative data analysis, and visualization with a focus on Earth and Environmental Sciences. Landscape change, environmental monitoring, and mapping, as well as environmental issues in general, feature significantly on the daily political agenda.

This is an internet-based distance learning programme in which you learn how to analyse and model spatial phenomena, focusing on natural resources, using GIS (Geographical Information Systems) and remote sensing and environmental modelling. You can adopt the learning methods that work best for you and choose your own pace of study for any given semester. The programme offers hands-on training using up-to-date software and affords the opportunity to achieve deep theoretical understanding, as well as excellent technical skills, of e.g. spatial programming, SDI, database management, cartography and environmental modelling. The programme is taught by world-class faculties in Sweden (Lund University) and the Netherlands (University of Twente).

Geomatics involves the acquisition, management and analysis of phenomena with a spatial reference. The spatial analysis finds applications in many areas, such as health, environment management, natural resources assessment, urban planning, geology, archaeology and agronomy. This programme aims to provide you with knowledge in spatial analysis focusing mainly on environmental applications. Models and theories for understanding the Earth’s climate and ecosystems are integrated with knowledge for collecting environmental information using remote sensing, storing the information in databases and theories behind Geographical Information Systems (GIS).