Master in Environmental Remote Sensing Geospatial Sciences  

Presential
English
This course provides a thorough scientific grounding in remote sensing and professional training in geospatial technology and programming, with a unique focus on environmental applications and space exploration. The MSc Environmental Remote Sensing and Geospatial Sciences aims to prepare graduates for a successful career in: environmental, heritage and resource management (e.g. agriculture, fisheries, energy, insurances, waste crime) sectors the fast-growing downstream space and technology-driven industries, including government regulators, local authorities, universities and space agencies We aim to provide an in-depth, critical and balanced understanding of the theoretical foundations of remote sensing alongside current and emerging environmental and other applications. This course will develop transferable professional and academic skills and will combine interdisciplinary scientific knowledge in environmental sciences with practical and cutting edge observation technology.
English
This MSc course includes work-related assessments and guest speakers from public, private and third sector. Collectively, these will help you to set your career expectations and provide you with knowledge and skills which are highly relevant to recruitment needs. The modules also integrate career readiness skills through the use case studies from different sector perspectives. This gives you the opportunity to familiarise with real-life solutions to common challenges in Earth observation and space exploration.
English
Master in Environmental Remote Sensing Geospatial Sciences
English
Downstream
English

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).