Master in Geospatial Artificial Intelligence

Tuition costs 40,445 USD per year, and the application deadline is There is no application closing date for this course..

Are you passionate about the environment? Are you curious about how science, engineering and technology can address global challenges? Do you want to develop advanced digital and geospatial skills that are in global demand across a range of industries? The Geospatial Artificial Intelligence (Geo-AI) MSc combines modern geospatial engineering with contemporary AI, big data science, and digital technologies, equipping you with in-demand skills which are highly valued by industry. This master’s programme combines geography, sustainability, and cutting-edge geospatial engineering with artificial intelligence (AI) and big data science. We will equip you with industry-standard skills and prepare you for a wide range of careers. Geo-AI engineers develop tools and technologies ranging from satellite positioning and earth observation to advanced Geographic Information System modelling and visualisation. You'll gain skills in: - AI - big data - geospatial science and engineering The course is ideal for students from scientific backgrounds, including geography, environmental science and earth science. It's also well suited for those looking to improve their geospatial engineering expertise for today’s big data-driven workplace. This course provides you with the location-based skills required to solve problems by linking different data sets together. This will help you harness data to understand the natural and built environment around us. You’ll graduate with advanced skills in digital technologies and geospatial analysis. You'll be equipped to apply AI to real-world challenges and drive future environmental and spatial decisions. There are several scholarships and bursary options available for this course, please see 'Search for funding' in the Fees and Funding section. You’ll benefit from Newcastle’s leading research in: - satellite positioning - photogrammetric computer vision - spatial modelling - sustainable land-use planning By covering all major geospatial disciplines, the programme provides a balanced learning experience that is rooted in both theory and practical application. How to apply