Designed to provide up-to-date content and experience of both Remote Sensing and Geographic Information Systems (GIS) topics, this course incorporates theoretical materials and extensive hands-on exercises covering aspects such as acquisition, manipulation, analysis and interpretation of various forms of geospatial data. Graduates of this course are expected to have a broad overview of the fields of Remote Sensing and GIS, to have extensive practical experience of a wide range of relevant software packages, and to be able to operate at a professional level in the geospatial industry. The programme aims to satisfy an industrial and public sector demand for science-qualified geospatial personnel who can use remote sensing data and advanced spatial analytical skills to interpret big data and thus inform planning and development in a variety of disciplines.
Those successfully completing the Master's element of the course will have also demonstrated their ability to undertake and present a piece of independent research relating to Remote Sensing and GIS at an advanced level.
If you don't want to study for a PgDip or Masters, you can take individual modules or a PgCert (4 modules), which aims to provide a solid grounding in the principles and practice of both Remote Sensing and GIS.
To widen access and maximise the learning opportunities, this course is taught in a fully online distance learning format and is offered in part-time mode.
Why Remote Sensing and GIS?
The demand for remote sensing and GIS professionals has been steadily increasing within government, business, education and voluntary sectors, whereas rapid growth in the availability of spatial data, mainly via remote sensing satellites and other big data sources provide a huge potential to map, monitor and understand systems and change in terrestrial and marine environments. Skills in remote sensing and GIS enables analysis across global or local scales on a rapid basis in vast application areas spanning both physical and human geography – climate change, agriculture, forestry, natural resource management, marine planning, sustainable urban development, epidemiology and crime analysis are to name a few. This course aims to provide training in capturing, storing, analysing and interpreting big earth data.