This interdisciplinary MSc in Data Science (Satellite Data) trains students in Data Science with an emphasis on the development and use of satellite observations of the Earth and its atmosphere for understanding the natural environment and how it is being impacted by human behaviour.
You will be taught the basic operational principles of different remote sensing and earth observation platforms and sensors, learn how to use a variety of data- and image-processing techniques and software, and gain practical experience of using satellite data and data products in a number of applied terrestrial and atmospheric contexts.
The uptake, use, and commercialisation of satellite data demands expertise in Data Science so you will be trained in a broad range of data science techniques, including machine learning. These skills are not limited to a career focused on satellite observations. They address the shortage of qualified data scientists in the UK and abroad; on graduation you will be in a strong position for a career in a range of data science sectors.
You should have at least a second-class honours degree in any subject.
Students with nonstandard qualifications are encouraged to apply.
We also give due consideration to prior professional experience gained by mature students in relevant areas of work.
This MSc will equip you with specialist knowledge and expertise in satellite data analysis, underpinned by a suite of core of data science skills, including machine learning. Students graduating from this programme will be highly employable in businesses, consultancies, governments and research institutions that use satellite data to better understand and manage the natural world, human societies and their inter-relationships and interactions. In addition, you will have the option to pursue further study through relevant PhD programmes.
Overview of Data Science Practice
Statistics for Data Science
Fundamentals of Data Science
Earth observations of the atmosphere
Modelling Data
Information Visualisation
Creative Problem Solving
Remote Sensing of the Environment
Dissertation
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