Software & Data for Space

This course is taught by subject area experts online through a combination of synchronous and asynchronous activity, including engagement with discussion boards.  The course involves 7 hours of contact spread over 7 weeks.  

This course covers various aspects of space data, including: 

• Data formats and levels
• Standard digital image processing
• Machine Learning (ML) and Artificial Intelligence (AI) applications
• Object detection
• Cloud-based processing (GEE, MSPC, AWS)
• Case studies on space data ethics  

There are formative assessments through weekly online quizzes and tests, including quantitative assessments, to provide feedback aligned with industry standards. 

• Be familiar with how satellite data is stored, distributed, and analysed both on desktops and in the cloud.
• Understand a variety of examples of how space data is utilised.
• Know the relevant industry standards, including jargon and terminology.

This course is designed to support learners upskilling to facilitate a move into the space sector or to support a vertical move to a more senior position within the space sector.   

Numerate degree and coding experience is recommended.