Software and Data for Space

Discover how to retrieve, process, and analyse space data, including the applications of Artificial Intelligence and Machine Learning.

Software and Data for Space trailer.

Course Overview 

Discover how to retrieve, process, and analyse space data, including the applications of Artificial Intelligence and Machine Learning. 

  • Course Name: Software & Data for Space
  • SCQF Credit Level Equivalence: 10 
  • Prerequisites: Numerate degree and coding experience.
  • Total Hours: 30 hours study time + 1-day in-person workshop 

Course Duration and Dates 

  • Course Duration: 6 weeks online + 1 in-person workshop 

Course Summary 

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 

The course concludes with on-campus practical exercises completed in teams, allowing participants to apply their knowledge in real-world scenarios. 

Learning Outcomes 

By the end of this course, you will: 

  • 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. 

Course Format 

  • Synchronous Online Delivery: 6 weeks 
    • 1 hour of online weekly meetings plus engagement with discussion boards
    • 3-4 hours of independent study per week
  • In-Person Workshop: 1-day session in Edinburgh, where you will apply the skills learned during the course with the guidance of industry experts. 
  • Assessments: Formative assessments through weekly online quizzes and tests, including quantitative assessments, to provide feedback aligned with industry standards. 

Meet the Experts 

Course Leaders 

Industry Experts 

A team of leading industry professionals will be available during the in-person workshop to facilitate learning and engage with participants. 

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