Artificial Intelligence and Space Technology

Study support

You will benefit from a suite of digital teaching and collaborative platforms supported by the University such as CANVAS, Horizon, MS365 (including Teams and the MS suite of apps), and Adobe Creative Campus. You will also have access to hands-on software and hardware-based laboratories.

You will be assigned a personal tutor – a member of the teaching staff, to help maximise your success and sense of belonging among the academic community at Bradford. Personal tutors will provide academic guidance, support your professional and personal development, provide initial advice, and signpost to career guidance and other services offered by the Faculty and University.

Prior to the start of your core course activities, you will be given preparatory classes during the induction week. This will help you to learn or brush up on vital programming and technical concepts in readiness for the taught modules in the ensuing weeks.

Research

Your learning will be supported by research data from our facilities for satellite beacon, meteorological, and atmospheric monitoring. Some collaborating companies will also provide additional data and facilities as needed to facilitate your research project work.

The entire course team is research-active within the Bradford-Renduchintala Centre for Space AI (aka Space AI Centre). It enjoys a long research track record in space technologies and AI as well as strong collaborations with industry.

The team is also a founding member of the Satellite Network of Excellence (SatNEx), established in 2004 and funded first by the European Union and currently by the European Space Agency. One example of the team’s many research achievements is its Automated Solar Activity Prediction (ASAP) system, acknowledged as an international benchmark and deployed in NASA’s Solar Dynamics Observatory, as well as being among the UK’s space weather assets.

We believe that you will draw inspiration and benefit from studying in the exciting research-focused and industry-active environment of the Space AI Centre. Some of the case studies that you will encounter in class will come from state-of-the-art research challenges. You may have the opportunity to work alongside some of our PhD students and postdoctoral research fellows on externally funded research projects.