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University of Nottingham: Machine Learning in Science

Institution University of Nottingham
Department School of Physics and Astronomy
Web http://www.nottingham.ac.uk
Study type Taught

Summary

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition and language processing.

On this course you will learn how to apply ML and AI techniques to real scientific problems. This will help you build vital skills, enhancing your employability in a rapidly expanding area.

Graduates of this course will learn how to:

  • identify and use relevant computational tools and programming techniques

  • apply statistical and physical principles to break down algorithms, and explain how they work

  • design strategies for applying machine learning to the analysis of scientific data sets.

In addition, you will develop a broad set of transferable skills, including communication, critical thinking, and problem-solving.

Graduates with expertise in this area are highly sought after in all sectors that are data intensive, including IT, finance, consultancy, manufacturing, and large areas of academic and industrial research and development.

The Research Excellence Framework 2014 rated us joint third in the UK for research quality. You will have the opportunity to develop your own research project on a topic of your choice. Previous projects have looked at:

  • Galaxy Cluster Emulation

  • Assembly of large scale structure in the Universe

  • Application of ML to Fintech.

Master of Science - MSc (PG)

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