Machine Learning in Science
Position Details (Master's)
Machine Learning in Science at University of Nottingham will help you build vital skills, enhancing your employability in a rapidly expanding area.
Graduates of this Machine Learning in Science at University of Nottingham 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.
Career:
Machine learning and artificial intelligence have become central for the economy and society. Graduates are highly sought after in data intensive sectors, including IT, finance, consultancy, manufacturing, as well as academic and industrial research and development.
Courses include:
- Big Data and Cloud Computing
- Designing Intelligent Agents
- Computer Vision
- Professional Ethics in Computing
- Neural Computation
Research Areas & Fields of Study involved in the position
Position Start Date
Sep 2026
University of Nottingham