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:
2.1 (or international equivalent) in one of the following areas: physics, mathematics, computer science, chemistry, engineering. A 2.2 (or international equivalent) may be considered if the applicant has relevant work experience or another supporting factor.
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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.
95.5% of undergraduates from the School of Physics and Astronomy secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £34,063.
Core
Optional
In addition, this course offers three alternative strands/pathways which allow you to select different combinations of core and optional modules to meet your interests.
Strand one core modules:
Strand two core modules:
Strand three core modules:
The University of Nottingham was founded on the vision and philanthropic spirit of Jesse Boot who, in 1928, donated the land that is now University Pa...