About Machine Learning In Science Msc in University of Nottingham
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. Previous students of this course have undertaken paid part-time internships with external partners.
| IELTS (Academic) |
6.0 (with a minimum of 5.5 in each element) |
6.5 (with a minimum of 6.0 in each element) |
7.0 (with a minimum of 6.0 in each element) |
| Pearson Test of English (PTE) (Academic) |
65 (with a minimum of 59 in each element) |
71 (with a minimum of 65 in each element) |
76 (with a minimum of 65 in each element) |
| TOEFL (iBT) |
80 (with a minimum of 17 in writing and listening, 18 in reading and 20 in speaking) |
90 (minimum 19 in writing and listening, 20 in reading and 22 in speaking) |
100 (minimum 19 in writing and listening, 20 in reading and 22 in speaking) |
