Study Details: MSc 1 year full-time
Data science skills are now in huge demand across every field of science from particle physics to ecology, from drug design to climate change.
This course will equip you with the skills needed to solve data science questions in different fields of science, and to be agile enough to adapt to new fields and challenges as economic and scientific demands change.
You'll concentrate on the skills which data scientists apply on a daily basis to perform data analyses and to rigorously evaluate the results of those analyses, rather than focusing on theoretical bases or algorithmic structure. This approach will equip you with the skills to succeed even if you don't come from such a formal mathematical or computational background.
This course is led by the Department of Chemistry.
2:2 or equivalent in a natural science (e.g. Chemistry, Physics, Biology, Environmental Science, Physical Geography), medical science or engineering
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In 2020, the Emerging Job report from LinkedIn listed data scientist at #3, highlighting the demand for this field.
This course will equip you with the scientific and professional skills that data scientists apply on a daily basis. You will learn to work across disciplines and to communicate with non-specialists, allowing you to move with the demands of the sector. Our course will prepare you for a range of science and science-adjacent data science jobs. Likely career destinations include science based industries such as the chemical and pharmaceutical sectors, policy areas such as environment and health policy, as well as academic research.
You'll learn about different types of data, the ethical and practical issues of handling such data, and how to articulate these skills to employers. All of these skills will ensure you are able to work in diverse environments and different job markets.
Career opportunities
Core modules
Programming for Data Science
Machine Learning for Data Science
Skills for Data Scientists
Data Science Project Development
Data Science Research Project
Option modules
You will study two option modules. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
Statistical Techniques for Data Analysis and Machine Learning
Machine Learning in Chemistry: from atoms to atmospheres
Bioinformatics Group Project
Spatial Analysis and Modelling for Flood Risk Management
Data Science in Healthcare
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
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