Chemistry with Data Science (Taught)

The future of chemistry is resilient, digitally enhanced, multidisciplinary and globally connected. Digital technologies, including data science, will enable chemical sciences researchers to see further and go faster, working seamlessly across disciplinary and international boundaries. Having tools such as these at our disposal will herald in a new era of discovery, and one which promises to deliver bigger and more significant improvements to the world we live in.

You’ll benefit from high-quality teaching from across two Departments in the Faculty of Science:

the Department of Pure & Applied Chemistry
the Department of Computer & Information Sciences

Graduates of this course will have excellent employment opportunities for multi-disciplinary data science jobs.

Python 101 for Chemists, Computational Chemistry, Legal, Ethical and Professional Issues for the Information Society, Big Data Technologies, AI & Machine Learning, Software Engineering & High Performance Computing, Time Series Analysis for Chemistry, Scientific Research methods, Machine Learning for Data Analytics, Research Project.

A wide range of assessment methods are used, including written coursework, computer laboratory reports, quizzes, data analysis exercises, scientific writing exercises, oral presentations and formal written examinations.