Course summary
Our MSc in Chemistry with Data Science will provide you with the skills necessary to develop and utilise data science so that you can solve data-intensive chemistry problems and research challenges.
Modules
Compulsory modules: 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.
Assessment method
A wide range of assessment methods are used, including written coursework, compute laboratory reports, quizzes, data analysis exercises, scientific writing exercises, oral presentations and formal written examinations.
Entry requirements
Minimum second-class (2:2) Honours degree, or international equivalent, in a relevant subject such as Chemistry, Computing Science, Chemical Engineering, Mathematics, Physics or closely related subject.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ