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Postgraduate
Courses / Postgraduate / Digital Chemistry (MSc)

Digital Chemistry (MSc)

Award
Master of Science
Duration
1 year
Course Type
Full-time
Campus
Highfield
Next course starts
September 2023

About this course

Master the skills required for the new generation of chemical industries. You’ll learn how to use computational modelling, artificial intelligence and the analysis of big data to solve complex chemistry problems. 

The chemical industries of today are being revolutionised by big data, automation and machine learning. 

This one-year MSc programme will position you at the forefront of these developments, giving you the skills required to succeed within a rapidly evolving sector. 

You’ll explore topics like: 

  • the theory and application of data science 
  • computational modelling techniques 
  • AI and machine learning approaches to modern chemical problems 

You’ll also develop skills in: 

  • programming in python  
  • software development 
  • analysing large and complex data sets 

You'll work with academic staff who are at the cutting edge of research in computational chemistry.  

This programme includes hands-on experience in modern facilities, which may include the University’s supercomputer Iridis 5, which can perform over a quadrillion calculations per second. 

Working with state of the art computational software and hardware is central to this programme, giving you the ability to demonstrate a comprehensive understanding of modern approaches applicable to your own research or advanced scholarship.

Course location

This course is based at Highfield.

Awarding body

This qualification is awarded by the University of Southampton.

Download the Course Description Document

The Course Description Document details your course overview, your course structure and how your course is taught and assessed.

Changes due to COVID-19

Although the COVID-19 situation is improving, any future restrictions could mean we might have to change the way parts of our teaching and learning take place in 2022 to 2023. This means that some of the information on this course page may be subject to change.

Find out more on our COVID advice page.

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