12 monthsProgramme duration
19 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Chemistry
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Course summary
What happens when chemistry meets artificial intelligence, big data and computational modelling? And how can digital tools help solve chemical problems that are too complex to tackle by traditional methods alone?
If you want to combine chemistry with data science, programming and AI, MSc Digital Chemistry is for you.
At Southampton, you’ll develop the skills needed for a new generation of chemical industries. Explore how computational modelling, artificial intelligence and large-scale data analysis can be used to investigate modern chemistry problems and open up new approaches to research.
You’ll study the theory and application of data science alongside computational modelling, AI and machine learning. Build practical skills in Python programming, software development and analysing large and complex datasets, helping you move confidently between chemical questions and digital solutions.
Your learning is shaped by active research. With 97% of Southampton’s Chemistry research rated world leading or internationally excellent (REF 2021), you’ll work alongside academics whose expertise feeds directly into the programme.
You’ll also put your technical knowledge into practice using modern computational facilities and software. This may include access to Iridis 6, the University’s supercomputer, which can perform more than a quadrillion calculations per second.
Find your place where chemistry and computation meet, and build the expertise to question established approaches, work with complex information and develop new ways to investigate chemical problems.
Key features of this course
**Bring chemistry and AI together.** Explore how artificial intelligence and machine learning can be applied to modern chemical problems and used alongside established computational approaches.
**Build your data science skills.** Develop your understanding of data science theory and learn how to analyse large, complex datasets in a chemistry context.
**Learn to programme.** Develop practical skills in Python and software development, giving you the technical tools to create, adapt and apply computational approaches.
**Model complex chemical systems.** Explore computational modelling techniques and learn how digital methods can help investigate chemical questions that would be difficult to approach through experiments alone.
**Work with advanced computing.** Gain hands-on experience with modern computational software and hardware, which may include the University’s Iridis 6 supercomputer.
**Learn through active research.** Study in a Chemistry research environment where 97% of research is rated world leading or internationally excellent (REF 2021), connecting your learning with current approaches and ideas.
Your future career
Chemical industries increasingly need people who can work across the boundaries of chemistry, data and computation.
You’ll graduate with specialist knowledge in computational modelling, artificial intelligence, machine learning and data science alongside practical skills in Python, software development and complex data analysis.
This combination will help you develop the ability to approach chemistry problems from new angles, select appropriate digital methods and work confidently with modern computational tools.
The programme also develops knowledge and skills that can support your own research or advanced scholarship.
Wherever your next step takes you, you’ll leave Southampton better equipped to connect chemical understanding with digital technologies and contribute to the changing way chemistry is researched and applied.
Further information
The programme combines data science, computational modelling, artificial intelligence, machine learning and chemistry.
You’ll develop skills in Python programming, software development and the analysis of large and complex datasets.
Hands-on experience with modern computational software and hardware is central to the course and may include use of Iridis 6, the University’s supercomputer.
What happens when chemistry meets artificial intelligence, big data and computational modelling? And how can digital tools help solve chemical problems that are too complex to tackle by traditional methods alone?
If you want to combine chemistry with data science, programming and AI, MSc Digital Chemistry is for you.
At Southampton, you’ll develop the skills needed for a new generation of chemical industries. Explore how computational modelling, artificial intelligence and large-scale data analysis can be used to investigate modern chemistry problems and open up new approaches to research.
You’ll study the theory and application of data science alongside computational modelling, AI and machine learning. Build practical skills in Python programming, software development and analysing large and complex datasets, helping you move confidently between chemical questions and digital solutions.
Your learning is shaped by active research. With 97% of Southampton’s Chemistry research rated world leading or internationally excellent (REF 2021), you’ll work alongside academics whose expertise feeds directly into the programme.
You’ll also put your technical knowledge into practice using modern computational facilities and software. This may include access to Iridis 6, the University’s supercomputer, which can perform more than a quadrillion calculations per second.
Find your place where chemistry and computation meet, and build the expertise to question established approaches, work with complex information and develop new ways to investigate chemical problems.
Key features of this course
**Bring chemistry and AI together.** Explore how artificial intelligence and machine learning can be applied to modern chemical problems and used alongside established computational approaches.
**Build your data science skills.** Develop your understanding of data science theory and learn how to analyse large, complex datasets in a chemistry context.
**Learn to programme.** Develop practical skills in Python and software development, giving you the technical tools to create, adapt and apply computational approaches.
**Model complex chemical systems.** Explore computational modelling techniques and learn how digital methods can help investigate chemical questions that would be difficult to approach through experiments alone.
**Work with advanced computing.** Gain hands-on experience with modern computational software and hardware, which may include the University’s Iridis 6 supercomputer.
**Learn through active research.** Study in a Chemistry research environment where 97% of research is rated world leading or internationally excellent (REF 2021), connecting your learning with current approaches and ideas.
Your future career
Chemical industries increasingly need people who can work across the boundaries of chemistry, data and computation.
You’ll graduate with specialist knowledge in computational modelling, artificial intelligence, machine learning and data science alongside practical skills in Python, software development and complex data analysis.
This combination will help you develop the ability to approach chemistry problems from new angles, select appropriate digital methods and work confidently with modern computational tools.
The programme also develops knowledge and skills that can support your own research or advanced scholarship.
Wherever your next step takes you, you’ll leave Southampton better equipped to connect chemical understanding with digital technologies and contribute to the changing way chemistry is researched and applied.
Further information
The programme combines data science, computational modelling, artificial intelligence, machine learning and chemistry.
You’ll develop skills in Python programming, software development and the analysis of large and complex datasets.
Hands-on experience with modern computational software and hardware is central to the course and may include use of Iridis 6, the University’s supercomputer.
Programme overview
Main Subject
Chemistry
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Course summary
What happens when chemistry meets artificial intelligence, big data and computational modelling? And how can digital tools help solve chemical problems that are too complex to tackle by traditional methods alone?
If you want to combine chemistry with data science, programming and AI, MSc Digital Chemistry is for you.
At Southampton, you’ll develop the skills needed for a new generation of chemical industries. Explore how computational modelling, artificial intelligence and large-scale data analysis can be used to investigate modern chemistry problems and open up new approaches to research.
You’ll study the theory and application of data science alongside computational modelling, AI and machine learning. Build practical skills in Python programming, software development and analysing large and complex datasets, helping you move confidently between chemical questions and digital solutions.
Your learning is shaped by active research. With 97% of Southampton’s Chemistry research rated world leading or internationally excellent (REF 2021), you’ll work alongside academics whose expertise feeds directly into the programme.
You’ll also put your technical knowledge into practice using modern computational facilities and software. This may include access to Iridis 6, the University’s supercomputer, which can perform more than a quadrillion calculations per second.
Find your place where chemistry and computation meet, and build the expertise to question established approaches, work with complex information and develop new ways to investigate chemical problems.
Key features of this course
**Bring chemistry and AI together.** Explore how artificial intelligence and machine learning can be applied to modern chemical problems and used alongside established computational approaches.
**Build your data science skills.** Develop your understanding of data science theory and learn how to analyse large, complex datasets in a chemistry context.
**Learn to programme.** Develop practical skills in Python and software development, giving you the technical tools to create, adapt and apply computational approaches.
**Model complex chemical systems.** Explore computational modelling techniques and learn how digital methods can help investigate chemical questions that would be difficult to approach through experiments alone.
**Work with advanced computing.** Gain hands-on experience with modern computational software and hardware, which may include the University’s Iridis 6 supercomputer.
**Learn through active research.** Study in a Chemistry research environment where 97% of research is rated world leading or internationally excellent (REF 2021), connecting your learning with current approaches and ideas.
Your future career
Chemical industries increasingly need people who can work across the boundaries of chemistry, data and computation.
You’ll graduate with specialist knowledge in computational modelling, artificial intelligence, machine learning and data science alongside practical skills in Python, software development and complex data analysis.
This combination will help you develop the ability to approach chemistry problems from new angles, select appropriate digital methods and work confidently with modern computational tools.
The programme also develops knowledge and skills that can support your own research or advanced scholarship.
Wherever your next step takes you, you’ll leave Southampton better equipped to connect chemical understanding with digital technologies and contribute to the changing way chemistry is researched and applied.
Further information
The programme combines data science, computational modelling, artificial intelligence, machine learning and chemistry.
You’ll develop skills in Python programming, software development and the analysis of large and complex datasets.
Hands-on experience with modern computational software and hardware is central to the course and may include use of Iridis 6, the University’s supercomputer.
What happens when chemistry meets artificial intelligence, big data and computational modelling? And how can digital tools help solve chemical problems that are too complex to tackle by traditional methods alone?
If you want to combine chemistry with data science, programming and AI, MSc Digital Chemistry is for you.
At Southampton, you’ll develop the skills needed for a new generation of chemical industries. Explore how computational modelling, artificial intelligence and large-scale data analysis can be used to investigate modern chemistry problems and open up new approaches to research.
You’ll study the theory and application of data science alongside computational modelling, AI and machine learning. Build practical skills in Python programming, software development and analysing large and complex datasets, helping you move confidently between chemical questions and digital solutions.
Your learning is shaped by active research. With 97% of Southampton’s Chemistry research rated world leading or internationally excellent (REF 2021), you’ll work alongside academics whose expertise feeds directly into the programme.
You’ll also put your technical knowledge into practice using modern computational facilities and software. This may include access to Iridis 6, the University’s supercomputer, which can perform more than a quadrillion calculations per second.
Find your place where chemistry and computation meet, and build the expertise to question established approaches, work with complex information and develop new ways to investigate chemical problems.
Key features of this course
**Bring chemistry and AI together.** Explore how artificial intelligence and machine learning can be applied to modern chemical problems and used alongside established computational approaches.
**Build your data science skills.** Develop your understanding of data science theory and learn how to analyse large, complex datasets in a chemistry context.
**Learn to programme.** Develop practical skills in Python and software development, giving you the technical tools to create, adapt and apply computational approaches.
**Model complex chemical systems.** Explore computational modelling techniques and learn how digital methods can help investigate chemical questions that would be difficult to approach through experiments alone.
**Work with advanced computing.** Gain hands-on experience with modern computational software and hardware, which may include the University’s Iridis 6 supercomputer.
**Learn through active research.** Study in a Chemistry research environment where 97% of research is rated world leading or internationally excellent (REF 2021), connecting your learning with current approaches and ideas.
Your future career
Chemical industries increasingly need people who can work across the boundaries of chemistry, data and computation.
You’ll graduate with specialist knowledge in computational modelling, artificial intelligence, machine learning and data science alongside practical skills in Python, software development and complex data analysis.
This combination will help you develop the ability to approach chemistry problems from new angles, select appropriate digital methods and work confidently with modern computational tools.
The programme also develops knowledge and skills that can support your own research or advanced scholarship.
Wherever your next step takes you, you’ll leave Southampton better equipped to connect chemical understanding with digital technologies and contribute to the changing way chemistry is researched and applied.
Further information
The programme combines data science, computational modelling, artificial intelligence, machine learning and chemistry.
You’ll develop skills in Python programming, software development and the analysis of large and complex datasets.
Hands-on experience with modern computational software and hardware is central to the course and may include use of Iridis 6, the University’s supercomputer.
Admission Requirements
120+
3.2+
67+
176+
92+
6.5+
19 Aug 2026
1 Year
Sep
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