Student pointing to screen with overlay of graphics of molecular structures
  • Postgraduate taught
  • MSc

Digital Chemistry with AI and Automation

Discover how advances in automation, artificial intelligence, and big data are revolutionising the study of chemistry.

  • Postgraduate taught
  • PG Cert

Digital Chemistry with AI and Automation

Discover how advances in automation, artificial intelligence, and big data are revolutionising the study of chemistry.

Discover how advances in automation, artificial intelligence, and big data are revolutionising the study of chemistry

Learn how to implement machine learning strategies to solve problems in chemistry, drug discovery and material sciences

Benefit from a flexible blended learning programme before applying your skills to an extensive research project

How would you like to study?

Study option:

Course key facts

  • Qualification

    • MSc

  • Duration

    1 year

  • Start date

    September 2024

  • Study mode

    Full-time

  • Fees

    • £14,650 Home

    • £40,500 Overseas

  • Delivered by

  • Location

    • White City

Minimum entry standard

  • 2:1 in chemistry, biochemistry or chemical engineering

View full entry requirements
  • Qualification

    • PG Cert

  • Duration

    6 months

  • Start date

    September 2024

  • Study mode

    Full-time

  • Fees

    • £7,325 Home

    • £20,250 Overseas

  • Delivered by

  • Location

    • White City

Minimum entry standard

  • 2:1 in chemistry, biochemistry or chemical engineering

View full entry requirements

Study option:

Course overview

Explore how the practice of chemistry is undergoing a revolution on this Master's course.

You'll learn how chemistry study is being transformed as a result of advances in automation, artificial intelligence, and big data.

You'll also analyse how digital molecular design will transform synthesis and fabrication from small molecules to materials and vaccines.

This course will develop your appreciation of computational modelling. You'll investigate the means by which it allows for predictive insights into the behaviour of complex molecules and systems, and how it can be used to monitor parallel experiments in real-time.

You'll choose from a broad range of projects within the Digital Chemistry remit and build your expertise in implementing machine learning strategies.

On this course, you'll learn how the field of chemistry is being revolutionised as a result of advances in automation, artificial intelligence, and big data.

You'll also analyse how digital molecular design will transform synthesis and fabrication from small molecules to materials and vaccines.

This course will develop your appreciation of computational modelling. You'll investigate the means by which it allows for predictive insights into the behaviour of complex molecules and systems, and how it can be used to monitor parallel experiments in real-time.

You’ll have the opportunity to develop the knowledge and skills to join the next generation of digital chemists, who are in demand in many industries, as well as enter further research.

Study option:

Structure

This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

You’ll take the following core modules.

Core modules

You’ll choose one optional module and conduct a research project.

Optional modules

You’ll conduct an independent and original research project in the area of digital chemistry. 

This can be carried out remotely or on campus, with a research laboratory at Imperial, or with an affiliated partner or organisation.

Your work will be assessed by a dissertation and oral examination, while you’ll also present your findings at a student symposium.

You’ll take the following core modules.

Core modules

You’ll choose one optional module and conduct a research project.

Optional modules

Study option:

Teaching and assessment

Balance of teaching and learning

Key

  • Lectures, workshops and practical sessions
  • Research project
  • Independent study

  • 12% Lectures, workshops and practical sessions
  • 44% Research project
  • 44% Independent study

Teaching and learning methods

  • Recorded lectures available online
    Lecture recordings
  • Four students sitting in a tutorial
    Tutorials
  • Guided readings
  • Code on a computer screen
    Coding exercises
  • Blackboard virtual learning environment
    Online engagement points
  • Remote experiments

Balance of assessment – excluding research project

Key

  • Coursework and practicals
  • Research project
  • Exams

  • 60% Coursework
  • 30% Practical work
  • 10% Exams

Assessment methods

  • Coursework
  • A person completing a written exam
    Written exams
  • Research project
  • Papers from a written report
    Written reports
  • Oral exams

Teaching and learning methods

  • Recorded lectures available online
    Lecture recordings
  • Four students sitting in a tutorial
    Tutorials
  • Guided readings
  • Code on a computer screen
    Coding exercises
  • Blackboard virtual learning environment
    Online engagement points
  • Remote experiments

Balance of assessment – excluding research project

Key

  • Coursework
  • Practical work
  • Exams

  • 60% Coursework
  • 30% Practical work
  • 10% Exams

Assessment methods

  • Coursework
  • A person completing a written exam
    Written exams
  • Papers from a written report
    Written reports
  • Oral exams

Study option:

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

Study option:

How to apply

Apply now

You can submit one application form per year of entry. You can choose up to two courses.

Application deadlines – Round 5 closes on Friday 5 July 2024

Application deadlines – Round 5 closes on Friday 5 July 2024

Tuition fees

Home fee

PG Cert

£7,325

MSc

£14,650

Overseas fee

PG Cert

£20,250

MSc

£40,500

How will studying at Imperial help my career?

Computer monitor showing data

Master data science, machine learning, and automation skills.

Lightbulb with graduate cap inside

With specialised knowledge, you'll be highly sought after in a range of sectors.

Person in a bubble surrounded by 4 skills

Gain transferable skills relevant to a career in medicine or healthcare or other similar fields.

Medicine logo in circle

Explore roles within medicine and healthcare, start-ups, teaching, and consultancy.

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The chemical and pharmaceutical, data-driven and medical device industries are just some of your options.

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications