MSc Digital Chemistry with AI and Automation

Program Overview

The MSc Digital Chemistry with AI and Automation at Imperial College London explores the convergence of chemistry, artificial intelligence, and automation. It equips students with skills in machine learning, computational modeling, and data analytics, preparing them for careers in fields such as chemical and pharmaceutical industries, healthcare, and research. The program emphasizes a hands-on approach through practical exercises and an independent research project.

Program Outline

MSc Digital Chemistry with AI and Automation at Imperial College London

Degree Overview:

This MSc program explores the revolutionizing impact of automation, artificial intelligence, and big data on the practice of chemistry. It aims to equip students with the skills needed to navigate and contribute to these emerging fields. The program delves into the transformation of chemistry study, analyzing how digital molecular design will revolutionize synthesis and fabrication from small molecules to materials and vaccines. It emphasizes the importance of computational modeling, investigating its ability to provide predictive insights into the behavior of complex molecules and systems, and its use in real-time monitoring of parallel experiments.

Objectives:

• Develop an understanding of how advances in automation, artificial intelligence, and big data are revolutionizing the study of chemistry.
• Learn how to implement machine learning strategies to solve problems in chemistry, drug discovery, and material sciences.
• Gain expertise in computational modeling and its applications in chemistry.
• Develop the knowledge and skills to join the next generation of digital chemists, who are in demand in many industries.
• Prepare students for further research in the field of digital chemistry.

Outline:

Core Modules:

• Data Analytics in Chemistry: This module covers the basics of statistics and machine learning, teaching students how to create predictive models.
• Automation in Chemistry, Drug Discovery and Materials: This module reviews state-of-the-art "enabling technologies" and explores low-cost open-source automated systems.
• Ethics in Data Science and Artificial Intelligence: This module investigates the ethical implications of data science and artificial intelligence.
• Journal Club: Students attend regular meetings to discuss current relevant research, introducing, highlighting, and critiquing the work.
• Artificial Intelligence in Chemistry: Materials: This module explores the in silico design of materials problems and applies computational methods and machine learning to chemical/materials problems.
• Artificial Intelligence in Chemistry: Drug Discovery: This module analyzes recent advances in artificial intelligence systems that improve design hypotheses through feedback analysis.

Optional Modules:

• Key Concepts in Chemistry: This module builds awareness of key chemistry vocabulary and the fundamentals of chemical structure and representation.
• Programming in Python: This module introduces Python as a general-purpose programming language, focusing on data processing features and libraries.

Research Project:

Students conduct an independent and original research project in the area of digital chemistry. The project is assessed through a dissertation and oral examination, and students present their findings at a student symposium.

Assessment:

• Coursework: 60%
• Practical work: 30%
• Exams: 10%
• Research Project: Assessed through a dissertation and oral examination.

Teaching:

• Teaching Methods: Lectures, tutorials, guided readings, coding exercises, group projects, and experiments.
• Faculty: The course is delivered by the Department of Chemistry at Imperial College London.
• Unique Approaches: The program emphasizes a blended learning approach, combining online and in-person learning.

Careers:

• Potential Career Paths: Graduates are highly sought after in a range of sectors, including the chemical and pharmaceutical, data-driven, and medical device industries.
• Opportunities: The program prepares students for roles in medicine and healthcare, start-ups, teaching, and consultancy.
• Outcomes: Graduates gain specialized knowledge and transferable skills relevant to a career in medicine or healthcare or other similar fields.

Other:

• The program is offered as both an MSc and a PG Cert.
• The MSc program is one year in duration, while the PG Cert is six months.
• The program is delivered full-time.
• The minimum entry requirement is a 2:1 degree in chemistry, biochemistry, or chemical engineering.
• Applicants with a 2:1 degree in a data science-related area, such as computing, applied mathematics, and statistics, will be considered on a case-by-case basis.

Tuition fees

Home fee Overseas fee PG Cert £7,325 MSc Your fee is based on the year you enter the university, not your year of study. Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.

Which fee you pay

Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status. For courses starting on or after 1 August 2024, the maximum amount is £12,471. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.

Overseas fee

Overseas fee PG Cert £20,250 MSc Your fee is based on the year you enter the university, not your year of study. Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.

Which fee you pay

Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status. For courses starting on or after 1 August 2024, the maximum amount is £12,471. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.