Digital Chemistry: AI, Automation and Data Science Master of Science - MSc (UG)
Course Overview - Digital Chemistry: AI, Automation and Data Science Master of Science - MSc (UG)
Harness the power of AI, data science and automation to accelerate chemical discovery and solve global challenges.
In an era dominated by technological advancements, the relevance of digital chemistry, AI and automation cannot be overstated. Together, digital chemistry and automation enable researchers to explore and understand complex science more efficiently than ever before. Our course emphasises the pivotal role of machine learning, data science and automated experimentation in the future of industrial chemical research, effectively preparing you for a ...
Harness the power of AI, data science and automation to accelerate chemical discovery and solve global challenges.
In an era dominated by technological advancements, the relevance of digital chemistry, AI and automation cannot be overstated. Together, digital chemistry and automation enable researchers to explore and understand complex science more efficiently than ever before. Our course emphasises the pivotal role of machine learning, data science and automated experimentation in the future of industrial chemical research, effectively preparing you for a career across a wide range of sectors such as pharmaceuticals, materials and chemical technology.
You'll learn how to collect, analyse and exploit large chemical datasets, and how these can be integrated with your chemical knowledge and AI-driven modelling approaches to solve real-world challenges. This dual focus on data generation and interpretation will provide you with the skills required to fully harness the potential of digital chemistry, both computationally and applied in a laboratory setting.
At Leeds, you'll be immersed in an active digital chemistry research environment that spans AI-guided optimisation, autonomous experimentation and advanced data analytics. You'll have the opportunity to carry out an original independent research project which aligns with your interests and career aspirations, ranging from the discovery of new drugs, materials and catalysts to the development of efficient and sustainable manufacturing processes, including predictive chemistry.
During the Digital Chemistry: AI, Automation and Data Science MSc course, you'll learn how to seamlessly integrate chemistry with advanced digital technologies, providing you with the knowledge and skills needed for a career within the modern chemical sciences industries. You'll also have the opportunity to develop a range of additional key transferable skills throughout the course, including problem solving, critical thinking, project planning and scientific communication.
#### Why study at Leeds:
* Learn with research-led expertise: Your course is shaped by globally renowned research from the School of Chemistry and the School of Chemical and Process Engineering, ensuring your learning reflects the latest advances in AI-enabled and automated chemistry.
* Access specialist facilities: You’ll benefit from specialist facilities that support hands-on learning, including flow chemistry platforms, liquid handling robotics and state-of-the-art automated reactors developed at Leeds within the Institute of Process Research and Development.
* Guaranteed Work Experience: You’ll have the opportunity to complete an eight-week virtual work experience, working on a project aligned with your academic discipline and partnered with a relevant company. As well as giving you the opportunity to build key industry connections, you’ll also develop invaluable professional and practical skills that are highly valued by employers.
* Apply your learning through a research project: You’ll put theory into practice by completing an individual research project focused on designing and applying new digital chemistry and AI-driven approaches, gaining real experience with the latest technologies in an active research environment.
* Build advanced, industry-relevant expertise: You’ll develop knowledge and skills in applying AI, automation and data science to industry challenges, such as discovering new functional materials, designing sustainable processes and advancing predictive chemistry.
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
2027-09-01
Campus
Main Site
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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