BSc Chemistry with Artificial Intelligence

One student working in a lab
BSc Chemistry with Artificial Intelligence


During the course, students will explore AI applications in a chemistry context, using large datasets, commercial computational software packages and machine learning algorithms. As students develop their understanding of how to apply AI techniques and technologies in chemistry, they will also develop transversal skills, for example in teamwork or communicative competence.

During the first two years, students will study the fundamental basis of chemistry, and from year 2 will begin to learn programming, machine learning and the skills and theory needed to apply AI to chemistry. In third year students will do an INTRA work placement, while in final year, they will carry out independent research in an area of applied chemistry.



Students will have the knowledge and skills required for both wet lab and desk applications, and can find roles in large multinational companies in the pharmaceutical or materials sectors, but could also choose to join a start-up that needs an AI specialist to help direct its activities or a small-to-medium-size company that needs desk chemists with an AI specialism.


Students studying BSc Chemistry with Artificial Intelligence are capable but not limited to working in the following roles;

  • Analyst
  • Consultant
  • Drug discovery, design, delivery
  • Environmental monitoring
  • Formulation chemist
  • Marketing and sales
  • Process chemist
  • Quality Control
  • Research and Development
  • Synthesis
  • Teaching

In these areas;


  • Education
  • Energy Industries
  • Fine Chemical Industries
  • Food and Beverage
  • Materials Industries
  • Pharmaceuticals
  • Plastics
  • Veterinary Industries


INTRA Internship 

Students complete a 6 month INTRA work placement in Year 3


Course Modules

  • Laboratories (Practical Chemistry, Physics and Biology)
  • Chemistry
  • Physics
  • Biology
  • Calculus
  • Interdisciplinary Science
  • Practical Chemistry (Organic, Physical, Inorganic)
  • Data handling (Visualisation and Validation of Laboratory Data)
  • Organic Chemistry 
  • Inorganic Chemistry
  • Spectroscopy and Physical Chemistry
  • Bio-organic and Pharmaceutical Chemistry
  • Kinetics and Thermodynamics
  • Spectroscopic Workshops
  • Biomolecules and Metabolism
  • Linear Algebra
  • Probability and Statistics
  • Programming (Python)
  • Separation Techniques
  • Organic and Polymer Chemistry
  • Medicinal Chemistry
  • Computational and Inorganic Chemistry
  • Regulation and Data Analysis
  • Practical Chemistry with Artificial Intelligence
  • Machine Learning
  • Programming (Python)


In Year 3 students will have the opportunity to work in industry as part of our industrial training programme (INTRA).



 In Year 4, students will also study the skills and theory they will need to apply AI to chemistry. A major element of final year is the capstone research project, in which students get to pursue independent research in an area of applied chemistry.


If you would be interested in hiring from this programme, please get in touch.


INTRA Coordinator

Email Address  

Contact Number 

Fiona Deane