Chemistry and Artificial Intelligence

In the Master Program, you will learn how to simply solve the most complex problems of chemistry and nanotechnology in a few lines of program code. For two years you will get a skill for the analysis and interpretation of both experimental and theoretical data to discover drugs, targeted delivery vehicles, and next-generation antibiotics.

The education modules include a variety of artificial intelligence technologies such as neural networks and machine learning which have been proven as efficient tools for autonomous driving and face recognition on your smartphone. These techniques allow you to predict the properties of new, unexplored organic molecules and nanomaterials. The program is designed for experimental chemists who feel an urgent need for new approaches and a desire to join the world of information technology. Initial programming skills are highly welcome, but if you don't have them, we'll help you acquire them.

Place of Study: Russia, St. Petersburg
Outcome (diploma or credits): Master of Science in Sustainable Chemical Technologies
Duration: 2 years (120 credits)
Language: English
Admission Requirements: Bachelor's degree in Chemistry, Chemical Engineering or related field with excellent/good grades, CV & motivation letter. Upper-intermediate level of English language (B2 according to CEFR)*

Specializations

Modules

Professors

Thesis examples

Mathematical Representation of Chemical Systems

The course is aimed at teaching the transfer of structures of molecules and materials into digital form, which allows algorithms to most fully interpret the accompanying properties of these structures.

Algorithms and Big Data in Chemistry and Materials Science

During the development of the course, students will learn the basics of working with big data and building effective algorithms that can quickly work with them.

Machine Learning for Chemical Systems

The course will present the basics of machine learning, the construction of basic parametric and non-parametric algorithms, as well as the development of their architecture in relation to specific chemical and materials science problems.

Neural Networks in Chemistry

During the development of the course, students will learn about the basics of neural networks, their application for various types of chemical data, and consider optimal architectures.

Programming of Chemical Tasks

The course aims to teach more specialized programming tools for the fields of chemistry and materials science, as well as programming complex chemical problems.

Computational Chemistry and Modeling of Chemical Systems

The course is aimed at introducing the basics of quantum chemistry, molecular dynamics, ways to optimize the geometry of molecules; full-pipeline training in chemical process modeling.

Natural Language Processing in Chemistry

The course is aimed at teaching the skills of extraction, processing and analysis of the necessary experimental and theoretical data in text format, as well as building effective algorithms for these purposes.

Nanobiotechnologies

The course is aimed at visualization of nanostructures of living cells, selection of conditions for culturing cell lines in vitro; reveals the molecular mechanisms of the cellular antioxidant system, methods for developing nanobiosensors, the principles of using regulatory legal documents when working with biomedical devices, methods for obtaining substances of secondary metabolism; describes equipment for research and production of bioengineering materials, application of structural biology in innovative nanotechnologies and reconstructive medicine.

Technological Forecasting and Marketing

The course reveals modern types and institutional forms of forecasting to choose the best way to organize the implementation of research; aimed at the correct setting of tasks and the development of plans for conducting a prognostic study; describes its essence for innovative technologies and products using the Delphi method, features of teamwork when compiling roadmaps and conducting marketing research; focuses on the promotion of new technologies (products) using scenario analysis methods and the concept of big challenges.

Modern technologies for manufacturing nanoscale objects and materials

The course contains a description of the stages of the life cycle of designed or studied objects of research in the field of nanostructured materials; designed to analyze economic, environmental, social and other restrictions in the field of market technologies for their production; reveals current trends in the use of nanoparticles and methods for their standardization and certification; includes a description of modern methods for obtaining catalysts, functional coatings, their characterization, development of technological lines and integration of science and business.

Creation, implementation and promotion new technology and materials into the global market

The course includes a description of ways to protect intellectual property in order to competently plan the organization of the implementation of research, features of financial management; reproduces the methodology for conducting marketing research, the methodology for assessing risks in the field of intellectual property protection; focused on studying foreign markets and preparing a plan to attract funding at the first stage of organizing the implementation of research, assessing the level of technological readiness of a product or service.