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AI in Material Science
Master's Degree programme AI in Material Science represents a unique interdisciplinary academic area that combines advanced artificial intelligence methods with modern materials science. The programme trains a new generation of specialists with good theoretical knowledge and practical skills in the field of physical methods used for materials research and capable of using machine learning, neural network and big data technologies to solve problems of obtaining, automating the synthesis and research of new materials.
  • 2 years
    Full-time
    programme
  • 5 places
    Tuition fee in 2026
  • 20 places
    On a commercial basis
  • ENG
    Instruction in Russian language (Natural resources diplomacy) and in English Language (Humanitarian diplomacy)
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About the programE
During studies:
Students will learn how to integrate artificial intelligence and machine learning with the principles of materials science to design and discover new materials.
Basics of programming
AI and Big Data analysis
Machine learning in Materials Science
Robotics in materials science
- Modeling of microfluidic chips and reactions in them
- Quantum chemical calculations
- Diffraction research methods
Neural networks in materials science problems
- Micro- and low-tonnage chemistry
- Generative artificial intelligence in the problems of materials science
Key advantages:
- International programme in English with track selection option;
 Interdisciplinary approach: physics, chemistry, programming;
- Development and teaching of courses by teachers actively involved in scientific projects with Russian and foreign researchers;
- Two tracks: 1. Engineering/Chemical track); 2) Data-driven material science
Career opportunities:
Graduates of the programme can work as experts in academic and business institutions as a research scientist, computer chemist, or AI expert who uses artificial intelligence to advance chemical developments, materials development, and analytical methods.
Admission requirements:
The programme is designed for 2 years of full-time studies in English language. The location of the campus is Rostov-on-Don. Tuition fees for 2026 are…….
Enrollment in fee-paying places will be based on the results of a competitive selection process within the established number of places. Compliance with the focus of the programme and the availability of an honors diploma are taken into account as well as the results of the Open Doors and Federal University Olympiad when applying.
Detailed information can be found on the Admission page https://welcome.sfedu.ru/welcome_en 
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