Materials Science MSc Program
Materials Science is an interdisciplinary educational track at Skoltech relating to research in various focus areas including Advanced Materials, Energy, Space, Biology, Computations. The broad educational program builds upon several courses taught by faculty members of Center for Energy Science and Technology and elective courses delivered by members of other CREIs including Center for Photonics and Engineering and Center for Materials Technologies. Our lecturers conduct cutting edge research in Materials Science as evidenced by high median h-index ~30. In addition to the specialized expertise, the program delivers an interdisciplinary mix of engineering and natural sciences that is unique for the universities in Russia and beyond. Other core aspects of the program are industry immersion and the entrepreneurship and innovation component. Skoltech offers international environment and the opportunities for students to visit foreign universities and international conferences.
Curriculum
The education program consists of compulsory and elective courses with recommendations for three tracks – Experimental Materials Science, Computational Materials Science and Materials Engineering, as detailed below:
Compulsory courses for all tracks
Materials Chemistry
Course Instructor: Stanislav Fedotov, Dmitry Aksenov
Description: The goal of this course is to provide a survey of materials chemistry and surface spectroscopy techniques. Further emphasis will be placed on interfacial chemistry of materials surfaces and ex situ and in situ study using various surface sensitive spectroscopy methods. The course will rely on strong undergraduate math/physics background the students, however no background in materials will be assumed or required.
Research seminar Advanced Materials Science
Course Instructor:Sergey Luchkin
Description: This is a research seminar of the Skoltech Center for Energy Science and Technology and Materials Science Education program featuring presentations of young Skoltech researchers (MSc students, PhD students, postdocs) as well as external invited speakers. Every MSc and PhD student should deliver at least one presentation during the course. The range of topics is broad and includes any aspects of materials science. As a rule, each speaker presents results of his/her own research with a particular focus on research methodology. Every presentation is followed by a discussion.
Full Syllabus
Compulsory courses for all both experimental tracks (Experimental Materials Science and Materials Engineering)
Crystal Structure Investigation Methods (Term 3)
Course Instructor: Artem Abakumov
Description:
The course teaches theoretical and practical fundamentals of diffraction and electron microscopy methods applied to the analysis of the crystal structure, nano- and microstructure of materials. The course delivers basic knowledge on the theory of crystal structure analysis with various kinds of radiation, modern techniques of crystal structure determination, the analysis of the local structure of matter, defects and microstructure, theory of image formation in the electron microscope and a review on modern spectroscopic techniques with atomic resolution. The competences acquired in this course can be further used in all branches of material science dealing with crystalline matter. The course consists of lectures, seminars/practical lessons, laboratory works and exam.
or/and
Materials Characterization Techniques (Term 2)
Course Instructor: Stanislav Fedotov
Description: The purpose of this course is to familiarize students with the modern practically useful methods of materials characterization spanning various diffraction, microscopy, spectroscopy and electrochemistry techniques.
and
Electrochemistry: Fundamentals to Applications
Course Instructor:Victoria Nikitina
Description: This course covers fundamental concepts of electrochemistry: oxidation and reduction processes, types of conductors, electrolytes, classification of electrodes and electrode reactions, Faraday’s Laws, and electroanalytical methods. In addition, some applied aspects of electrochemistry will be covered including industrial electrolytic processes, electrodeposition, and electrochemical power sources (batteries and fuel cells).
The prerequisites are: undergraduate math, chemistry, and physics.
Organic Chemistry for Energy Materials (Term 3)
Course Instructor: Olga Shmatova
Description: The suggested course is an introduction to the main topics of organic materials used in energy storage and conversion and covers basic knowledge about them (physical and electrochemical properties, application and characterization, molecular design).
Skoltech graduates students in the field of materials science. Today, the students study several courses on inorganic materials used for energy storage. The suggested course will expand their knowledge of organic materials used in energy technology.
Recommended electives in Experimental Materials Science
(Contact person: Stanislav Fedotov)
Catalysis of Sustainable development(Term 4)
Course Instructor: Dmitry Krasnikov
Description: The present course aims to provide a concise but comprehensive introduction to a multidisciplinary field of catalysis. As it affects more than 90% of the chemical industry and generates up to 30 % of the GDP, catalysis employs models and methods from a wide variety of disciplines: from physical chemistry to solid-state physics, from quantum chemistry to hydrodynamics. Thus, two strategies are usually used for teaching: separate educational programs (>2 years) or brief discussion during one or two lectures max. Here we wish to propose a third way – a 3 credit course with problem-oriented education. During the course, the students will learn basic principles and concepts of catalysis and develop a team project on a particular and demanding scientific problem. The latter will be defended during the discussion seminar with other student teams acting as opponents and reviewers.
Totally 21 hours of lectures, 9 hours of exercises and 3 hours of discussion work. During the courses each student is supposed to take part in the team project that will be concluded with a 15 min presentation.
Thermodynamics of Materials
Course Instructor: Aleksandr Kvashnin
Description: The course provides a graduate level overview of selected topics of materials science related to formation of material and its stability. We will begin with the stability of materials by defining the energy contributions responsible for the stability including configuration, vibrational, and thermodynamic contributions to Gibbs free energy. Next, we will consider phase transitions and phase diagrams of materials with various dimensionality. One of the important factors responsible for stabilization is the formation of defects. Types of defects in bulk and 2D materials will be discussed. Considering all the above we will move to discussion of properties of surfaces and thin films which are the most important materials for sensing, energy storage, catalysis, and other applications.
Crystal Chemistry
Course Instructor: Stanislav Fedotov
Description:This course will be useful to a diverse group of students involved in designing new functional materials including but not limiting to electrode materials and solid electrolytes for rechargeable batteries. This course has two objectives: (i) to familiarize with the key parameters and laws that govern the organization of crystalline matter and related crystal structures, (ii) to give a comrehensive guide of to how to “read”, understand and “tune” crystal structures to design, create and modify functional properties of materials.
Students will learn what is required to understand the potential of a new structure to become a base for a prospective material. The first part of the course will cover general structure types, their organization and pecularities, reveal essential crystal chemistry concepts, rules and laws. With these knowledge at hand, the students are invited to the second part of the course to be acquainted with the crystal structure organization of modern electrode materials for rechargeable batteries. The acquired knowledge and skills are expected to facilitate the creation of completely new materials with outstanding characteristics that find applications in technological problems related to energy storage and conversion.
The content of the course is not exclusively fundamental but relates to practical aspects of the creation of innovative materials via a crystal chemistry design approach.
Structure and Properties of Materials
Course Instructor: Artem Oganov
Description:This course is an introductory subject in the field of materials science and crystallography. The goal is to introduce students to basic concepts of structure-property relations for materials at the microscopic level.
Independent student work on discipline includes preparation for lectures, seminars, labs and other learning activities, as well as the implementation of individual tasks / independent works / projects and others. Educational and methodical support of Independent student work presented by topics of all kinds of tasks and guidelines for their implementation.
Catalysis of Sustainable development(Term 4)
Course Instructor: Dmitry Krasnikov
Description: The present course aims to provide a concise but comprehensive introduction to a multidisciplinary field of catalysis. As it affects more than 90% of the chemical industry and generates up to 30 % of the GDP, catalysis employs models and methods from a wide variety of disciplines: from physical chemistry to solid-state physics, from quantum chemistry to hydrodynamics. Thus, two strategies are usually used for teaching: separate educational programs (>2 years) or brief discussion during one or two lectures max. Here we wish to propose a third way – a 3 credit course with problem-oriented education. During the course, the students will learn basic principles and concepts of catalysis and develop a team project on a particular and demanding scientific problem. The latter will be defended during the discussion seminar with other student teams acting as opponents and reviewers.
Totally 21 hours of lectures, 9 hours of exercises and 3 hours of discussion work. During the courses each student is supposed to take part in the team project that will be concluded with a 15 min presentation.
Semiconducting Materials and Devices
Course Instructor: Artyom Novikov
Description:This course aims to provide a basic understanding of semiconductors to students with diverse backgrounds. Particularly, the course will be useful to those students who don’t have strong knowledge of solid state and semiconductor physics. Those students who have such knowledge may still find this course useful thanks to the wide coverage of practical aspects of semiconductor materials science such as device applications, experimental characterization and fabrication techniques, and industrial manufacturing methods. The course will contain two lab sessions to allow students to further familiarize themselves with some basic experimental techniques used in semiconductor science. Additionally, during the final project there will be an option (not mandatory) to chose to make a small research project.
Full Syllabus
Physics of Colloids and Interfaces
Course Instructor: Dmitry Gorin
Description: Interface science is the basis for modern nanotechnology. Objects of the microworld are dominated by surface effects rather than gravitation and inertia. The applications of interface science are important for lab-on-chip technologies, microfluidics, biochips, tissue engineering, biophotonics, theranostics. Modern interface science is a good example of interdisciplinarity: it includes physics, chemical engineering, biology, medicine. During this course, the students gain not only theoretical knowledge but also receive practical skills related to: – surface tension measurements; – contact angle measurements; – surface potential measurement by Kelvin probe method; – nanoparticle characterization by dynamic light scattering method for determination of size and Z-potential of nanoparticles; – synthesis of calcium carbonate cores at the micron- and submicron size and loading of calcium carbonate particles by inorganic nanoparticles and proteins; – fabrication of polymer and nanocomposite microcapsule shells by the Layer-by-Layer assembly approach. They will receive knowledge that can be used for the analysis of phenomena in the microworld from point of view of interface science.
Recommended electives in Computational Materials Science
(Contact person: Dmitry Aksenov)
Compulsory courses:
Computational Chemistry and Materials Modeling (Term 2)
Course Instructors: Dmitry Aksenov
Description: The course provides a graduate level overview of modern atomistic computer simulations used to model, understand and predict properties of technologically important materials. The emphasis is on practical use of techniques, algorithms and programs to bridge theory and applications, from the discovery of materials to their use in real-world technologies. Several laboratories give students direct experience with simulation methods as well as practical knowledge on how to use computational modeling and how to present and interpret results of simulations. Bridges from atomic to complex systems demonstrate potential of different theories to applications relevant to multiple major industries in the future, including nanotechnology and energy.
Full Syllabus
Advanced Materials Modeling (Term 4)
Link to Advanced Materials Modeling
Course Instructors: Sergey Levchenko, Alexander Shapeev
Description: The course builds on introductory Computational Chemistry and Materials Modeling course to provide in-depth understanding and advanced-level use of commonly employed modeling methods, as well as teach state of the art methods tailored for modeling of specific classes of materials relevant to multiple major industries in the future, including nanotechnology and energy. The emphasis is on practical use of techniques, algorithms and programs to bridge theory and applications, from the discovery of materials to their use in real-world technologies. Personalized advisory of multiple experts in different areas of computational materials science will allow students to accomplish challenging projects related to their MSc/PhD theses or other research in materials science.
Computational Materials Science Seminar (Term 1B-2)
Course Instructors: Dmitry Aksenov
Description:This is the main research seminar at Skoltech for Computational Materials scientists. All students of Computational Materials Science subtrack of Materials Science MSc program and Materials Science and Engineering PhD program should attend this seminar. Topics include materials modeling (at atomistic scale), theoretical and computational chemistry, theoretical and computational physics of materials, underlying mathematical methods and algorithms etc. Invited lectures are top scientists in their research field. Students are welcome to present their own research results at this seminar and expected to do this at least once per two terms.
The seminar course is delivered every semester: Term1b+Term2, Term3+Term4, Term5+Term6, Term7+Term8. The speakers are different every semester.
The first enrollement is possible only before Term 1b or before Term 3.
During two years at least three semesters should be taken to get 3 credits.
Please see the seminar webpage at https://www.skoltech.ru/en/cms/
Recommended electives:
Structure and Property of Materials (Term 3)
Course Instructor: Artem R. Oganov
Description: This course is an introductory subject in the field of materials science and crystallography. The goal is to introduce students to basic concepts of structure-property relations for materials at the microscopic level.
Full Syllabus
Mathematics for Engineers (Term 1B)
Course Instructors: Elena Gryazina
Description: The aim of this course is to refresh the basic topics that you are expected to get at bachelor level. If you do not feel confident with basic matrix manipulations, integration and differentiation, solving differential equations, operating with complex variables e t.c. – you should definitely take this course; fluency in these is a must for an educated engineer.
How to do it in 4 weeks? Sounds like impossible. Indeed, you will not recap each and every topic of your bachelor studies of math that took few years. But you’ll have a chance to master some of the topics through specific engineering application.
During three weeks you’ll be given three sequential tasks associated with one application. Week 4 is devoted to summarizing the experience obtained and making final presentation.
Quantum Mechanics (Term 1B)
Course Instructors: Sergey Dyakov
Description: The course will review the basic concepts of quantum mechanics. It is intended both for those who studied quantum mechanics previously and for those who did not. The purpose of the course is not only to introduce the main principles of quantum mechanics but to familiarize with them through active problem solving, which is the only practical way to study quantum mechanics. The course will cover the main topics such as one-dimensional motion, perturbation theory, scattering theory, approximate methods in quantum mechanics, density matrix formalism.
High Performance Python Lab (Term 2)
Course Instructors: Sergey Rykovanov
Description: This course is devoted to learning how to use Python for High Performance Computing on different architectures – multi-core CPUs and general purpose GPUs. The course is oriented on practical knowledge, where the students will get a hands-on experience with Python code profiling, modern Python frameworks, such as Python MultiProcessing, Numba, Cython, mpi4py, PyCuda and others. Wide range of problem sets from linear algebra, image processing, deep learning, physics and engineering makes this course interesting and suitable for all levels of students from all CREIs. Students will also get the possibility to work on modern supercomputers.
Introduction to Solid State Physics
Course Instructors: Sergey Kosolobov
Description: This course gives an introduction to solid state physics, one of the cornerstones on which a modern technologies are based. We will begin with the conventional classification of solids on the basis of binding forces, to be followed by crystal structure description and experimental techniques for crystal studies. From there we will discuss classical and quantum aspects of lattice dynamics and begin the study of the electronic structure of solids, including energy band formalism and carrier statistics in metals, semiconductors and insulators. Next we will consider basics of the atomic and electronic processes at crystal surfaces and interfaces, kinetic effects and scattering of the electrons. We will continue with the study of the optical processes in solids, including nonequilibrium carrier dynamics and photovoltaic effects and their applications in technology.
Introduction to Materials Informatics
Course Instructors: Dmitry Aksenov
Description: The course is an overview of data-driven techniques used to accelerate materials design, focusing on inorganic compounds at the atomistic scale.Lectures offer concise introductions to the underlying theory, while the core of the course lies in its hands-on seminars. Throughout the course, you will: (i) Gain proficiency in Python libraries for atomistic materials modeling; (ii) Explore materials science databases and learn to utilize the Materials Project API; (iii) Apply machine learning algorithms to predict material properties; (iv) Conduct molecular dynamics simulations, employing deep learning interatomic potentials, to investigate the diffusion of mobile ions in ceramics. It is expected that students will better understand the concepts through learning by doing. At the end of the course, students will present a final project in the form of a reseash article, building upon the homework they have completed.
Machine Learning for Engineering Applications
Course Instructors: Petr Zhilyaev
Description: This course explores the application of machine learning techniques in mechanical and chemical engineering, equipping students with data-driven problem-solving skills. It is divided into two parts,
covering fundamental concepts and practical applications. The first part introduces key machine learning methods, including regression, classification, clustering,
and dimensionality reduction. Students will also learn to implement fully connected neural networks and gain hands-on experience with PyTorch.
The second part focuses on real-world engineering applications. In mechanical engineering, students will apply machine learning to predict mechanical response based on material properties. In chemical
engineering, they will explore molecular property prediction. The course also covers applications in 3D printing, such as optimizing process parameters.
By the end of the course, students will be able to apply machine learning to engineering challenges, develop models, evaluate performance, and make data-driven decisions.
Computations and Data in Atomic-level Modeling
Course Instructors: Alexander Shapeev
Description: This course explores the application of machine learning techniques in mechanical and chemical engineering, equipping students with data-driven problem-solving skills. It is divided into two parts,
covering fundamental concepts and practical applications. The first part introduces key machine learning methods, including regression, classification, clustering,
and dimensionality reduction. Students will also learn to implement fully connected neural networks and gain hands-on experience with PyTorch.
The second part focuses on real-world engineering applications. In mechanical engineering, students will apply machine learning to predict mechanical response based on material properties. In chemical
engineering, they will explore molecular property prediction. The course also covers applications in 3D printing, such as optimizing process parameters.
By the end of the course, students will be able to apply machine learning to engineering challenges, develop models, evaluate performance, and make data-driven decisions.
Recommended electives in Materials Engineering
(Contact person: Alexander Korsunsky)
Applied Materials and Design (Term 4)
Course Instructors: Alexander Korsunsky, Olga Ushakova, Alexey Salimon
Description: This course provides a general, broad base introduction into materials science and engineering of applied materials. Firstly, the fundamental physical phenomena are considered that occur at different scales in the main classes of applied materials: metals, ceramics, polymers, natural materials, composites, and hybrids. Next, the interrelation between thermodynamics, diffusion kinetics, and deformation behavior is explored. The concept of structure is introduced, and the nature of structural elements at the atomic, molecular, nano-, micrometer and macroscopic scales is discussed: short and long range order in amorphous materials and crystals, defects, crystallites, grains and subgrains, precipitates, grain boundaries, interfaces, spherulites, etc. These are used to demonstrate the principal approaches to property control and evaluation in materials engineering and related technologies: chemical composition, synthesis, fabrication, heat treatment, plastic deformation, hybridization, and surface engineering.
Principles to control the properties are translated in terms of design performance applicable to the diverse classes. Ashby’s material selection algorithm for rational selection of materials for specific designs and applications will be taught here in comprehensive way – analysis of function, objectives and constraints, deducing of performance indices. All the concepts covered in lectures will be practiced by using CES EduPack a software to implement data intensive learning.
The lectures will be supported with a number of laboratory practical lessons devoted to the development of practical skills in traditional materials science research flow – the visualization, characterization and modification of structure followed by the testing and analysis of properties. All concepts covered in lectures will be the subject of exercises using open source software to implement data intensive learning. Individual projects (problems) will be formulated to introduce the CDIO approach in Applied Materials and Design.
Full Syllabus
Carbon Nanomaterials (Term 3)
Course Instructor: Albert Nasibulin
Description: The course covers the subject of carbon nanomaterials (fullerenes, nanodiamond, nanotubes, and graphene). The history of carbon compounds since antiquity till our days starting from charcoal to carbon nanotubes and graphene will be reviewed. The students will have opportunity to synthesize carbon nanotubes (by aerosol and CVD methods) and graphene, to observe the materials in transmission (TEM) and scanning (SEM) electron microscopes as well as by atomic force (AFM) microscope and to study optical and electrical properties of the produced carbon nanomaterials. A few lectures are presented by various specialists on the topic of their research.
Full Syllabus
Aerosol Science and Technology(Term 2)
Course Instructors: Albert Nasibulin
Description:The course will introduce the basic phenomena of aerosol science, particle formation in the gas phase and their behavior, concepts and measurement techniques for the aerosol particles. Students will synthesize (carbon nanotubes, NaCl, metal, metal oxide and polymer) nanoparticles by two aerosol techniques: gas-to-particle and liquid-to-particle conversions. Students will be trained to operate spark-discharge aerosol synthesis reactor for production of nanoparticles and single-walled carbon nanotubes and spray drying and pyrolysis reactors.
The student will perform the on-line measurements of number size distribution of aerosol synthesized nanoparticles by differential mobility analyzer (size range: 2-1000 nm). Students will become familiar with processes of the aerosol particle collection (filtration, electrostatic precipitation, thermophoretic precipitation). The produced samples of nanoparticles will be observed with means of transmission and scanning electron microscopies.
Totally 34 lecture hours and 15 exercise hours, 5 hours for seminar lessons, 6 presentation hours will be arranged. Students will write a short essay and give a presentation on one of the selected topics.
Design of Chemical Sensors: from Fundamentals to Applications(Term 4)
Course Instructors: Fedor Fedorov
Description:
The course is devoted to the development of chemical sensors and the assessment of their analytical figures of merit mainly from a viewpoint of material science with an emphasis on functional nanomaterials.The sensors are about signal transduction of a chemical interaction to a physical signal which can be measured or assessed by a human. As most processes, which are intended to be a basis for sensor development, occur on the surface, they involve physical and chemical phenomena. Thus, it is important to understand such a physico-chemical system as a whole that leads to selective, sensitive recognition of specific interaction. In our course, we will examine and go from the basics of surface physics and chemistry to the real applications of materials and nanomaterials in chemical sensors and analytical systems. We will study the operation principle of the most widely applied sensors like resistive, electrochemical, acoustic, mass, biosensors, and optical ones. The synthesis of sensitive materials and the design of chemical sensors will also be considered. We will finally touch on the multisensor system and data analysis, including the machine learning protocols.
Fabrication Technology of Nanodevices
Course Instructors: Vladimir Antonov
Description:
The course concerns the fundamental and practical aspects of fabrication technologies widely used for the fabrication of nanoscale devices. The course starts with the introduction of cleanroom environment, code of practise and safety for operation in Nanofabrication centres. There are discussed a range of technologies and methods: UV and Electron Beam lithographies, wet and dry etching, thin film deposition, thermal annealing, controllable oxidation and ion beam implantation, metrology of nanoscale devices. An introduction to chemicals used for fabrication and safety operation is given. Finally, examples of fabrication of devices are discussed. Students will have a chance to learn practical operation on some equipment.
Materials Selection in Design
Course Instructors: Alexey Salimon
Description:This is a research seminar of the Skoltech Center for Energy Science and Technology and Materials Science Education program featuring presentations of young Skoltech researchers (MSc students, PhD students, postdocs) as well as external invited speakers. Every MSc and PhD student should deliver at least one presentation during the course. The range of topics is broad and includes any aspects of materials science. As a rule, each speaker presents results of his/her own research with a particular focus on research methodology. Every presentation is followed by a discussion.
Other core courses and activities
- Innovation Workshop (Term 1A) – trademark course introducing the culture of entrepreneurship and innovation
- Entrepreneurship and Innovation Stream (12 credits) – comprehensive set of courses on the subject
- Industrial Immersion – 8-week full-time internship in one of Russian or foreign companies
- Academic Mobility Program – internships in top universities world-wide
- Research Seminar (“Advanced Materials Science”) – every MSc and PhD student presents his/her research there
- Computational Materials Science seminar – guest lectures of leading researchers in the subject
Other electives
Wide selection of elective courses is offered to fit best your career plans, see Course catalogue. In particular
- English, Writing, Presentation, Pedagogy – to perfect communications skills
- Background courses in math/physics – to fill gaps in undergraduate education:
- Quantum Mechanics (Term 1 or 5)
- Mathematics for Engineers (Gryazina, Term 1)
- Introductory courses on various topics – to foster interdisciplinary research:
- Introduction to Advanced Manufacturing Technologies (Safonov, Term 5)
- Introduction to Data Science (Term 5)
- Principles of Applied Statistics (Term 6 or 2)
- Advanced courses most relevant for Experimental Materials Science:
- Fabrication Technology of Nanodevices (Antonov, Term 3 or 7)
- Soft Condensed Matter (Term 1B)
- High Performance Python Lab (Term 2)
- Aerosol Science and Technology (Term 2)
- Organic Chemistry for Energy Materials (Term 3)
- Thermodynamics of Materials (Term 4)
- Catalysis of Sustainable development (Term 4)
- Advanced courses most relevant for Computational Materials Science:
- Numerical Modeling (Shapeev, Term 3 or 7)
- Numerical Linear Algebra (Oseledets, Term 6)
- Machine Learning (Burnaev, Term 7 or 3)
- Deep Learning (Lempitsky, Term 4 or 8)
- Machine Learning in Structural Bioinformatics and Chemoinformatics (Popov, Term 4 or 8)
- Scientific Computing (Yarotsky, Term 5)
- Mathematical Methods in Engineering and Applied Science (Kasimov, Terms 5-6)
- Foundations of Multiscale Modeling: Kinetics (Brilliantov, Term 7)
- Introduction to Linux and Supercomputers (Term 2 or 6)
- Advanced courses most relevant for Materials Engineering:
- Design of Chemical Sensors (Fedorov, Term 4)
- Materials Selection in Design (Chugunov, Salimon, Term 6 or 2)
- Biomaterials and Nanomedicine (Sukhorukov, Term 4)
- Fundamentals of Additive Technologies (Shishkovsky, Term 7 or 3)
Master thesis
Skoltech professors offering Master projects in Materials Science are
Additional information can be found here:
The program is managed by:
- Director of the program Stanislav Fedotov
- Director of the CEST CREI Artem Abakumov
- Coordinator of the program Dmitry Aksenov
- Administrator of education and Industrial Immersion program manager at CEST Ekaterina Guseva
The curriculum development group includes Profs. A.Abakumov, D. Aksenov, S.Fedotov and other faculty members. Till 2022 it was managed also by Andriy Zhugayevich, Sergey Tretyak, Keith Stevenson. This development has been started in 2014 and incorporates educational and research standards of leading institutions in Materials Science and Engineering worldwide such as MIT/DMSE and LANL/CINT. In Russian education system the program is accredited as 22.04.01 “Материаловедение и технологии материалов”.