AI in Material Science
Head of the programme
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Head of the programme
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Relevance of the programme
- The Master Programme “AI in Materials Science” is truly interdisciplinary combining strong theoretical knowledge and practical skill in modern materials characterization techniques and some practical skills and valuable tips on the application of artificial intelligent in the automatization of chemical processes, data analysis and visualization.
- We aimed to share our knowledge in modern chemistry (such as implementation of flow-through microfluidic-based synthesis), advanced materials diagnostics (such an in situ and operando as well as multi-spectroscopic techniques) and application of AI algorithms in acceleration of time and resource consuming quantum chemistry simulations, data analysis and computer vision.
- Our tutors have been awarded by PhD and PhD with Habilitation in leading European and Russian Universities and Institutions and combine their educational activity with active involvement in Research projects supported by different Scientific funds as well as industrial partners.
- The language of teaching is English, while the foreign student can also study Russian language as a elective course.
Head of the programme
Name
Head of the programme
Name
Relevance of the programme
The Master's program "AI in Material Science" includes the study of the latest developments in the field of materials science.
Learning outcomes:
Upon completion of the program, graduates will be able to:
- Analyze and synthesize data on the structure and properties of materials using machine learning methods
- To develop digital models of technological processes in materials science
- Apply deep learning algorithms to analyze microscopic images and spectral data of materials
- Create artificial intelligence systems to automate experiments in materials science
- Evaluate the ethical aspects of AI application in scientific research and industry
- Generate new molecular and crystal structures with specified properties using generative models
- Integrate quantum chemical calculations with machine learning methods to predict the properties of materials
Video about the programme
Programme News
Adding news notes related to this programme: photos, date of publication (with the ability to edit the date), text with the ability to insert images, videos, tables, links, upload documents
Rankings
The SFedU operates a point-ranking system for assessing students' knowledge during the ongoing control and interim assessment of students’ progress. Students can see their scores in their personal account. The ranking of students by points is taken into account when switching to a non-fee form of training.
Practical training
During their studies, students take a practical training in the form of a research project, an internship at a partner company, and a pre-diploma training, aimed at preparing their Master thesis.
State final attestation
The state final attestation is a public defense of the Master thesis before the commission. The commission includes teachers and representatives of business structures and other universities.
Student exchange
Student exchange
Master students can take part in exchange programmes in the 2nd or 3d semester. More https://sfedu.ru/www/stat_pages22.show?p=INT/N12598/P
Master students can take part in exchange programmes in the 2nd or 3d semester. More https://sfedu.ru/www/stat_pages22.show?p=INT/N12598/P
The information will be available soon.