About the training program
Key features of the program: • in-depth mastery of high-performance software tools for multiphysical engineering modeling and analysis • study of methods for statistical and intellectual analysis of large volumes of data • mastery of methods for multicriteria optimization of virtual models • practical application of machine learning methods for creating surrogate models • the ability to participate in joint scientific research in partner organizations
What do graduates do?
Careers of graduates: • Computational physics engineers – model complex physical processes in the energy, aerospace, and mechanical engineering industries. • Machine learning specialists – develop AI algorithms for data analysis in science, industry, and fintech. • Developers of numerical methods – create high-performance algorithms for scientific and engineering calculations. • Researchers – research in the field of computational mathematics and computer modeling. • Data Scientist – process large arrays of experimental data using ML. The program provides unique competencies at the intersection of physics, mathematics, and artificial intelligence
