The goal of the program is to train a new generation of world-class ICT professionals with a broad interdisciplinary outlook, who are ready to lead innovative projects and companies in creating products and systems to manage the Smart Cities of the future. The program curriculum focuses on the use of computer simulation for urban processes, including transport and commodity flows, virtual society activities, the internet of things, urban emergencies and disasters, crowd behavior, etc.
Graduates obtain advanced skills in mathematical modeling and adopt techniques to study global real-world systems (GSS, Global System Science), while incorporating extensive social and humanitarian components.
This master’s program brings an international perspective on best practices and emerging trends in Big Data analysis and supercomputing, preparing students for research and applied IT positions in global leading institutions, companies, and agencies.
Academic Director Sergey Ivanov
- Probabilistic Modelling (Master’s Program: Urban Supercomputing) (as a part of Discrete and Probabilistic Models)
- Advances in Applied Mathematics and Computer Science
- Urban system analysis
- Parallel Programing
- Computational methods of structural mechanics
- Stochastic and discrete mathematical models
- Algorithms in sequence analysis