The Information Science and Technology program at Skoltech aims to train researchers working on computational approaches for science and technology problems, ranging from modeling complex physical systems, and solving engineering design problems to analysis of complex image and textual data.
The program includes two tracks: Data (Data Analysis and Management) and CSE (Computational Science and Engineering). The emphasis in the CSE track is on computational methods intended for solving problems arising from physical processes, while the emphasis in the Data track is on problems primarily characterized by large amounts of heterogeneous data (“big data”).
Students admitted to the program are exprect to have a solid background in mathematics (multivariate calculus, linear algebra), and computing (proficiency in at least one commonly used programming language, knowledge of basic algorithms, data structures and computer architecture). Some background in physics or engineering is highly recommended for the CSE track.
The graduates of the program are trained to perform original research in their chosen area and apply the results of the research in industrial context. Students have numerous opportunities for collaborative research with faculty at leading international universities and industrial research labs in Russia and abroad.
The curriculum of the program includes a number of introductory fundamental courses relevant to both tracks (optimization, numerical linear algebra, machine learning), as well as a variety of application-oriented courses such as Computer Vision, Data Mining, Language Technologies, Robotics, Multiscale Modeling, Computational Electromagnetics etc, with a number of IT-relevant electives offered in other programs.