|Modes and duration
Full time: 2 years
No tuition fee for the applicants who pass the selection process
General submission open: December 16, 2016
General submission close: July 16, 2017
Coming selection round dates: June 30 -July 1, 2017
Submit your application for the coming selection round till: June 12, 2017
Master of Science in Mathematics and Computer Science
|Language of instruction
Successful candidates must know:
|English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
This program stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology.
Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues.
Aims and objectives
The program aims at preparing researchers in the most dynamic and high-demand fields related to mathematics and computer science.
The curriculum of the program contains a balanced combination of topics developed very recently (e.g. deep learning) together with in-depth teaching of mathematical foundations (advanced linear algebra, optimization, high-dimensional statistics etc.).
Graduates are expected to poses a combination of deep mathematical background and practical skills (software, algorithms, tools, etc).
Career opportunities and paths
Graduates of the MSc program may pursue a practical or research-oriented career, both of which are popular in one of the following areas:
- carrying out analysis in industry, consultancy, various types of associations and foundations, government agencies, banks, investment funds, etc.;
– expert activities related to methodological development, probabilistic modeling, statistical estimates, transport planning, optimization and forecasting tasks, as well as coming up with efficient methods, control technologies and data analysis in a variety of professional specializations;
– providing technical support for analytical and consulting groups engaged in machine learning, engineering design, financial analysis, modeling and optimization of transport networks;
– participating in management teams of analytical, research and administrative departments.
The program prepares specialists for the following positions:
Program courses are taught by leading Skoltech experts, including such renowned scholars as Dr. Vladimir Spokoiny, Dr. Ivan Oseledets, Dr. Viktor Lempitsky, Dr. Evgeny Burnaev, Dr. Alexey Naumov and Dr. Yury Maximov.
From HSE lectures are delivered by prominent professors including Dr. Yurii Nesterov, Dr. Denis Belomestny, Dr. Dmitry Vetrov, Dr. Andrei Sobolevski, and Dr. Quentin Paris.
Students are actively involved into research activity starting from Term 3.
Main research areas: