Registration deadline: February 28
International students are eligible to apply for full-tuition Russian government scholarships
Deadline: March 31, 2018
HSE researchers examined the role of corporate universities in developing human capital and improving performance.
We recall the first 25 years of the university development
Consistently ranked as one of Russia’s top universities, the Higher School of Economics (HSE) is a leader in Russian education and one of the preeminent economics and social sciences universities in Eastern Europe and Eurasia. Having rapidly grown into a well-renowned research university over two decades, HSE sets itself apart with its international presence and cooperation. MORE ABOUT HSE
Matthew Boadi-Ampong from Ghana is a first-year student of Master’s programme in Political Analysis and Public Policy. He has shared his impressions of studying at HSE and living in Russia.
On February 8, the winners of the UMNIK competition were announced. The programme, run by the Small S&T Enterprises Assistance Fund, promotes young researchers’ innovation projects. Two HSE students and one HSE alumna will receive grants of 500,000 rubles to carry out research and further develop their S&T projects.
The Internet of Things is rapidly developing - a set of physical objects which interact as part of a global network. From 2018, the MIEM HSE Master's programme, ‘Internet of Things and Cyber-physical Systems’ will train specialists capable of developing and managing such systems.
'Cast-iron Logic of Russia', a book prepared by staff and students of the HSE Arts and Design School, has won the national award in the ‘Best Books and Publishers of the Year’ competition.
On February 12, the winners of the Student Research Paper Competition were announced. They also had the opportunity to put some thought-provoking questions to the university administration. We’ve selected five questions which we consider highly relevant, and the responses are below.
Mathematicians at HSE have successfully demonstrated the use of a Japanese model which detects seismic activity in predicting currency risks.