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This new joint programme trains the next generation of scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory. This field is at the cutting edge of various disciplines of mathematics and computer science. It is one of the most dynamic areas of modern science, encompassing mathematical statistics, machine learning, optimization, and information and complexity theory. From the start of the programme, students collaborate in thematic working groups and actively participate in research, learning from HSE and Skoltech scientists as well as leading global specialists in statistics, optimization and machine learning.
Four people have received this award for their achievements in the field of Computer Science: two HSE University graduate students, one doctoral student, and Sergei Obiedkov, Deputy Dean for Research and International Relations at the Faculty of Computer Science.
In 2019, Anna Kuzina graduated from HSE University and Skoltech Statistical Learning Theory joint master programme. Now Anna works as a research engineer in Skoltech and will commence her PhD studies in Amsterdam in September. Here she talks about her life as a student and her research. She also gives advice to students who want to build a successful career in industry and research.
HSE University’s Faculty of Computer Science and Skoltech have organised Statistical Learning Theory Olympiad for the third time. The Olympiad’s main award is admission to the HSE University and Skoltech joint master’s programme.
All full degree programmes, implemented at four HSE University campuses, received state accreditation for the next six years. The positive conclusions of experts and representatives of expert organizations have been published on the Rosobrnadzor website.
The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.