Master’s Programme 'Statistical Learning Theory'

The Master's Programme ‘Statistical Learning Theory’ was launched in 2017, and is run jointly with the Skolkovo Institute of Science and Technology(Skoltech).

As part of the HSE Faculty of Computer Science fifth anniversary celebration at Mercury Moscow City Tower, Ilya Segalovich Scholarships were awarded.

HSE's Faculty of Computer Science and Skoltech are pleased to announce the launch of the second joint Olympiad in Statistical Learning Theory (SLT). The competition will be open to undergraduate and graduate students specializing in fields related to Applied Mathematics and Informatics. Following a pre-selection phase (application details below), the Olympiad finals will be held at Skoltech on April 6-7, 2019.

HSE offers several scholarships that allow international students to cover part of their tuition fees in both undergraduate and graduate programmes. Scholarships are offered as a tuition discount for international students and take effect at the time of their enrolment in HSE. The scholarships are granted for the full period of studies.

The HSE Academic Council has approved tuition fees for undergraduate and graduate programmes for incoming students in 2019.

International admissions for HSE’s Bachelor’s and Master’s programmes are now open. This year, HSE is inviting applications for 52 Bachelor’s and 166 Master’s programmes across its four campuses. A number of programmes are taught in English and offer double-degree opportunities. International students can apply online. Early applications may be eligible for scholarships and tuition fee waivers.

The HSE Faculty of Computer Science has launched the International Laboratory of Stochastic Algorithms and High-Dimensional Inference (HDI Lab). The Lab’s Academic Supervisor,Eric Moulines, and Chief Research Fellow, Vladimir Spokoiny, spoke to us about the fundamental and applied aspects of research performed by the laboratory, their relations with machine learning, and Russian-French academic ties.

The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.