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Master’s Programme 'Statistical Learning Theory'

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.

2 years
Full-time Programme
320 000 RUB/year
Tuition Fee in 2018
Russian government and HSE scholarships and tuition fee waivers available
ENG
Instruction in English
Partner Universities

News

Illustration for news: DeepBayes 2018: More Bayesian Methods in Deep Learning

DeepBayes 2018: More Bayesian Methods in Deep Learning

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.

From Peru to Moscow: Joint HSE-Skoltech Programme Attracts Students from Afar

Attracted by the famous mathematical education in Russia, Alfredo Alejandro De la Fuente Briceño decided to travel halfway around the world to enrol in HSE’s Master’s Programme in Statistical Learning Theory, a new joint programme between HSE and Skoltech aimed at training the next generation of scientists to carry out fundamental research and work on challenging new problems in statistical learning theory. After completing his Bachelor’s degree in Petroleum and Natural Gas Engineering at the National University of Engineering in Lima, Peru, the 25-year-old was encouraged by several professors and friends to try a programme in a different language and tradition and step outside his comfort zone.

HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’

On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.

HSE University Opens Joint Laboratory with Samsung Research

Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.

Illustration for news: HSE Strengthens its Position in QS World University Rankings by Subject

HSE Strengthens its Position in QS World University Rankings by Subject

HSE has topped the list of universities in the Russian Academic Excellence Project 5-100 once again, having been ranked in 13 subjects and 3 subject areas in the QS World University Rankings. The university has entered the top 100 in ‘Sociology’ and ‘Political and International Studies’ categories, as well as the top 100 in ‘Social Sciences and Management’. 

First International Data Analysis Olympiad to Be Held in Russia

The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.

How to Transfer to HSE

December is one of the two months during the year when students can transfer to HSE from other academic institutions. To facilitate this process, HSE has introduced an online service for those seeking a transfer.

Illustration for news: Admissions Made Easy for International Students: 2018/2019 Academic Year

Admissions Made Easy for International Students: 2018/2019 Academic Year

On November 15, international student admissions for undergraduate and Master’s programmes opened. This year, prospective students can apply to two programmes simultaneously. They’ll be able to track the application process online in their personal profile on the HSE website where they will receive notifications on the stages of their application’s review and decisions by the admissions committee. The documents for visa invitation can also be submitted there.

Illustration for news: HSE Launches Two New Specializations in Computer Science on Coursera

HSE Launches Two New Specializations in Computer Science on Coursera

‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.

Illustration for news: HSE Moves up 10 Positions in QS EECA Ranking

HSE Moves up 10 Positions in QS EECA Ranking

On its 25th anniversary, the Higher School of Economics (HSE) took 25th place in the QS EECA (Emerging Europe & Central Asia) Ranking, thus improving its result by 10 positions as compared with last year. This ranking includes 300 positions and takes into account higher education institutions in transitional European and Central Asian countries.