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Master’s Programme 'Applied Statistics with Network Analysis'

The Applied Statistics with Network Analysis Master’s programme is for students who wish to develop their statistical knowledge and credentials by obtaining a graduate degree in Applied Statistics, regardless of their primary field of study. Given the focus of the ANR-Lab, an emphasis on network analytic methods will further enhance the programme’s offering, since networks recently became a popular source of data in a variety of fields. 

2 years
Full-time Programme
390 000 RUB/year
Tuition Fee in 2020
Russian government and HSE scholarships and tuition fee waivers not applicable
ENG
Instruction in English

News

Illustration for news: Student Research Paper Competition 2019: Students Need to Reapply

Student Research Paper Competition 2019: Students Need to Reapply

The organizers are asking everyone who had submitted their work to the competition to send it again. Applications are open until December 20th

Illustration for news: ANR-Lab at the international workshop ARS'2019 in Salerno

ANR-Lab at the international workshop ARS'2019 in Salerno

The 7th international workshop on the analysis of social networks was held on October 29-31 in Salerno, Italy. The workshop was about multilayer, multilevel and multimode networks. Some of our laboratory members and students of the master's program presented the results of their research on the thematic sessions.

Illustration for news: HSE’s Annual Student Research Paper Competition Now Open

HSE’s Annual Student Research Paper Competition Now Open

HSE’s annual student research paper competition has begun accepting applications for the 2019 cycle. The competition is open not only to students of HSE University but to students of any university, both in Russia and abroad. You can submit research papers in Russian or in English. The application deadline is October 15.

Illustration for news: New academic year at MASNA

New academic year at MASNA

From August 30 to September 1, the first workshop of this academic year's master's program "Applied Statistics with Network Analysis Methods" was held

Illustration for news: First graduates of the Master's Program "Applied Statistics with Network Analysis"

First graduates of the Master's Program "Applied Statistics with Network Analysis"

We are congratulating our first graduates!

Illustration for news: ANR-Lab на 9-й Международной конференции по сетевому анализу в Яндексе

ANR-Lab на 9-й Международной конференции по сетевому анализу в Яндексе

On May 18-19, 2019, the 9th NET-2019 International Network Analysis Conference was held at the Yandex office. Laboratory staff and students of the master program "Applied Statistics with Network Analysis Methods" participated in the conference.

Illustration for news: What is the difference between studying in Ghent and studying at HSE?

What is the difference between studying in Ghent and studying at HSE?

Second-year student Elena Beylina shares her impressions about the University of Ghent, where she is studying during the spring semester as a part of Student Exchange Program HSE

Internatilnal School organized by NRU HSE and AlmaU for students and graduates — 2019

Illustration for news: MASNA student Mikhail Bogdanov is the winner of the Vladimir Potanin scholarship competition

MASNA student Mikhail Bogdanov is the winner of the Vladimir Potanin scholarship competition

Mikhail Bogdanov, a student of master`s program “Applied Statistics with Network Analysis”, is the winner of the Vladimir Potanin scholarship contest.

Illustration for news: Studying Applied Statistics and Network Analysis at HSE Moscow

Studying Applied Statistics and Network Analysis at HSE Moscow

Felipe Vaca Ramirez and Paco Arevalo Reyes, both from Ecuador, are second-year students in HSE’s Master’s programme in ‘Applied Statistics with Network Analysis’. Having heard about Russia’s rich mathematical tradition and the high academic standing of HSE, they both decided to study in Moscow despite how far away from home it is. Felipe and Paco share a background in economics, and the HSE programme’s focus on statistics and data and network analysis was a huge draw for them. Affordable tuition fees and multicultural environment were additional bonuses.