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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
320 000 RUB/year
Tuition Fee in 2018
Russian government and HSE scholarships and tuition fee waivers not applicable
ENG
Instruction in English
Partner Universities

News

Natalia Kraeva took the II place in the competition of the SRWS

Summarized the results of the competition of scientific research works of students (SRWS) 2017. Student of the first year of the master's program "Applied Statistics with Social Network Analysis" Natalia Kraeva took the II place in the nomination "The best research work on sociology for students of magistracy and graduates of 2017".

"Bayesian Data Analysis" course is over

The course "Bayesian Data Analysis", conducted by the professor of the Faculty of Computer and Information Sciences of the University of Ljubljana Erik Strumbelj, has come to an end.

Elena Beylina is a laureate of the nominal scholarship of the Higher School of Economics named after V.A. Yadov

Congratulations to the student of the 1st year of the master's program "Applied Statistics with Social Network Analysis" Beylina Elena with the receipt of a scholarship of the Higher School of Economics named after V.А. Yadov.

Course "Categorical data analysis" is complited

Professor of the Eötvös Loránd University, Doctor of Sciences in Mathematics and Sociology, Tamas Rudas completed the course on categorical data analysis.

Application for the course of professor Tamas Rudas "Categorical data analysis" is opened

The International Laboratory for Applied Network Research starts a new format of educational programs - short-term courses in various areas of applied statistics and network analysis. Within such intensive courses lasting from 3 to 7 days everyone interested will be able to get acquainted with modern methods of analysis from leading experts in their fields. The first course will be held on November 29 - December 3, 2017.

Professor of the University of Ljubljana Vladimir Batagelj will offer several courses at the master's program of ANR-Lab

In November 2017, Vladimir Batagelj, a professor from the University of Ljubljana, will offer several courses at the master's program of ANR-Lab 'Applied Statistics with Social Network Analysis'. 

The student of the Master's program "Applied statistics with Social network analysis" has got the second place in Scientific battles of NRU HSE

The first year student of the Master's program "Applied statistics with Social network analysis" Elena Beylina has got the second place in the project "Scientific battles of the Higher School of Economics", which was held on November 2, 2017 in Yandex.

On the fifth Scientific battles the last participant of the final will be determined.

On November 2 in the office of Yandex will be the final qualifying stage of the Scientific battles of the Higher School of Economics. Among participants - a student of the program "Applied statistics with methods of network analysis" Elena Beylina. The event is open to all comers. Come cheer on!

Master’s program 'Applied Statistics with Social Network Analysis' has been successfully opened!

We are happy to announce the successful opening of our new Master’s program 'Applied Statistics with Social Network Analysis' – from September 1 there are 22 students in our team. On September 15-17, the first joint seminar of ANR-Lab employees and students took place at the NRU HSE educational center in Voronovo.

ANR-Lab`s Summer School on the foundations of network analysis

On July 24-28, 2017, International Laboratory for Applied Network Research has held the Eighth International Summer School «Theory and Methods of Network Analysis» (TMSA(II)-2017) on the foundations of network analysis.