2 years
Full-time programme
Online programme
Online programme
400 000 RUB/year
Tuition Fee in 2024
Russian government and HSE scholarships and tuition fee waivers not applicable
ENG
Instruction in English
Partner Universities
Facts about the programme
Has no analogues in Russia, the only programme on applied statistics and network analysis
Created on the basis of the International Laboratory for applied network analysis (ANR-Lab)
Classes are taught by Russian and foreign teachers – partners from the University of Ljubljana
Master's degree in the field of study 01.04.02 'Applied mathematics and computer science'
Based on the best practices for teaching applied statistics at Indiana University and the University of Ljubljana
The educational process is based on the expertise of academic research and applied projects
We train highly qualified practitioners who are able to apply advanced complex data analysis techniques in their daily work in various organizations in the public, commercial and scientific sectors
Key Advantages
Online programme with full-time status
the opportunity to study from anywhere in the world and combine it with workFlexible study schedule
online classes in the evening, access to recordings for the entire period of studyIndividual trajectories
selection of track and courses to study, feedback from teachers
Best expertise
studying with leading Russian and foreign specialists deferment from conscription for military service according to Russian legislation
Practical orientation
project-based learning based on real data and business problemsStudent privileges
access to university infrastructure and facilitiesStudy in English
programme in English with a choice of electives in RussianProgramme opportunities
Two learning trajectories
When enrolling in the programme, we will help you design your individual plan and choose courses to follow your educational path:
Computational Social and Network Sciences
is devoted to the study of actively developing quantitative methods in the social sciences, including network analysis
Applied Statistics and Data Analytics
is devoted to the study of advanced methods of mathematical statistics and data sciences
Prospects after study
How the educational process is organized
Contents of the programme
Admission requirements
Higher education diplomaat least bachelor's degree, uploaded to portfolio |
Knowledge of school math courseno confirmation required |
Confident English language skillsconfirmation by documents in portfolio and participation in interview |
At the beginning of study we offer adaptation courses:
- Introduction to Statistics
- Introduction to R and Python Programming
Admission to the programme
Key dates and deadlines
April 1
Start of documents acceptance
September 16
Deadline for documents acceptance
September 23
Deadline for signing documents for enrollment in the programme
Portfolio composition
15
points
points
Basic education
Compliance with the focus of the programme and the presence of a honors diploma are taken into account
20
points
points
Motivation letter
Approximate content: previous education, motivation for enrolling in a master's programme, a story about current employment, what areas of development you are interested in, what you want to learn in the programme
10
points
points
Letters of recommendation (2 letters)
From professors, employers or industry representatives. One letter – 5 points
20
points
points
CV
10
points
points
TOEFL, IELTS
Or equivalent
15
points
points
Other documents
Experience in project and scientific activities, publications, grants (including a diploma of a winner or prize-winner of the Olympiad for students and graduates of the National Research University Higher School of Economics in related fields)
10
points
points
Interview
Conducted in English
Tuition fees for 2024
Per term
200 000 ₽
200 000 ₽
Payment is made by term
Per year
400 000 ₽
400 000 ₽
INSTALLMENT
Possibility to get tuition fees
in installments in several payments
in installments in several payments
PAYMENT BY EMPLOYER
Possibility of a tripartite agreement with the employer paying for the cost of study
PAYMENT WITH MATERNITY CAPITAL
Possibility of paying for education
using maternity capital
using maternity capital
News
ANR-Lab team gave presentations on the laboratory's ongoing research at the Sunbelt conference's online panel.
Research & ExpertiseReporting an eventinternational cooperationInternational laboratory for Applied Network Research
July 03
The webinar demonstrated examples of successful network visualizations, as well as pros and cons of different visualization programs. The webinar was conducted by Irina Pavlova, Deputy Head of ANR-Lab and DASS professor.
June 24
June 17
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