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Gain comprehensive expertise in statistics and network data analysis — skills applicable in leading companies in Russia and globally.
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Data Analytics and Social Statistics

Recruitment is Open
Online
Full-time online master's degree HSE
FAQ
2025 year
Program starts
Fully Online
Format
2 years
Duration
State-recognized Diploma with a Supplement Translated into English
Relevance of the Program
Technology is becoming more complex, and data is growing exponentially. That is why today’s business world is in particular need of skilled professionals who can process and analyze data to solve business problems.

Network analysis complements data analysis perfectly: it provides a methodology for analyzing the interactions and behavioral patterns of companies and individuals.
What a Data Analysts Does
Tests hypotheses
Conducts research
Processes large amounts of information
Helps companies make data-driven decisions
IT corporations and banks
Where Our Graduates Work
Consulting and auditing firms
Government bodies and state corporations
Research centers and institutes
Salaries by Experience
from 70,000 ₽
Junior
from 120,000 ₽
Middle
up to 1 year of experience
1–3 years of experience
from 180,000 ₽
Senior
3+ years of experience
Career Opportunities
Graduates of the program may build careers in applied statistics and network analysis, and qualify for the following roles: Data Scientist, Data Analyst.
Sign Up for a Consultation
We'll contact you to discuss the program details and answer any questions you have - completely free of charge.
About HSE Online
HSE Online is the virtual campus of HSE University. We have over 30 years of experience in education and science, and over 10 years in online education.

Our faculty includes professors, researchers, and industry experts who combine academic and professional experience.
96%
Of students find jobs in their field during or immediately after graduation
Top-ranked
38
Online Higher Education Programs
More than 4700
Students
Award Winner
“Breakthrough of the Year”
“Best Youth-Oriented Project”
“Online University of the Year”
#1
Russian University according to HeadHunter Ranking
Gold in the international online education ranking
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About the Program
The first English-taught online Master’s programme in Applied Statistics in Russia

The curriculum is based on leading practices from Indiana University (USA) and the University of Ljubljana (Slovenia).

You’ll get deep training in the approaches and methods of network analysis. Courses are taught by experts from HSE and international specialists.
Advantages of Distant Learning
Theory on Your Schedule
Watch lectures anytime — at your own pace.
Evening Practical Classes
Practical seminars are held online on weekday evenings. Recordings are provided allowing you to conveniently combine study and work.
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2
Practice-Oriented Learning
The program includes seminars, analytics workshops, and project-based learning with real cases. You’ll complete more than 10 large-scale projects during your studies.
Mentorship and Personal Tracks
Choose your own track — either "Computational Social Science and Network Science" or "Applied Statistics and Data Science." Customize your schedule and learning intensity.
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4
Course Content
Module 1
Module 2
Module 3
Data Mining
Methodology and Logic of Sociological Research Design
Contemporary Decision Sciences: an Integrated Perspective
Contemporary Decision Sciences: an Integrated Perspective
Module 4
Compulsory Courses
Introduction to Statistics
Programming in R and Python
Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research
Applied Linear Models
Applied Linear Models
Introduction to Network Analysis
Probability Theory
Machine Learning
Exploratory Data Analysis*
Introduction to Text Mining with R*
Nonparametric Theory and Data Analysis*
Advanced Network Analysis Methods with Pajek
Categorical Data Analysis
Multivariate Data Analysis
Data collection from Web-scraping and API for social scientific research (In Russian)*
Term Paper
Research Seminars "Computational Social and Network Sciences" or "Applied Statistics and Data Science"
Mentor’s Seminar
Term Paper
Research Seminars "Computational Social and Network Sciences" or "Applied Statistics and Data Science"
Mentor’s Seminar
Term Paper
Research Seminars "Computational Social and Network Sciences" or "Applied Statistics and Data Science"
Mentor’s Seminar
Term Paper
Research Seminars "Computational Social and Network Sciences" or "Applied Statistics and Data Science"
Mentor’s Seminar
Electives
* Magolego Electives
Practical Work (Compulsory)
Module 1
Module 2
Module 3
Module 4
Compulsory Courses
Methods of Statistical Consulting
Stuctural Equation Modeling
Stuctural Equation Modeling
Unstructured Data Analysis
Time Series
Social Network Analysis with R*
Social Network Analysis with R*
Time Series
Unstructured Data Analysis
Stochastic Models
Bayesian Data Analysis
Multilevel Models
Principles and methods of sampling in empirical research*
Statistical Methods of Social Network Analysis
Research Seminar "Working with Network Data"
Project Seminar and working with projects
Mentor’s Seminar
Work Experience Internship
Graduation Master Thesis
Research Seminar "Working with Network Data"
Project Seminar and working with projects
Mentor’s Seminar
Research Seminar "Working with Network Data"
Project Seminar and working with projects
Mentor’s Seminar
Electives
* Magolego Electives
Practical Work (Compulsory)
Instructors
Vladimir Batagelj
Professor, INSNA Award Laureate, Pajek author and developer, founder of Network Analysis
Anuška Ferligoj
Professor, Laureate of INSNA Award and Slovenian Government Award, founder of Network Analysis
Nada Lavrač
Professor, Laureate of Slovenian Government Award
Ruslan Yusufov
Founder and managing partner, MINDSMITH
Ilya Karpov
HSE Faculty of Computer Science Senior lecturer, Junior research fellow of International Laboratory for Applied Network Research
Damjan Škulj
Ph.D in Mathematics
Ivan Klimov
Programme Academic Supervisor, Associate Professor for Department for Social Institutions Analysis HSE Faculty of Social Science
Daria Maltseva
Leading research fellow, Head of International Laboratory for Applied Network Research
Igor Goncharenko
Executive director of Marketing and Communications department, Sberbank
Skills After Graduation
How to Apply
Review the program curriculum
Sign up for a consultation to get answers to all your questions
Upload your documents to your personal account
Successfully pass the entrance exams
Sign the contract
Start learning and become a sought-after specialist
Student Testimonials
I am a doctor by education and I work in digital healthcare. I regularly encountered analytical challenges and realized I lacked mathematical tools. That’s what led me to pursue a master’s degree in mathematics.

I chose HSE not by chance—many of my friends and colleagues had studied here. The online format was ideal, allowing me to combine studies with my job. I especially appreciated the library: available 24/7, with resources both on-site and online.
Mikhail Meshkov
Doctor, Specialist in Digital Healthcare
I’ve been fascinated by data analysis for a long time, alongside my work in organizational psychology. I wanted to combine both passions, and this program gave me the opportunity I had been looking for.

From the very start, I knew this program was the right fit. It’s intense and allows you to explore different directions without being limited to just one. The online format didn’t scare me off — in fact, the flexibility was a huge advantage.

Study materials are always accessible, the content is in-depth, and
Maria Ermolaeva
Psychologist, Data Analyst
I currently collaborate in teaching and research activities at the Universidad Panamericana, Mexico, and I am also part of the master’s in applied statistics with network analysis program. From the start, my experience in this program has been positive, and the enrollment process is very friendly.

The program has a solid academic structure and a comprehensive approach beyond the simple transmission of theoretical concepts. It proposes a balanced combination of statistical theory, practical skills, and network analysis
Enrique Núñez
Lecturer at the University
Benefits of Online Master’s Degrees
Study and work simultaneously
Study from anywhere in the world
Practice-oriented approach
Military draft deferral
Flexible study format
Access to HSE’s online resources
Individual learning trajectory
Tax deduction
Sign Up for a Consultation
We’ll contact you to discuss the program details and answer any questions you have — completely free of charge.
Government-supported educational loans are available

Interest rate: from 3% per year
To learn more about our discounts, book a consultation
Total duration: 4 semesters
220 000 ₽
Tuition per semester
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