1st October, 2023
Full-time, 100% online
Start
Format
2 academic years
Duration
Full-time online Master’s degree
APPLIED STATISTICS WITH NETWORK ANALYSIS
Gain sought-after skills and knowledge, valued by leading employers in Russia and worldwide
RECRUITMENT IS CLOSED
ENG
ONLINE
Official Master’s diploma with supplement in English
WHY DATA ANALYSIS IS RELEVANT
Technologies keep getting more and more complex, and there is more and more data. Therefore, this field has a desperate need for competent professionals who can process and analyze data to solve business tasks.

Network analysis completes data analysis perfectly by providing a methodology to analyze systems of interactions and behavioral particularities of companies and people.
A highly demanded job in a promising field
Allows working remotely
Career opportunities in top companies in Russia and worldwide
Why Data Analysis is worth studying today
Process big amounts of information
Conduct research
Test hypotheses
What Data Analysts do
Government corporations and institutions
Consulting and auditing companies
IT companies and banks
Data Analysts work in
High salaries
Universities and research facilities
Helps companies to make data-driven decisions
WHY DATA ANALYSIS IS RELEVANT
Technologies keep getting more and more complex, and there is more and more data. Therefore, this field has a desperate need for competent professionals who can process and analyze data to solve business tasks.

Network analysis completes data analysis perfectly by providing a methodology to analyze systems of interactions and behavioral particularities of companies and people.
A highly demanded job in a promising field
Allows working remotely
Career opportunities in top companies in Russia and worldwide
Why Data Analysis is worth studying today
What Data Analysts do
Data Analysts work in
Process big amounts of information
Conduct research
Test hypotheses
IT companies and banks
Consulting and auditing companies
Government corporations and institutions
Universities and research facilities
High salaries
Helps companies to make data-driven decisions
WHY DATA ANALYSIS IS RELEVANT
Technologies keep getting more and more complex, and there is more and more data. Therefore, this field has a desperate need for competent professionals who can process and analyze data to solve business tasks.

Network analysis completes data analysis perfectly by providing a methodology to analyze systems of interactions and behavioral particularities of companies and people.
A highly demanded job in a promising field
Allows working remotely
Career opportunities in top companies in Russia and worldwide
Government corporations and institutions
Consulting and auditing companies
IT companies and banks
Why Data Analysis is worth studying today
What Data Analysts do
Data Analysts work in
Process big amounts of information
Conduct research
Test hypotheses
High salaries
Universities and research facilities
Helps companies to make data-driven decisions
EMPLOYERS SEEK DATA ANALYSIS EXPERTS
Junior Data Analyst
< 1 year of experience
of 70 000 RUB
Middle Data Analyst
1-3 years of experience
of 120 000 RUB
of 180 000 RUB
More than 3 years of experience
Senior Data Analyst
WORK IN THE LEADING BUSINESSES
Our graduates can pursue their careers in Applied Statistics and network analysis as Data Scientists and Data Analysts in the following companies:
REQUEST A FREE CONSULTATION
ABOUT HSE
1 place
Forbes Russian university ranking
TOP-70
THE Emerging Economics University Ranking
3rd place
demand for graduates RAEX ranking
ABOUT HSE
ABOUT OUr PROGRAM
Applied Statistics with Network Analysis is Russia's first online Master's degree in Applied Statistics fully taught in English. Our courses are based on best practices from Indiana University and Illinois University in the USA.

The program offers in-depth learning of instruments for network analysis. Courses are taught by HSE experts and international professionals.
Last academic year, students ranked the course content 4,4/5* and teaching 4,1/5*
*According to student assessment of the teaching process
LEARNING PROCESS
Flexible learning
You can watch pre-recorded lectures at your own pace at any time of your convenience
Comfortable learning schedule
Real-time classes take place in weekday evenings and on Saturdays, the recordings are available afterwards
Full-time access to resources
All course materials will be available for the whole duration of the programme.
Practice-oriented approach
Our program includes seminars, analytical workshops and project work with real-life cases. In total, you will complete more than 10 major projects while studying in the program
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Custom learning tracks
You can control the intensity of your learning process and choose your track between Business analytics and Computational social science
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CURRICULUM
Module 1
Module 2
Module 3
Module 4
Core subjects
Elective courses
Introduction to Statistics
Programming in R and Python
Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research
Applied Linear Models
Contemporary Decision Sciences: an Integrated Perspective
Data Mining
Introduction to Network Analysis
Contemporary Decision Sciences: an Integrated Perspective
Data Mining
Introduction to Network Analysis
Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research
Probability Theory
Applied Linear Models
Probability Theory
Exploratory Data Analysis
Advanced Network Analysis Methods
Machine Learning
Nonparametric Theory and Data Analysis
Advanced Network Analysis Methods
Machine Learning
Nonparametric Theory and Data Analysis
Categorical Data Analysis
Multidimensional Data Analysis
Project
Research seminar «Computational social and networking sciences» or «Application of theoretical methods in business analytics and network analysis»
Project
Research seminar «Computational social and networking sciences» or «Application of theoretical methods in business analytics and network analysis»
Project
Research seminar «Computational social and networking sciences» or «Application of theoretical methods in business analytics and network analysis»
Project
Research seminar «Computational social and networking sciences» or «Application of theoretical methods in business analytics and network analysis»
Adaption courses
Practical training
Module 1
Module 2
Module 3
Module 4
Core subjects
Elective courses
Analysis of Covariance Models
Analysis of Covariance Models
Multilevel Models
Bayesian Data Analysis
Unstructured Data Analysis
Final project
Statistical Network Analysis Methods
Multilevel Models
Unstructured Data Analysis
Social Network Analysis with R
Bayesian Data Analysis
Unstructured Data Analysis
Unstructured Data Analysis
Social Network Analysis with R
Research seminar «Working with Network Data»
Project seminar
Research seminar «Working with Network Data»
Project seminar
Research seminar «Working with Network Data»
Project seminar
Practical training
Project seminar
Methods of Statistical Consulting
OUR TEACHERS
Professor, INSNA Award Laureate, Pajek author and developer, founder of Network Analysis
Vladimir Batagelj
Professor, Laureate of INSNA Award and Slovenian Government Award, founder of Network Analysis
Anuška Ferligoj
Professor, Laureate of Slovenian Government Award
Nada Lavrač
Founder and managing partner, MINDSMITH
Ruslan Yusufov
HSE Faculty of Computer Science Senior lecturer, Junior research fellow of International Laboratory for Applied Network Research
Ilya Karpov
Ph.D in Mathematics
Damjan Škulj
Leading research fellow, Head of International Laboratory for Applied Network Research
Daria Maltseva
Executive director of Marketing and Communications department, Sberbank
Igor Goncharenko
Programme Academic Supervisor, Associate Professor for Department for Social Institutions Analysis HSE Faculty of Social Science
Ivan Klimov
SKILLS YOU WILL LEARN
ADMISSION CHECKLIST
and we will answer all your questions
Start learning and become a qualified professional
Sign the contract
Register and pass the entrance exam
File your application online via your Personal account
Learn more about our program and your future profession below
OUR STUDENTS SAY
I can safely say that the last two years have been one of the most exciting ones in my life, and MASNA has fully met my expectations. The knowledge base has been enriched considerably, and I’m already looking forward to applying it in pra