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.
Why Data Analysis is worth studying today
Career opportunities in top companies in Russia and worldwide
Allows working remotely
A highly demanded job in a promising field
High salaries
What Data Analysts do
Test hypotheses
Conduct research
Process big amounts of information
Helps companies to make data-driven decisions
Data Analysts work in
IT companies and banks
Consulting and auditing companies
Government corporations and institutions
Universities and research facilities
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.
Why Data Analysis is worth studying today
Career opportunities in top companies in Russia and worldwide
Allows working remotely
A highly demanded job in a promising field
High salaries
What Data Analysts do
Test hypotheses
Conduct research
Process big amounts of information
Helps companies to make data-driven decisions
Data Analysts work in
IT companies and banks
Consulting and auditing companies
Government corporations and institutions
Universities and research facilities
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.
Why Data Analysis is worth studying today
Career opportunities in top companies in Russia and worldwide
Allows working remotely
A highly demanded job in a promising field
What Data Analysts do
Test hypotheses
Conduct research
Process big amounts of information
Data Analysts work in
IT companies and banks
Consulting and auditing companies
Government corporations and institutions
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
Senior Data Analyst
More than 3 years of experience
of 180 000 RUB
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
Introduction to Statistics
Programming in R and Python
Module 2
Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research
Applied Linear Models
Module 3
Contemporary Decision Sciences: an Integrated Perspective
Data Mining
Introduction to Network Analysis
Module 4
Contemporary Decision Sciences: an Integrated Perspective
Data Mining
Introduction to Network Analysis
Core subjects
Elective courses
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
Analysis of Covariance Models
Module 2
Methods of Statistical Consulting
Analysis of Covariance Models
Module 3
Multilevel Models
Bayesian Data Analysis
Module 4
Final project
Core subjects
Elective courses
Statistical Network Analysis Methods
Multilevel Models
Unstructured Data Analysis
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
Project seminar
Practical training
OUR TEACHERS
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 YOU WILL LEARN
ADMISSION CHECKLIST
Learn more about our program and your future profession below
Register and pass the entrance exam
Sign the contract
Start learning and become a qualified professional
and we will answer all your questions
File your application online via your Personal account
OUR STUDENTS SAY