Master's Programme 'Data Analytics and Social Statistics'

2 years

Full-time programme
Online programme

ENG

Instruction in English

State Accreditation

Independent Quality Assessment

Russian government and HSE scholarships and tuition fee waivers not applicable

19 Feb18:00

DASS Webinar: "How to Create a Portfolio for Program Admission"

online

Partner Universities

University of Ljubljana

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 work

Flexible study schedule

online classes in the evening, access to recordings for the entire period of study

Individual trajectories

selection of track and courses to study, feedback from teachers

Best expertise

studying with leading Russian and foreign specialists

Deferment from the army

deferment from conscription for military service according to Russian legislation

Practical orientation

project-based learning based on real data and business problems

Student privileges

access to university infrastructure and facilities

Study in English

programme in English with a choice of electives in Russian

Programme opportunities

✔ Access to data analytics expertise

✔ Entrance to the professional community

✔ Access to university facilities

✔ Teaching students without a mathematical background

✔ Consultations with research fellows

✔ Practive in a scientific laboratoty

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

Start of an analyst's career

Opportunity to apply for positions as a data analyst, business analyst, consultant in government and corporate analytical centers, international companies

Start of academic career

Opportunity to engage in scientific research in the field of data analytics and network analysis in graduate school in an international laboratory in Russia or abroad

The programme allows students to become highly qualified practitioners who apply advanced complex data analysis techniques in various fields of knowledge (banking, insurance, consulting, IT, medicine, pharmaceuticals, sociology, marketing)

How the educational process is organized

✔ Asynchronous learning format (pre-recorded lectures)

✔ Scored and Ungraded Tests

✔ Access to all course materials for the entire period of study

✔ Synchronous format (online meetings in real time)

✔ Project assignments

✔ Term paper and master's thesis

Contents of the programme

Admission requirements

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

June 20

Start of documents acceptance

August 8

Deadline for documents acceptance

August 31

Deadline for signing documents for enrollment in the programme

Admission to the programme

Portfolio composition

15
points

Basic education

Compliance with the focus of the programme and the presence of a honors diploma are taken into account

20
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

Letters of recommendation (2 letters)

From professors, employers or industry representatives. One letter – 5 points

20
points

10
points

Certificates confirming knowledge
of the English language

15
points

News

Irina Pavlova on how to identify trends in science

Irina Pavlova, Academic Director of DASS and Deputy Head of ANR-Lab, discussed how bibliometric analysis helps scientists identify relevant research areas and discover fundamental scientific works.

January 22

ANR-Lab's Year in Review

Dear colleagues, we'd like to take stock of our work over the past 12 months and wish you a Merry Christmas and a Happy New Year! May 2026 bring you new discoveries, peace, and more reasons to celebrate, both in science and beyond!

Community Reporting an event International Laboratory for Applied Network Research

December 29, 2025

The DASS program was featured on RBC

A laboratory research fellow Anna Kartasheva spoke on the program "Day. Main," dedicated to the issues of the relationship between technical and humanities education.

Education mass media Reporting an event master's programmes International Laboratory for Applied Network Research

December 23, 2025

Networks all around us: how additional professional education course students improved their network analysis skills

Under the guidance of memners from the International Laboratory for Applied Network Research, the first graduating class of the advanced training program “Networks Around Us: How to Analyze Interaction and Influence Using Network Analysis Methods” was held.

Reporting an event short-term programmes International Laboratory for Applied Network Research

December 23, 2025

Data Analytics and Social Statistics

Contacts

Facts about the programme

Key Advantages

Programme opportunities

Two learning trajectories

Prospects after study

How the educational process is organized

Contents of the programme

Admission requirements

Higher education diploma

Knowledge of school math course

Confident English language skills

At the beginning of study we offer adaptation courses:

Admission to the programme

Key dates and deadlines

Admission to the programme

Portfolio composition

News

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