Master's Programme 'Data Analytics and Social Statistics'

2 years

Full-time 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

State Accreditation

Independent Quality Assessment

25 Nov15:00

ANR-Lab Open Seminar "ANR-Lab at the hackathon "Organization and People: Current Challenges and Development Vectors""

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

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

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

TOEFL, IELTS

Or equivalent

15
points

Tuition fees for 2024

Per term
200 000 ₽

Payment is made by term

Per year
400 000 ₽

DISCOUNTS

Possibility to get a discount
on several grounds

Details

LOAN FROM SBERBANK

Opportunity to obtain
an educational loan
with government support

Details

TAX DEDUCTION

Opportunity to apply
for a social tax deduction
for educational expenses

Details

INSTALLMENT

Possibility to get tuition fees
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

News

Meetup 'Local Meetings and Global Connections'

On November 9, a hybrid meetup was held by the International Laboratory for Applied Network Research (ANR-Lab) and the Master's programme 'Data Analytics and Social Statistics' (DASS). The event brought together students and graduates of the DASS (ex-MASNA) master's programme, team and friends of the laboratory to discuss how the programme is doing and what opportunities for collaboration exist.

On Campus professors ideas & experience students Reporting an event international cooperation master's programmes International Laboratory for Applied Network Research

November 19

Best DASS Courses

Eight courses in the Master's programme 'Data Analytics and Social Statistics' were recognized as the best by students of the 2023-2025 cohort.

Education achievements Officially master's programmes

October 25

Anna Kartasheva explained why it is profitable to build networks.

In the new episode of '+/- 10 minutes,' Anna Kartasheva, PhD in Philosophy, research fellow at the International Laboratory of Applied Network Research at the HSE University, and director of the publishing house 'Business Book,' explained why it is profitable to build networks, what systemic distortions of technologies exist, how they work, why quality content does not always get many views and likes, and what is the difference between echo chambers and filter bubbles.

Research & Expertise ideas & experience International Laboratory for Applied Network Research

October 18

Start of the school year on the DASS programme

The Data Analytics and Social Statistics (DASS) academic year has begun!

Education Reporting an event master's programmes

October 14

More news

Other Master’s Programmes

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

Portfolio composition

Tuition fees for 2024

News

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