| Study Location | Kyiv |
|---|---|
| Academic Field | C5 Sociology |
| Type | Postgraduate, Full time (on-line study is available) |
| Nominal Duration | 1,4 years (90 ECTS) |
| Study Language | English |
| Awards | Master of Sociology |
| Entry qualification | Bachelor's Degree is required. Compulsory entrance exam. The entry qualification documents are accepted in English. In most cases you can request a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original & legalized (according to the international agreements) entry qualification documents along with you when you finally enter the university. |
|---|
| Territory requirements | Citizens of the Russia, Iran, Belarus and North Korea are not allowed. |
|---|
| Language Requirements | English (B1/B2) |
|---|
Entrance Exam Description
Subjects of the exam: English Language, specialty exam.
Program Structure
The curriculum is designed to build deep analytical and research skills through integrated subjects, practical work and applied projects:
1. Analytic Foundations and Research Methods
Students develop solid analytical and methodological knowledge, including: Advanced statistics and probability for social analytics; Research design, sampling and survey methods; Qualitative and quantitative data analysis; Data ethics and governance.
These courses build the foundation needed to analyse complex social data responsibly and rigorously.
2. Applied Data Science and Tools
This component focuses on practical skills and tools used in modern data analysis: Data collection, cleaning, transformation and integration; Database systems and big data technologies; Data visualisation and interpretation; Social network and pattern analysis.
These subjects link theoretical knowledge with hands‑on application of industry‑standard technologies and software.
3. Domain‑Specific Social Analytics
Students explore analytic approaches tailored to social and behavioural contexts: Public opinion and behaviour analytics; Digital sociology and social media data analysis; Urban, demographic and policy analytics; Evaluation of social programmes and interventions.
This helps graduates apply analytics to real social challenges across domains.
4. Case Studies & Project‑Based Learning
Practical, hands‑on components include: Social data analysis projects using real datasets; Cross‑disciplinary teamwork and collaborative problem solving; Applied analytics in policy, research or business simulations.
These activities strengthen both technical and professional skills required in analytical roles.
5. Master’s Thesis
The programme concludes with an independent Master’s thesis project, where students integrate theoretical knowledge, analytic methods and practical tools to address a significant social data challenge. This capstone project demonstrates the ability to apply analytics to complex, real‑world problems and produce actionable insights.
Overview
The program designed to train specialists who can extract insights from complex social and behavioural data, apply analytical methods to real‑world problems, and support evidence‑based decision‑making in organisations, policy, research and business contexts.
This programme focuses on the intersection of data science, social analytics, research methods, and digital tools, preparing graduates to work with large data sets, social indicators, behavioural trends and analytical models that are crucial for organisations addressing modern societal challenges.
Career Opportunities
Graduates of the Social Data Analytics Master’s programme are equipped for a wide range of analytical and strategic roles in both public and private sectors, including:
- Social Data Analyst – analyse data to reveal social and behavioural patterns;
- Policy and Impact Analyst – support government or NGO decision‑making with evidence;
- Business Intelligence Specialist (Social Sector) – provide insights on audience, community, market or public engagement;
- Data‑Driven Research Consultant – advise on analytics strategies for research and evaluation;
- Public Sector Analyst – work with social indicators and governance systems;
- Social Research and Monitoring Specialist – design, conduct and interpret social data research.
These competencies are valuable in government bodies, non‑profit organisations, research institutes, consultancies, public health, community studies, marketing research and education analytics — sectors where data is used to understand and influence social dynamics.