| Study Location | Kyiv |
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| Academic Field | C1 Economics and lnternational Economic Relations |
| Type | Postgraduate, Full time (on-line study is available) |
| Nominal Duration | 1,4 years (90 ECTS) |
| Study Language | English |
| Awards | Masters of Economics and lnternational Economic Relations |
| 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. |
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| Territory requirements | Citizens of the Russia, Iran, Belarus and North Korea are not allowed. |
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| Language Requirements | English (B1/B2) |
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Entrance Exam Description
Subjects of the exam: English Language, specialty exam.
Program Structure
The curriculum develops advanced analytic and research competencies through a combination of theoretical and practical subjects:
1. Core Analytic Foundations
Students gain mastery of analytical methods and economic frameworks: Applied economic theory and modelling; Economic forecasting and optimisation; Quantitative methods for economic research; Data management and analysis frameworks.
These subjects provide the quantitative backbone for real‑world economic problem‑solving.
2. Advanced Data Analytics & Tools
Focused on analytics technologies and techniques: Time‑series analysis and econometrics; Big data analytics and machine learning basics; Software platforms for economic modelling (e.g., R, Python, advanced Excel); Data visualisation and reporting.
This component equips students with modern tools used in professional analytics practice.
3. Strategic Economic Decision‑Making
Students learn how to apply analytic results to strategic contexts: Business forecasting and scenario analysis; Competitive and market analytics; Pricing and optimisation strategies; Policy impact assessment.
These subjects build the ability to influence decisions and strategy based on solid data insights.
4. Practical Case Studies & Projects
Hands‑on work is a key feature: Real case studies with economic datasets; Team analytics projects involving modelling and interpretation; Collaborative problem solving using simulated business scenarios.
These activities strengthen practical capabilities and prepare students for real professional challenges.
5. Master’s Thesis
The programme culminates in an independent Master’s thesis project, where students conduct a comprehensive analytic study that integrates knowledge, quantitative methods and professional judgement. This capstone demonstrates the ability to address complex economic or business questions using advanced analytics.
Overview
The program designed to train highly qualified specialists who can apply advanced analytical methods and tools to solve economic and business problems in data‑driven environments.
The programme prepares graduates to work at the intersection of economic theory, quantitative analytics, big data and decision‑making, enabling them to support organisations with competitive insights, forecasting, optimisation and strategic planning.
Career Opportunities
Graduates of the Economic Analytics Master’s programme are equipped with skills highly valued across sectors. Typical career pathways include:
- Economic Data Analyst – analyse economic trends and interpret complex datasets;
- Business Intelligence Specialist – extract insights to support strategic decisions;
- Quantitative Analyst (Quant) – develop models for forecasting and optimisation;
- Market and Competitiveness Analyst – monitor market dynamics and competitor behaviour;
- Policy and Economic Research Analyst – support public and private research initiatives;
- Financial Planning & Analysis (FP&A) Expert – prepare forecasts and performance metrics;
- Consultant in Data‑Driven Strategy – advise organisations on analytics‑based solutions.
These roles are relevant in consulting firms, financial institutions, public policy organisations, multinational corporations, tech companies and research centres where advanced analytics is essential.