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Financial Data Analytics and Sustainable Finance

MSc
Master of Science
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Data analytics and sustainable finance shape the future of global financial decision-making

STUDY FINANCIAL DATA ANALYTICS & SUSTAINABLE FINANCE AT EUC

The MSc in Financial Data Analytics and Sustainable Finance at EUC equips students with advanced knowledge in finance, economics and data analytics, with a strong focus on ESG (environmental, social and governance) principles. The programme prepares graduates to meet the demands of a digital, data-driven financial environment and to support sustainable decision-making across sectors.

As big data and new technologies transform the finance industry, there is a growing need for professionals who can analyse complex information and guide organisations toward long-term, responsible growth. Students gain essential skills in financial modelling, data analysis and sustainable finance practices, giving them a competitive edge in the global market.

The programme offers two specializations:

  • Corporate Finance – focusing on modern and sustainable corporate financial management.
  • Financial Markets – emphasising global markets, sustainable investment and risk analysis.

Graduates are prepared for careers in corporate finance, banking, investment, consulting, fintech, sustainability roles or for doctoral studies in the field.

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Program Summary

Languages: English
Duration:24 Months
Mode of Study:On Campus
ECTS:120

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The Master degree in Financial Data Analytics and Sustainable Finance is jointly offered by four universities:
  • University of Pardubice – Pardubice, Czech Republic (coordinating partner)
  • European University Cyprus – Nicosia, Cyprus
  • LUMSA University – Rome, Italy
  • Vilnius University – Vilnius, Lithuania
Students are required to begin their studies at the University of Pardubice (Czech Republic). The second semester is completed at European University Cyprus (Cyprus). During the third semester, students may choose to study either at LUMSA University (Italy) or Vilnius University (Lithuania). In the fourth semester, students may undertake their Master’s thesis at any of the partner universities.
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YEAR 1  
SEMESTER 1  
Code Course Title ECTS
FDA600 Economics and Financial Aspects of Innovation and Sustainability 5
FDA605 Principles of Artificial Intelligence and Machine Learning 5
FDA610 Applied Financial Econometrics 5
FDA615 EU Law and European Values 5
FDA620 Research Methods 5
FDA625 Principles of programming for R 5
FDA630 International Finance and Macroeconomics 5
SEMESTER 2  
Code Course Title ECTS
FDA635 Computational Finance 10
FDA640 Big Data Analytics in Finance 10
FDA645 Machine Learning in Finance 10
FDA650 Programming for Python 10
YEAR 2  
SEMESTER 3 - a) LUMSA (Specialisation Corporate Finance)  
Code Course Title ECTS
FCF610 Innovation in Banking and FINTECH 6
FCF620 Sustainable Finance and Investments 6
FCF630 Advanced Corporate Finance 8
FCF640 Ethics and Humanism in Digital Era 6
FCF650 Financial Risk Management 4
FCF655 Corporate Strategy and Sustainability 4
SEMESTER 3 - b) Vilnius University (Specialisation Financial Markets)  
Code Course Title ECTS
FFM610 Integrity and Ethics in Finance 5
FFM620 Behavioural Finance for Sustainable Development 5
FFM630 Technical Analysis of Financial Markets 5
FFM640 Investing for Environmental and Social Impact 5
FFM650 Financial Technologies and Alternative Investments 5
FFM655 Equity Securities 5
FFM660 Investment Portfolio Analysis 5
SEMESTER 4  
Code Course Title ECTS
FDA690 Master Thesis 30
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