Master in Big Data Science (Finance Track) - Kozminski University

The Master in Big Data Science programme is an intensive two-year curriculum conducted entirely in English, specifically designed to prepare students for dynamic careers within the global finance industry. Beyond providing comprehensive financial knowledge, the programme equips students with essential practical skills—such as data identification, collection, advanced analysis, interpretation, and transformation—needed to overcome the challenges inherent in modern financial data management.

The curriculum places a strong emphasis on emerging trends at the intersection of finance and technology, including venture capital strategies and cloud computing. Furthermore, students are provided with the unique flexibility to specialize in Health Economics and Big Data Analytics, ensuring they are prepared to tackle data-driven challenges in both financial and healthcare markets.

Career Opportunities Graduates emerge with a unique blend of financial acumen and technical data expertise, enabling them to secure high-impact roles in a global job market, such as:

• Financial Data Scientist: Modeling massive datasets for financial institutions to forecast market trends and optimize strategic decision-making,
• Risk Analyst: Utilizing advanced big data techniques to assess credit risks, operational risks, and market fluctuations,
• FinTech Specialist: Leading the development of next-generation financial products through cloud computing and data-driven architectures,
• Health Economist & Data Analyst: Driving economic efficiency and cost-analysis projects within the healthcare sector using big data insights,
• Investment Strategist: Applying data-driven methodologies to identify opportunities and mitigate risks within venture capital and private equity firms.