Charles University

Overview

The Finance and Data Analytics Master's program at Charles University integrates advanced financial concepts with contemporary data analytics techniques. Students will acquire the skills necessary to model financial markets through statistical methods, econometrics, and machine learning, while gaining a solid foundation in programming for real-world data applications.

What you'll study

This comprehensive curriculum encompasses a variety of essential topics, equipping students for quantitative roles in finance and enhancing data-driven decision-making capabilities. Key areas of focus include:

• Financial Markets
• Financial Econometrics
• Applied Econometrics
• Advanced Econometrics
• Data Processing in Python
• Data Science with R
• Big Data / Large-scale Data Analysis
• Asset Pricing & Statistical Learning
• Time Series Analysis
• Behavioural Finance

The program typically culminates in a master's thesis or a significant final research project, allowing students to apply their knowledge in a practical context.

Entry requirements

There are no specific GRE, GMAT, or GPA grading score requirements for this program. However, prospective students are encouraged to review any additional admission criteria outlined by the university.

Career prospects