Charles University

Overview

The Master in Finance and Data Analytics (MFDA) at Charles University offers a unique integration of advanced finance and cutting-edge data analytics. This program equips students with the skills to model financial markets, derive insights from extensive datasets, and employ statistical learning techniques to tackle real-world investment and risk challenges.

What you'll study

The curriculum emphasizes quantitative methods essential in modern finance, encompassing econometrics, time-series analysis, and machine learning. Students will also acquire practical programming and data-handling competencies necessary for big data applications, facilitating tasks such as asset pricing analysis, forecasting, and empirical financial model evaluation.

Instruction is provided by a combination of academic faculty and industry professionals, including experts from international organizations, central banks, and the financial sector. This approach fosters a strong link between theoretical concepts and current market practices, enhancing research-oriented problem-solving skills.

Upon completion of the MFDA, graduates will be capable of performing advanced quantitative analyses of financial data, substantiating their modeling choices, and effectively communicating their findings in both academic and professional environments.

• Core Modules:
  • Big Data Analysis
  • Modern Approaches to Asset Pricing Using Statistical Learning
  • Financial Instruments and Market Data
  • Advanced Econometrics
  • Behavioural Finance and Time Series Analysis
  • Applied Microeconometrics
• Capstone Assessment: The program culminates in a final academic assessment, which may include a thesis or equivalent project.

Entry requirements

Applicants are generally expected to possess a robust quantitative background, typically including foundations in mathematics and statistics. A relevant bachelor’s degree in fields such as economics, finance, mathematics, statistics, computer science, or a closely related discipline is usually required.

English proficiency is essential, and applicants may be asked to provide proof through standardized tests. Acceptable scores typically include:

• IELTS: minimum 6.5
• TOEFL iBT: minimum 83
• PTE Academic: minimum 56
• Duolingo English Test: minimum 120

Alongside the application form, applicants are typically required to submit:

• Proof of previous studies
• Transcript of records and academic results
• Structured CV

Career prospects

Graduates of the MFDA program are well-prepared for diverse roles in finance and data analytics. The skills acquired throughout the course enable them to pursue careers in investment banking, risk management, financial consulting, data analysis, and various positions within financial institutions and corporations. The blend of finance expertise and data analytical skills makes them valuable assets in today's data-driven financial landscape.