Charles University

Overview

The Master in Finance and Data Analytics (MFDA) at Charles University combines advanced finance with modern data analytics. You will learn how to model financial markets, extract insights from large datasets, and apply statistical learning to real-world investment and risk problems.

Key facts

The programme focuses on quantitative methods used in contemporary finance, including econometrics, time-series analysis, and machine learning. You will also develop practical programming and data-handling skills for working with big data, supporting tasks such as asset pricing analysis, forecasting, and empirical evaluation of financial models.

Teaching is delivered by academic staff and invited professionals, including experts from international institutions, central banks, and the financial industry. This blend helps you connect theory with current market practice and research-oriented problem solving.

By the end of the MFDA, you should be able to conduct advanced quantitative analysis of financial data, justify modelling choices, and communicate results clearly for academic or professional settings.

• Programme level: Master’s
• Focus: Finance, econometrics, statistical learning, time-series analysis, and big data
• Delivery: University-based study (format to be confirmed by the university)
• Credits: ECTS credits (to be confirmed by the university)
• Language of instruction: English (to be confirmed by the university)
• Tuition fees: Fees vary by applicant category (check Charles University for the latest information)
• Application: Submit an online application via the university’s admissions portal
• Start dates: Typically aligned with the academic year (exact dates to be confirmed by the university)

Programme Structure

Core coursework builds your quantitative foundation and your ability to apply analytics to finance. The programme includes modules covering both theoretical and applied methods.

• 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 / final assessment: The programme typically includes a final academic assessment (e.g., thesis or equivalent final project). Please confirm the exact format and requirements with Charles University.

Work Permits

After completing your studies, you may be eligible to apply for a post-study work permit/long-stay residence permit, depending on the rules in your host country and your individual circumstances. For graduates of programmes in Czech Republic, eligibility and timelines are governed by Czech immigration law and the current policy of the Ministry of the Interior.

• Typical purpose: to allow graduates to remain in the country to seek employment or start working after graduation.
• Duration: the permitted stay length varies by the type of residence/work authorisation granted and the current legal framework.
• Common eligibility factors: successful completion of the degree, valid residence status at the time of application, and meeting any documentation requirements (e.g., proof of graduation).
• Employment conditions: some authorisations require you to have a job offer or to meet specific employment criteria; others may allow job searching for a limited period.

Important: immigration rules can change. Always verify the latest requirements with the relevant Czech authorities or your university’s international office before applying.