Bachelor’s in Economic Data Science

NA On Campus Bachelors Program

University of Economics Prague

Program Overview

The Economic Data Science programme is a three-year full-time Bachelor's degree taught entirely in English at the Faculty of Informatics and Statistics (FIS). This program equips you with the skills to not only interpret data but also delve deeper using advanced statistical and econometric techniques, preparing you for important and well-paid positions in companies or the public sector where data-driven decisions shape strategy.

Curriculum Structure

First Year

Your foundation begins with essential mathematical and programming skills that underpin all data science work. You'll start with Mathematics for Economists and R and SQL for Data Analysis, giving you hands-on experience with the programming languages industry demands. Alongside this, you'll explore Principles of Economics: Theory and Data I to understand the economic context behind the numbers you'll analyze, plus Philosophy of Science to develop the critical thinking skills that distinguish great analysts from those who simply crunch numbers.

Second Year

In your second year, you move into more sophisticated analytical territory. You'll take Probability and Mathematical Statistics I, Real Data Analysis, and Regression Modelling — courses that teach you to extract meaningful insights from complex datasets. This is where theory meets practice: you'll learn to build models that predict economic trends and solve real business problems, supported by practical skills in Data Analysis in Python and Business Intelligence Fundamentals.

Third Year

Your final year brings specialization and depth. You'll engage with advanced topics like Machine Learning 1 and 2, Quantitative Methods in Economics, and Development Economics, allowing you to explore areas that genuinely interest you. You'll also complete your Bachelor's Thesis, where you apply everything you've learned to a real research question, culminating in your final state exams.

Focus Areas

Data Science, Statistics, Econometrics, Data Analysis, and Critical Thinking — these five pillars ensure you graduate as a well-rounded analyst capable of handling whatever data challenges come your way.

Learning Outcomes

Graduates are specially qualified for positions where data analysis and economic indicator interpretation are required and can work with various data sources across sectors. You'll develop the ability to evaluate data with precision and analyze it deeply, equipping you to make decisions at the highest level in corporate or public sector roles.

Professional Alignment

Upon graduation, you'll be prepared for roles as an Economic Data Scientist, Business Analyst, Economic Data Manager, or Economic Data Consultant. The programme also opens pathways to graduate study — FIS offers two Master's programmes where Economic Data Science graduates can continue: Economic Data Analysis or Information Systems Management.

Reputation

The Faculty of Informatics and Statistics occupies a leading position in the field of statistics, economic statistics, and econometrics in the Czech Republic. EDA graduates specifically are qualified for positions in strategic, analytical, and research departments of commercial and central banks, national and international statistical institutes, consulting companies, financial institutions, government bodies, and large industrial firms.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Economic Data Science programme at the Faculty of Informatics and Statistics gain hands-on experience working with real data and analytical tools from the very beginning. You won’t just learn theory — you’ll actively apply your skills to solve real economic and statistical problems. The curriculum emphasizes practical data analysis using industry-standard software like R and SQL, while also building teamwork, problem-solving, and modelling skills that employers highly value.

Courses focus on practical skills such as Data Analysis, Exploratory Data Analysis, and Real Data Analysis, allowing you to work directly with datasets and programming tools.
Students work on group projects and case studies, such as Econometric Modelling and Data Science cases, where real datasets are analysed collaboratively.
There are opportunities to participate in study abroad programs in the second or third year, giving you international experience and exposure to global perspectives.
Elective courses include Machine Learning and Programming for Data Science in Python, reinforcing hands-on, in-demand technical skills.
The faculty hosts career events and maintains industry partnerships, providing chances to explore internships, network with professionals, and gain real workplace experience while studying.

Progression & Future Opportunities

Graduates from the Bachelor’s programme in Economic Data Science at Prague University of Economics and Business leave with a strong combination of economic knowledge and practical data science skills that are highly sought after in both the public and private sectors. Typical roles include Data Analyst, Econometrician, Statistician, and Business Intelligence Specialist. With these competencies, you’ll be ready to step confidently into analytical, data-driven careers or continue your studies at a higher level.

Progression & Future Opportunities:

University career support: VŠE’s Career Centre and faculty career events help you connect with employers through job fairs, workshops, and personal consultations. These services guide you toward internships and roles that match your skills and ambitions.
Employment outcomes: The programme’s focus on practical data analysis and modern tools like R, SQL, and Python prepares graduates for positions where analytical thinking and data literacy are essential. Graduates from data-focused fields typically enjoy competitive starting salaries.
Industry engagement: The faculty maintains strong links with banks, insurance companies, research organisations, consultancy firms, and public institutions, giving students opportunities to apply skills in real-world settings and build professional networks.
Accreditation value: VŠE is recognised as one of Central Europe’s leading economics universities. Its accredited programmes signal quality and relevance to employers worldwide, enhancing employability and career mobility.
Graduate versatility: With skills in econometrics, modelling, analytics, and programming, graduates can pursue careers in finance, consulting, public policy, market research, logistics, technology firms, and more.

Further Academic Progression:

After completing the bachelor’s in Economic Data Science, you can continue your studies in master’s programmes at VŠE, such as quantitative economics or economic data analysis, to deepen your expertise and access advanced career opportunities. International postgraduate options in data science, statistics, or economics are also possible, as are professional certifications in analytics or modelling to further strengthen your career prospects.