Bachelor's in Economic Data Analysis and Mathematical Modeling

3 Years On Campus Bachelors Program

University of Economics Prague

Program Overview

The Bachelor's in Economic Data Science (B-EDS) at the University of Economics Prague (VŠE) equips you with cutting-edge skills in data analysis, statistics, and economic modeling to turn real-world data into actionable insights—perfect if you're passionate about numbers, economics, and tech-driven careers like data analyst or policy advisor. This full-time, three-year English-taught program builds a strong foundation for high-demand roles in finance, government, and consulting, blending rigorous math with practical tools like R and SQL that employers love.

Curriculum Structure
Year 1 dives into the essentials, giving you a solid base in economic data and math to kickstart your analytical journey. You'll tackle Description and Comparison of Economic Data (4ES103) to master how to interpret key indicators, Mathematics for Economists (4MM151) for the quantitative backbone, and R and SQL for Data Analysis (4ST607) to get hands-on with programming right away—setting you up to handle data like a pro from day one. Courses like Principles of Economics: Theory and Data I (4ES104) and Philosophy of Science (4SA369) round it out, blending theory with critical thinking.

Year 2 ramps up with advanced tools for deeper analysis, focusing on how data drives economic decisions. You'll explore Regression Modelling (4EK621) and Econometric Modelling (4EK631) to build predictive models, alongside Data Analytics Fundamentals (4IT338) for practical skills in processing big datasets. Add in Development Economics (4ES201) and External Data and Information Sources (4IT349), and you're learning to source, analyze, and apply data to global challenges with confidence.

Year 3 sharpens your expertise for real-world impact, culminating in your thesis and policy-focused projects. Courses like Data-Driven Policy Analysis (4ES603) and Empirical Macroeconomics (4ES301) teach you to use data for economic forecasting, while Bachelor's Thesis Seminar (4ES303) guides your capstone work. You'll also cover Exploratory Data Analysis (4ST626) and electives like Managerial Economics (3MI807), preparing you to graduate ready to influence business and policy with evidence-based strategies.

Focus areas: Statistics, econometrics, data modeling, economic prognosis, and programming (R, SQL, Python).

Learning outcomes: Proficiency in regression, exploratory data analysis, econometric modeling, and data-driven decision-making; ability to handle economic datasets, forecast trends, and communicate insights—earning you the Ing. (engineer) degree recognized across Europe.

Professional alignment (accreditation): Fully accredited by the Czech Ministry of Education, aligned with ECTS standards for seamless EU mobility; prepares graduates for roles in banks, statistical offices, consulting, and government via practical skills matching industry needs like official statistics and operations research.

Reputation (employability rankings): VŠE's Faculty of Informatics and Statistics boasts strong employability, with EDA-related Master's grads landing jobs in top banks and EU stats agencies—building on the faculty's excellence in econometrics and data science, as reflected in its specialized PhD programs and research output.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Economics Prague's Faculty of Informatics and Statistics, our Bachelor's in Economic Data Analysis and Mathematical Modeling immerses you in hands-on learning right from the start, building real-world skills through courses that blend theory with practical application using industry-standard tools and data sets. You'll dive into analyzing economic data, running regressions, and modeling scenarios with software like R, SQL, Python, and Excel, all in interactive 90-minute lectures and seminars designed to mimic professional workflows. This approach ensures you're not just studying concepts—you're applying them to solve actual economic problems, preparing you for roles in banks, statistical institutes, and consulting firms.

Here are some standout ways our program delivers experiential learning tailored to economic data analysis:
- Software and digital tools training: Master R and SQL for Data Analysis (6 ECTS), Excel Skills for Business (3 ECTS), Programming for Data Science in Python (6 ECTS), and courses like Computational Methods and Data Analysis (6 ECTS) and Real Data Analysis (6 ECTS), using live economic datasets for hands-on coding and visualization.
- Group projects and collaborative analysis: Engage in team-based work through seminars on Regression (6 ECTS), Machine Learning 1 & 2 (6 ECTS each), and Exploratory Data Analysis (3 ECTS), where you'll tackle real-world problems like economic forecasting and multicriteria decision-making.
- Internship opportunities: While building toward advanced options, the program's foundation leads into compulsory internships like those in the State Statistical Service (21 ECTS in related Master's tracks), giving undergrads a pipeline to practical placements in statistical offices.
- Access to research labs and institutes: Work in facilities supported by the Department of Econometrics, with exposure to modeling economic processes, operations research, and tools for simulation models—plus top-notch software and literature for your projects.
- Data-focused events and field exposure: Participate in intensive weeks like I-Week, analyzing public economic data sources (e.g., growth, unemployment) and presenting findings in charts, building confidence for professional data handling.

Imagine graduating with the Ing. degree, ready to lead in data-driven economics—this program is your direct path. Applications are open; let's get you started today.

Progression & Future Opportunities

Graduates from the Bachelor’s programme in Analýza ekonomických dat a matematické modelování at Prague University of Economics and Business become highly sought-after professionals who combine analytical skills with economic insight, preparing them for dynamic careers in data analysis, modelling, and decision support. Typical roles include Data Analyst, Statistician, Econometrician, and Optimization Specialist.

Progression & Future Opportunities:

Career support services: VŠE’s Career Centre and faculty events, such as job fairs and partner recruitment days, help students find internships and full-time positions. Many students already gain relevant work experience during their studies, improving employability.
University–industry partnerships: The faculty maintains strong links with banks, insurance companies, research organisations, consultancy firms, and public institutions, giving students opportunities to engage with real employers and build professional networks.
Employment outcomes: Graduates secure positions in financial institutions, public organisations, research centres, logistics companies, and policy analysis teams where analytical and economic modelling skills are essential.
Accreditation and long-term value: VŠE is a well-respected European university, and the programme equips students with modern analytical tools alongside economic understanding, ensuring the degree is valued by employers across sectors and countries.
Graduate versatility: Combining statistics, econometrics, optimisation, and economic interpretation, the programme provides a versatile skill set that opens doors in consulting, financial services, public policy, data science teams, research institutions, and beyond.

Further Academic Progression:

After completing this bachelor’s degree, students can pursue a master’s programme at VŠE, such as Economic Data Analysis or related quantitative economics and data science fields, to deepen expertise and career opportunities. Graduates may also continue studies abroad in data science, econometrics, or quantitative economics, or work toward professional certifications in analytics, statistics, or economic modelling to enhance their professional profile.