Undergraduate Program

Business Administration: Data Analytics for Economics and Finance

The Data Analytics for Economics and Finance concentration equips students with the analytical skills they need to to develop intelligent financial strategies that drive business performance.  Graduates receive a dually-accredited degree, recognized in both the US and the EU, and earn it in three years instead of four. Students gain hands-on experience in data analytics, data analysis, financial markets, economic forecasting, and business intelligence.

Discover B.A. in Business Administration Study Business at AAU!
Accreditation WASC + NABHE
Degree Bachelor of Arts
Duration 3 years
Location Prague, CZ
Tuition EU 35 856 USD
Tuition NON-EU 41 256 USD
Intake Fall / Spring
Deadline Rolling Admission
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Note: This amount represents the total cost for the full degree.

Program Highlights

  • 3 Year Degree Program
  • US and EU Accredited Degree
  • Accumulate 90 US/180 ECTS credits over the course
  • Recognized by top universities in the US and Europe accredited by WASC for Masters Programs

    Admission Requirements

About the Program

What is AAU’s Data Analytics for Economics and Finance Concentration?

The Bachelor of Arts (B.A.) in Business Administration with a concentration in Data Analytics for Economics and Finance prepares students to understand how data shapes business decisions, financial markets, and economic trends. Students learn to collect, analyze, and interpret data while developing the technical and analytical skills needed to solve real-world business and financial challenges.

By combining economics, finance, statistics, and data analytics, students gain the ability to identify patterns, forecast trends, evaluate investment opportunities, and support strategic decision-making. Graduates are prepared for careers in data analytics, finance, consulting, business intelligence, and emerging technology-driven industries where data has become one of the world’s most valuable resources.

Why Study Data Analytics in Prague?

Prague is one of Central Europe’s fastest-growing technology and business hubs, attracting multinational corporations, consulting firms, financial institutions, startups, and analytics-focused organizations. By studying data analytics in Prague, students gain access to internship opportunities, professional networks, and career pathways in industries increasingly driven by data and technology.

The city’s international business environment allows students to connect classroom learning with practical applications in finance, economics, business intelligence, and digital transformation.

Why Choose AAU’s Data Analytics for Economics and Finance Degree? 

AAU combines business education with practical data analytics training, allowing students to develop technical, analytical, and strategic decision-making skills. Students benefit from dual US and EU accreditation, internship opportunities, small class sizes, international faculty, and hands-on experience, using data to solve real business and financial problems. 

Program Structure

How Does the B.A. in Data Analytics for Economics and Finance Work? 

Complete a three-year bachelor’s degree in data analytics for economics and finance while earning qualifications recognized in both the United States and the Czech Republic. Students accumulate 90 US credits (180 ECTS credits) through a combination of general education, business, concentration, and elective courses. 

Having passed all the required and elective courses, students complete their studies by taking the graduation examination which includes a state exam covering the major module, a state exam covering the concentration module, and a thesis defense.

For more information on the modular structure and the program, please contact our admissions team at admissions@aauni.edu.

Note: Approx. 12 – 15 students need to be enrolled in order to run a concentration module.

Real-World Learning & Career Outcomes

What Skills Will You Gain From the B.A. in Data Analytics for Economics and Finance?

Upon completion of the Graduates of the Data Analytics for Economics and Finance program, students will be able to:

  • Demonstrate proficiency in data analytics techniques and tools—including data mining, regression analysis, time series analysis, and predictive modeling—using programming languages such as R or Python.
  • Apply statistical methods and econometric models to analyze economic data, evaluate economic theories, and forecast economic indicators, such as GDP growth, inflation rates, and unemployment rates.
  • Utilize financial analytics techniques to analyze financial markets, assess investment opportunities, and manage financial risk, including portfolio optimization, asset allocation, and risk modeling.
  • Understand the role of data analytics in decision-making processes within economics and finance, including business strategy formulation, investment decisions, and risk management.
  • Interpret and communicate analytical findings effectively to stakeholders—including business leaders, policymakers, and investors—through data visualization, reports, and presentations.
  • Identify and address ethical and privacy considerations related to data analytics, including data security, confidentiality, and compliance with regulatory requirements.
  • Apply data analytics techniques to real-world business problems and challenges in economics and finance, using case studies, projects, and simulations to develop practical analytical skills.
  • Continuously update and expand their knowledge and skills in data analytics through lifelong learning, professional development, and engagement with emerging trends and technologies in the field.

Internships

How Do Internship Experiences Prepare You for Success?

Internships are a required part of the program. Students can complete their internship at companies such as McKinsey, PwC, Korn Ferry, Microsoft, Škoda, and more, gaining practical experience in data analytics, business intelligence, economic analysis, and financial analysis.

Career Prospects

What Careers Can You Pursue With a Data Analytics for Economics and Finance Concentration?

Graduates of the Data Analytics for Economics and Finance program are well-prepared for a variety of roles in economics, finance, data analytics, data analysis, business intelligence, and predictive analytics. Some potential career paths include:

  • Data analyst
  • Financial analyst
  • Economic analyst
  • Quantitative analyst 
  • Economic research analyst
  • Business intelligence analyst
  • Risk analyst
  • Consultant
  • Financial planner
  • Policy analyst
  • Fundraiser
  • Business adviser  

Qualification Awarded

Is the B.A. in Data Analytics for Economics and Finance Recognized Internationally?

The degree awarded is concurrently recognized as a Bachelor of Arts (BA) in the United States, as per AAU’s accreditation by the WASC Senior College and University Commission, and as a Bakalář (Bc.) in Czechia, as per AAU’s accreditation by the National Accreditation Bureau for Higher Education (NABHE). Graduates may select whether to use the U.S. post-nominal or the Czech pre-nominal title.

The Data Analytics for Economics and Finance concentration is accredited by the Academic Quality Assurance Board of Anglo-American University. Its completion will be indicated on the transcript and diploma supplement.

Financial Aid and Scholarships

We provide a wide range of scholarships, tuition discounts, and financial aid options to help make quality education more accessible. To learn more please visit our dedicated Financial Aid and Scholarships page.

Additional information

See what our students have to say

  • My Prague Experience
  • We do almost all of our projects in small international teams, and we work together like we would in a business company and synergize our different ideas. There's flexibilities to meet with teachers outside of class, and ask them questions, not just specifically things we learn in the class.

    Ann Connolly
    Business Administration, United States of America
  • My time at Anglo-American University was genuinely transformative, shaped as much by the people as by the academics. The close international community and discussion-based classes pushed me to grow, speak up, and gain confidence in my ideas. I built both practical skills and a clearer sense of direction for my career.

    Nesa Kazazi
    Business Administration, Kosovo

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