Business Administration: Data Analytics for Economics & Finance

The Data Analytics for Economics & 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 for a single price.

Discover Business Studies at AAU!

Accreditation	WASC + NABHE
Degree	Bachelor of Arts
Duration	3 years
Location	Prague, CZ
Tuition EU	685 020 CZK
Tuition NON-EU	793 020 CZK
Intake	Fall / Spring
Deadline	Rolling Admission

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About the program

The Bachelor of Arts (BA) in Business Administration with a concentration in Data Analytics for Economics & Finance is designed to equip students with the knowledge and skills necessary to leverage data analytics techniques, along with the tools to analyze economic trends, financial markets, and business performance.

This program combines core business principles with specialized coursework focused on data analysis, statistical modeling, econometrics, and financial analytics. Students learn to extract insights from large datasets, forecast economic indicators, and make data-driven decisions to optimize financial strategies and drive business growth.

What I enjoy most about AAU is its diverse and engaging environment. The smaller class sizes allowed me to make meaningful connections with faculty members and students, and facilitated networking, which is extremely important in the business world, and has enabled me to seek out the right opportunities.

Kristian Pankulych, BA in Business Administration, 2017

Program Structure

Business Administration: Data Analytics for Economics & Finance is a 3-year study program. To graduate, students must accumulate 90 US credits (180 ECTS credits) by completing 30 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 study 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.

Learning Outcomes

Graduates of the Data Analytics for Economics & Finance program 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.

Career Prospects

Graduates of the Data Analytics for Economics & Finance program are well-prepared for a variety of roles in economics, finance, data analysis, and business intelligence. 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

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 & 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

Learn more about tuition & payment.
Learn more about undergraduate admission requirements.
Explore our FAQ section.
Should you have any further questions please email us at admissions@aauni.edu.

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

I like AAU because it’s very diverse and you can take as many classes as you want, including ones not connected to your degree. That way you can grow as a person. I enjoy basically every hour I spend here and I feel like I’m getting value for every class and I feel very connected to the people around me.