Program Overview

Business Administration: Data Analytics for Economics and Finance

About the Program

The Bachelor of Arts (BA) in Business Administration with a concentration in Data Analytics for Economics and 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.

Program Structure

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

General Education Module

• Composition I
• Composition II
• Introduction to Economics
• Introduction to Law
• Computer Information System
• One course from the following:
  • Introduction to Politics
  • Introduction to Sociology
  • Introduction to Psychology
• One course from the following:
  • World History I
  • World History II
  • European History I
  • European History II
  • Survey of Western Art

Major Module

• Business Mathematics I
• Introduction to Management
• Introduction to Marketing
• Business Statistics
• Financial Accounting
• Finance for Non-Financial Managers
• Corporate Finance
• Digital Skills & AI for Business
• Advanced Communication and Presentation Skills for Global Managers
• Ethical Decision-Making
• Professional Internship
• Thesis Seminar I: Business Research Methods
• Thesis Seminar II: Strategic Planning
• On top of that students are also required to complete the Thesis module.

Concentration Module

• Business Mathematics II
• Microeconomics
• Macroeconomics
• Introduction to Econometrics
• Data Analytics and Visualization
• Two courses from the following:
  • Financial Reporting and Analysis
  • Investment Analysis and Portfolio Management
  • Managerial Accounting
  • Taxation
• Note: Approx. 12–15 students need to be enrolled in order to run a concentration module.

Open Electives Module

• Three elective courses offered by any school at AAU.

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.

Learning Outcomes

Graduates of the Data Analytics for Economics and 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 and 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 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

• Learn more about tuition & payment.
• Learn more about undergraduate admission requirements.
• Explore our FAQ section.

Accreditation

• WASC + NABHE

Degree

• Bachelor of Arts

Duration

• 3 years

Location

• Prague, CZ

Tuition EU

• 31,781 USD

Tuition NON-EU

• 36,679 USD

Intake

• Fall / Spring

Deadline

• Rolling Admission

Note

• This amount represents the total cost for the full degree.