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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.

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.

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