BS Business Economics and Data Intelligence combines rigorous training in economic theory with the practical application of data analysis techniques. The curriculum bridges the gap between economic insight and data intelligence, providing a strong grounding in microeconomics, macroeconomics, econometrics, and statistical modeling, alongside courses in business analytics, big data tools, programming, and data visualization. Students work with industry-standard software such as R, Python, SQL, Excel, Tableau, and Power BI to derive actionable insights from data.
This interdisciplinary degree prepares students to tackle complex economic and business challenges in a data-centric world. Students engage in experiential learning through real-time datasets, simulation games, case studies, and group projects. The emphasis is on turning data into insight for better forecasting, performance evaluation, risk management, and strategic planning.
This four-year BS program in Business Economics and Data Intelligence aims to:
- Prepare graduates to analyze economic and business data for evidence-based decision-making.
- Build robust analytical, statistical, and computational skills to solve real-world economic problems.
- Develop critical understanding of economic theory and its integration with modern data analytics tools.
- Train students to interpret and visualize complex data trends for businesses, governments, and NGOs.
- Foster ethical reasoning, problem-solving skills, and innovative thinking in data-driven environments.
The BS Business Economics and Data Intelligence program prepares graduates to harness the power of data to make sound economic decisions and strategic business recommendations. This degree opens diverse career paths in economic and business analytics, market intelligence, policy research, consulting, financial services, tech-driven enterprises, and international development organizations. Graduates may work as economic analysts, business data analysts, research economists, policy advisors, quantitative researchers, or data consultants. The program is especially suited for roles in industries such as banking, fintech, e-commerce, government, and global institutions. Students are also equipped for advanced studies in economics, data science, public policy, or business analytics, and for obtaining professional certifications such as SAS, R, Python, or data science credentials.
The University welcomes applications from students who have completed Grade 12 or its equivalent. Eligible qualifications include:
- FSc (Pre-Engineering / Pre-Medical)
- Intermediate with Arts, General Science, or Commerce
- A’ Levels or equivalent qualifications
- A minimum of 45% marks or equivalent
- Any other Grade 12 qualification recognized by the Ministry of Education
