BS Economics with Data Analytics at IUHT combines economic theory, quantitative methods and modern data analytics to prepare students for data-driven decision-making in business, government, finance and development. Students develop expertise in economics, statistics, econometrics, data visualization, business intelligence, programming and Artificial Intelligence, with practical applications in economic forecasting, policy analysis, financial markets and organizational decision-making.
Departments/Department of Management Sciences (Data-Driven Management & AI Innovation)/BS Economics with Data Analytics
UndergraduateAdmissions Open
BS Economics with Data Analytics
- Duration
- 4 years
- Credit hours
- 130-140 credit hours
- Eligibility
- Intermediate (FA/FSc/ICS/I.Com) or equivalent with at least 45% marks
Program overview
Academic plan
Scheme of studies
Representative semester structure and credit distribution. Final course titles and credit hours may be adjusted per HEC and accrediting-body requirements.
Credit / Structure Summary: 4-Year Undergraduate Degree | 8 Semesters | Approximately 130–136 Credit Hours Semester 1 Principles of Microeconomics Introduction to Data Analytics Business Mathematics English Composition & Communication Introduction to Information Technology Fundamentals of Accounting Islamic Studies / Ethics Semester 2 Principles of Macroeconomics Statistics for Economics Calculus for Economics Computer Applications Principles of Management Pakistan Studies Communication Skills Semester 3 Intermediate Microeconomics Intermediate Macroeconomics Statistical Methods Programming for Data Analytics Financial Accounting Economic History Entrepreneurship Semester 4 Econometrics I Data Management & Databases Mathematical Economics Public Finance Data Visualization Research Methods Elective I Semester 5 Econometrics II Applied Data Analytics Development Economics Monetary Economics Business Intelligence Financial Economics Elective II Semester 6 Time Series & Forecasting Machine Learning for Economics International Economics Econometrics with Statistical Software Economic Policy Analysis Artificial Intelligence for Economics Elective III Semester 7 Applied Econometrics Big Data Analytics Financial & Economic Modelling Public Policy Analytics Research Project / Thesis Professional Internship Elective IV Semester 8 Advanced Economic Analysis Predictive Analytics Economic Forecasting Data-Driven Decision Making Capstone Project Professional Ethics Elective V
Outcomes
Career opportunities
Pathways graduates often pursue in industry, public service, further study, and entrepreneurship.
- Economics and Data Analytics graduates can pursue careers as Economic Analysts, Data Analysts, Business Analysts, Financial Analysts, Research Analysts, Economists, Policy Analysts, Market Research Analysts and Economic Consultants, as well as opportunities in government, financial institutions, corporations, research organizations and development agencies.
Admissions 2026