“Shaping Data-Informed Economic Leaders for Tomorrow”
The BS Economics with Artificial Intelligence (AI) & Data Science is an innovative undergraduate program designed to blend core economic theory with modern data science and artificial intelligence tools. The program equips students with the analytical, computational, and technological skills needed to address complex economic challenges in an increasingly data-driven world.
Students study essential economics subjects such as microeconomics, macroeconomics, development economics, econometrics, Islamic and financial economics, and blue economy alongside hands-on coursework in Python programming, machine learning, agentic AI, data mining, modeling, and big data analytics. This combination prepares graduates for diverse careers across business, finance, government, research, development, and the rapidly expanding AI and data science sectors.
Rationale of this Program
As global economies undergo digital transformation, traditional economics programs are expanding to include modern quantitative and technological skills. Students today seek degrees that not only teach economic concepts but also prepare them for careers in data-driven sectors. Employers increasingly demand graduates who can interpret economic systems, analyze large datasets, develop predictive models, and apply AI-based tools in real-time decision-making.
This program has been launched to respond to these emerging needs. By integrating Data Science and Artificial Intelligence with economics, the degree becomes future-focused, practical, and aligned with industry expectations. Students graduate with strong foundations in economics and the technical ability to work with programming languages, analytics software, intelligent models, and real-world economic data.
The program bridges the gap between classical economic knowledge and 21st-century data and AI competencies, ensuring graduates remain competitive in both local and international job markets.
Importance in the Context of Pakistan
Pakistan’s economic landscape is rapidly evolving, with increasing reliance on technology, digital finance, and data-driven governance. Public and private sector institutions now depend heavily on analytics, forecasting, and AI-supported decision-making. There is a growing national demand for professionals who understand economic structures and can apply advanced data science and AI techniques.
This program fulfills critical national needs by producing graduates who can contribute to:
Key Areas
- Economic policy design
- Financial analytics and forecasting
- Development planning
- Digital banking and fintech
- Industry competitiveness
- Public sector reforms
- Research and consultancy
- Technology-driven entrepreneurship
