Program Overview
The BSc in Economics with Data Science is a program designed to equip students with the tools and knowledge needed to excel in today’s data-driven economy. This program blends a strong foundation in economic theory with cutting-edge data science techniques, providing students with the skills to analyze and interpret complex datasets in a wide range of economic contexts.
Students will explore core areas of economics, including microeconomics, macroeconomics, and econometrics, while gaining hands-on experience in data science methods such as data management, modeling, machine learning, and visualization. The integration of these disciplines prepares graduates to tackle real-world economic challenges using both theoretical knowledge and practical data analysis skills.
This program is ideal for students who are passionate about understanding economic phenomena and want to leverage data to drive insights and solutions in fields like finance, policy-making, business strategy, and public health. By combining the analytical rigor of economics with the technical expertise of data science, graduates will be well-prepared for a variety of roles in research, consulting, government, and private industry.
Through long duration internships, capstone projects, and collaborations with experts, students will gain the experience needed to become leaders in both economics and data science.
Program Outcomes
PO1: Identify and explain core economic concepts and theories, and apply them to interdisciplinary and data-driven contexts using statistical and computational models.
PO2: Apply knowledge and skills in economics, data science, mathematics, and statistical software to conduct original and independent empirical research in economic domains.
PO3: Demonstrate an understanding of ethical practices in economics and data science, considering the societal impacts of data privacy, bias, and the global economy.
PO4: Analyse and present critical perspectives on economic and social issues using data science tools, particularly in areas such as gender, environment, and public policy.
PO5: Develop employability or entrepreneurial skills by integrating economic theory with data science methodologies, fostering innovative solutions to real-world problems.
PO6: Exhibit self-motivation, adaptability, and collaboration in both technical and interdisciplinary teams, applying data-driven insights to economic decision-making.
PO7: Demonstrate proficiency in formal written and data-driven reports, including correct use of referencing styles, and deliver effective presentations with statistical and economic visualizations.
PO8: Cultivate social awareness and responsibility using data for social good, and engage with communities to address economic and societal challenges.
PO9: Engage in effective dissemination of data-driven economic research through publications and presentations at various academic and industry forums.