The newly launched Computational Economics program at Pace University, co-directed by Professor Mary Kaltenberg, merges economics with computer science to prepare students for careers in data analysis and related fields. Emphasizing applied research skills, the program reflects the growing demand for expertise in big data across various industries, while Kaltenberg’s research enriches students’ learning experiences, enhancing job prospects and academic pursuits.
Mary Kaltenberg, PhD, an Assistant Professor of Economics, has partnered with Pace University’s Dyson College and Seidenberg School to launch an innovative Computational Economics program. Recognizing the evolving landscape of economics influenced by technological advances, Kaltenberg sought to equip students with essential, market-relevant skills. The program, commencing in fall 2024, blends computer science and economic methodologies, enabling students to analyze big data in diverse sectors like consulting and finance. Kaltenberg believes that the fusion of quantitative techniques from both fields creates a robust framework for understanding complex data patterns. This program stands out as it is not merely a dual major but a tailored approach aimed at preparing graduates for a multitude of careers in data analysis, banking, and beyond. Students armed with Python, R, SQL, and Stata will emerge with an extraordinary competitive edge. Kaltenberg’s research centers on the intersection of innovation and labor economics, probing how we can adapt to the skills demanded in a world increasingly influenced by automation. Her past studies illustrated how certain skill combinations garner wage advantages and uncovered the potential of cognitive skills in innovative performance as inventors age. The outcomes of her research not only benefit her students but also inform policy interventions that affect labor market dynamics. Teaching students research skills is a fundamental aspect of Kaltenberg’s classes, as seen in her Seminar in Economic Theory course where creative thinking and innovation in research are encouraged. Students engage in crafting original research questions that challenge traditional economics, from predicting interest rate changes to analyzing the influence of basketball stars on ticket sales. This robust learning experience translates directly into enhanced job prospects and pathways to further education. Pace’s Economics department prioritizes applied research skills, which sets it apart from typical undergraduate programs. By intertwining economic theory with practical application, Kaltenberg’s initiative fosters a fertile ground for students to thrive in the modern workforce.
The launch of the Computational Economics program at Pace reflects a broader trend in academia where interdisciplinary education is becoming crucial in preparing students for the demands of today’s job market. As industries increasingly rely on data analysis for decision-making, a strong foundation in both economics and computer science provides a unique advantage. The program is not only innovative in its curriculum but also strategic, aligning with current labor market needs and emerging technologies.
In conclusion, Professor Mary Kaltenberg’s work at Pace University signifies a forward-thinking approach in education, blending economics with cutting-edge computational skills. The Computational Economics program aims to equip students with the necessary tools to excel in a data-driven world, fostering a rich learning environment that propels graduates into successful careers or advanced studies. Kaltenberg’s focus on research and experiential learning ensures that students are well-prepared to tackle real-world challenges.
Original Source: www.pace.edu
