A career accelerator for future leaders in applied economics.
The Doctor of Economics and Data Analysis (DEDA) is a groundbreaking interdisciplinary program that transcends traditional economic theory by blending in-depth knowledge of data science and applied economics with real-world problem-solving. With an emphasis on translational research and interdisciplinary collaboration, DEDA sets itself apart from other economics programs. Beyond developing technical skills, the program highlights the importance of leadership and collaboration, preparing you to communicate effectively with diverse audiences and lead multidisciplinary teams in making data-driven decisions and implementing innovative solutions to complex economic and societal challenges.
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The DEDA program offers a career-friendly, non-dissertation-based degree tailored for working professionals seeking to advance their careers in economics and the analysis of economic data. With options for online learning and intensive in-person experiences, the curriculum offers flexibility for working professionals. Our goal is to cultivate expertise in data analytics, promote leadership and innovation, and hone practical problem-solving skills. By equipping students with these essential tools, the DEDA program prepares them to become future leaders across the public, private, and nonprofit sectors.
Program Highlights
- Career Accelerator: Unlike traditional PhD programs, DEDA is a non-dissertation program designed for professionals looking to establish or advance their careers outside of academia. The transdisciplinary approach provides invaluable experience working with experts from a variety of backgrounds, just as you do in professional settings.
- Purpose-Built Curriculum: The DEDA curriculum not only provides the most advanced training in economics and data analytics, but also teaches practical application by developing communication and leadership skills.
- Real-World Impact:The DEDA program is designed to equip you with the skills to address complex economic issues, foster innovation, and drive positive change. This is achieved by emphasizing the application of economic principles and data analytics to real-world situations, while encouraging interdisciplinary collaboration and problem-solving.
