Suchergebnisse
Suchergebnisse:
Our Career Management Center has specialized coaches to help you define your career path—and enables more than 200 companies to recruit our students. Our Daytime MBA program: Deepens your expertise in the tools, frameworks, and models that address managerial problems. Prepares you to both lead and direct analysis.
19. Okt. 2023 · May 6, 2024. Round 4. Apr. 4, 2024. Apr. 19, 2024. May 10, 2024. May 29, 2024. *International applicants should apply in EA, Round 1, Round 2, and Round 3 for visa processing. **Interview dates fall within this period for each round. ***Accelerated MBA applicants are only able to apply in Rounds 1-4.
Learning—and living—with a cohort of diverse peers forges relationships that last a lifetime. You’ll experience the benefits of a well-connected business school through opportunities to engage with and learn from top-level executives at Fuqua’s corporate partners, while joining the network of 184,000+ Duke alumni worldwide.
Duke University’s Fuqua School of Business nurtures a style of working that brings out the strengths in others—building and leading teams where everyone contributes authentically in pursuit of ...
How to Apply. If you have any questions about Fuqua's PhD programs, please contact our PhD Program Office +1 919.660.7862 or by email. Applications for the PhD program can be found online on the Duke Graduate School website. The application deadline is December 14. Admission is based on both merit and on a competitive basis.
We're excited to meet you! Finding the right fit is important—for you, and for Fuqua—so the admissions process for each of our programs is designed to ensure we learn about each other. Fuqua invests in your success even before you’re a student, helping you identify the program that’s right for you and supporting you throughout your ...
Fuqua LinkedIn Live - Accelerating to Net Zero: Analytics for the Energy Transition. Professor David Brown will host a live discussion and Q&A session about the opportunities and challenge that AI, machine learning and optimization algorithms offer for driving the energy transition.
