Mission Statement
The Oskar Morgenstern Doctoral School (OMDS) imparts problem consciousness and the analytical skills required by future academic leaders and top researchers to excel and create lasting impact in society. By combining a theory-based approach with modern empirical, experimental, statistical, and computational methods, future leaders of the industry and academia will be well equipped with cutting-edge methods to manage the complex societal challenges in economics and business.
What we and our graduates will provide:
- Our expertise in state-of-the-art methods in quantitative research that allow us to solve complex decision problems and assess risk across disciplinary confines.
- Our inquisitive and collaborative spirit that mobilizes the power of our interdisciplinary team.
- Our pioneering visions that constantly challenge existing solutions and drive innovation across organizations, markets, industries and communities.
School Overview
The Oskar Morgenstern Doctoral School is committed to a quantitative theory-guided and data-based approach in analyzing economic problems.
The OMDS unites the following 5 tracks:
- Business Analytics, Logistics, and Operations Research (BALOR)
- Economics (Vienna Graduate School of Economics - VGSE)
- Finance (Vienna Graduate School of Finance - VGSF)
- Management
- Statistics and Data Analytics
Your Benefits
- Supervision by internationally active researchers provides students with global insights, research connections, and collaboration opportunities.
- Co-supervision and regular exchange with School faculty ensure awareness of different perspectives on research issues.
- Regular research seminars with international guest speakers as well as international visiting professorships (OeNB, WKÖ, AK, etc.) inform about the current state of the art in each track.
- Support for attending leading conferences and workshops enables students to present research, gain expert feedback, and expand network.
- Vienna Data Center: extensive data hub for empirical work.
News & Events
Gallery
Image 1 of 1
