Decoding Decisions Beyond the Numbers
Wednesday, 18 February 2026
9:30 AM EST
Zoom
There is an ongoing battle between the proponents of traditional finance and those of behavioural finance. This course will explore the issues that separate the two schools of thought and the implications thereof. A focus on individual decision under the two will be developed, compared, and contrasted.
Explore how biases impact market behaviour
Learn how psychology influences financial decisions
Learn how traditional finance meets behaviour
Learn how to better decisions through awareness
Expand valuable industry connections
Enhance professional decision-making
Access to SEED Scholarship Fund
Application Fee Waiver
Located in the vibrant and dynamic city of Washington, D.C., the American University's Kogod School of Business has been shaping future business leaders since its founding in 1955. By harnessing the power of American University's renowned reputation, it offers cutting-edge graduate programs renowned for integrating artificial intelligence, sustainability, and STEM-designated tracks. All master's students benefit from Kogod's award-winning AI curriculum, with specialized courses and credentials in machine learning and business analytics. The school's sustainability-focused programs such as the MS in Sustainability Management and the MBA with ESG and climate strategy pathways equip students to lead in responsible business. STEM-designated options, including the MS in Finance, MS in Accounting, MBA, and MS in Business Analytics and AI, blend technical expertise with business skills, allowing international graduates to extend their stay and work in the US. Kogod School of Business distinguishes itself through comprehensive integration of artificial intelligence across all programs, offering over 20 AI-focused courses and credentials, including majors, minors, certificates, and badges. The Institute for Applied AI engages faculty from multiple disciplines, delivering immersive, real-world learning and ensuring students master both foundational and advanced AI skills applicable to diverse business careers.
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29 January 2026
9:30 AM EST (America/New_York)
03 February 2026
9:30 AM EST (America/New_York)