Opportunity Weeks
Wharton MBA Opportunity Weeks provide students with valuable time to explore unique programming throughout the semester, both credit-bearing and extracurricular. Scheduled at several intervals throughout the academic year, students have the opportunity to explore domestic and international programming that would not otherwise be available during the semester. These periods can be found within the 2022-2023 academic calendar.
Existing programs, such as Global Immersion Programs, Global Modular Courses and Leadership Ventures will utilize Opportunity Weeks.
We are actively working to finalize programming for the upcoming year, being mindful of COVID-19 restrictions and protocols. Please check our page as well as the respective programs periodically for more information. All programs are subject to change or cancellation.
2022-2023 Opportunity Weeks Schedule
October 17-21, 2022
MGMT 8970: Technology, Innovation and Entrepreneurship in the New Space Era
Professor Rahul Kapoor | Virtual
OIDD 6540: Product Management
Professor Karl Ulrich | Wharton San Francisco Campus
January 9-13, 2023
MGMT 8970: Impact Hack: An Analysis to Education Access and Completion
Professors Tyler Wry & Katherine Klein | Wharton Philadelphia Campus
BEPP 8930: Business Analytics with Data for Non-Coders
Professor Kent Smetters | Wharton Philadelphia Campus
March 6-10, 2023
MKTG 8530: The Business of Wellness: Marketing & Consumption
Professor Annie Wilson | Wharton Philadelphia Campus
May 1-5, 2023
OIDD 6670: AI, Business, and Society
Professor Kartik Hosanagar | Virtual
OIDD 6670 001
0.5 CU
Providing an overview of AI and its role in business transformation, the purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts.
A brief technical overview will be provided for students not actively immersed in AI, including Big Data, data warehousing, datamining, machine learning, etc. We will consider business applications of AI in Media, Finance, Healthcare, Retail, and other industries. We will also consider how AI can be used as a source of competitive advantage. The course will conclude with a discussion of ethical challenges and a governance framework for AI.
No prior technical background is assumed but some interest in (and exposure to) technology is helpful. While we might “look” at code in a session or two, students will not be coding in this course.