Technology, Innovation, and Analytics

For students entering Wharton in fall 2017 or later

1 required CU

Courses in this category reflect the varied ways in which technological advances have changed business practices. These courses focus on one or more of the following activities associated with technology:

  • Innovation in products and services
  • Innovation in processes or mechanisms to deliver products and services
  • Management of the market and policy environments of new products and technologies
  • Applications and implications of new techniques for collecting, analyzing, and using data

Technology, Innovation, and Analytics courses may not be counted toward any other requirement and must be taken for a letter grade, not pass/fail. Students should wait until sophomore year or later to take these courses.

Approved courses:*

  • ACCT 242: Accounting and Business Analysis
  • ACCT 270: Predictive Analytics Using Financial Disclosures
  • BEPP 207: Economics for the Next Hundred Years
  • BEPP 280: Applied Data Analysis
  • BEPP 284: Game Theory for Business and Life
  • HCMG 391: Health Care Entrepreneurship
  • LGST 222: Internet Law
  • LGST 242: Big Data, Big Responsibilities: The Law and Ethics of Business Analytics (0.5 CU)
  • MGMT 214: Technology Innovation and Strategy
  • MGMT 243: Work and Technology (0.5 CU)
  • MGMT 267: Entrepreneurship and Technological Innovation (0.5 CU)
  • MKTG 227: Digital Marketing and E-commerce (0.5 CU)
  • MKTG 270: Digital Social and E-commerce Marketing
  • MGMT/OIDD 293: People Analytics
  • MKTG 352: Marketing Analytics (0.5 CU)
  • MKTG 476: Applied Probability Models in Marketing
  • OIDD 201: Technology, Online Business Models and Valuation (no longer offered) (0.5 CU)
  • OIDD 201: Technology, Online Business Models and Valuation 
  • OIDD 215: Analytics and the Digital Economy (no longer offered) (0.5 CU)
  • OIDD 245: Analytics and the Digital Economy 
  • REAL 375: Real Estate Disruptions (0.5 CU)
  • STAT 405: Introduction to Programming in R (0.5 CU)
  • STAT 422: Predictive Analytics (0.5 CU)
  • WH 150: Evaluating Evidence

* Additional courses will be added to this list as they are approved by the Curriculum Innovation and Review Committee.