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. Only the courses below may be used to satisfy this requirement (no petitions will be considered).
Approved courses:¹ ²
- ACCT 2420: Accounting and Business Analysis
- ACCT 2700: Predictive Analytics Using Financial Disclosures
- BEPP 2070: Economics for the Next Hundred Years
- BEPP 2800: Applied Data Analysis
- BEPP 2840: Game Theory for Business and Life
- HCMG 3910: Health Care Entrepreneurship
- LGST 2220: Internet Law
- LGST 2420: Big Data, Big Responsibilities: The Law and Ethics of Business Analytics (0.5 CU)
- MGMT 2140: Technology Innovation and Strategy
- MGMT 2430: Work and Technology (0.5 CU)
- MGMT 2670: Entrepreneurship and Technological Innovation (0.5 CU)
- MKTG 2270: Digital Marketing and E-commerce (0.5 CU)
- MKTG 2700: Digital Social and E-commerce Marketing
- MGMT/OIDD 2930: People Analytics
- MKTG 2520: Marketing Analytics (0.5 CU, formerly MKTG 3520)
- MKTG 4760: Applied Probability Models in Marketing
- OIDD 2010: Technology, Online Business Models and Valuation (no longer offered) (0.5 CU)
- OIDD 2010: Technology, Online Business Models and Valuation
- OIDD 2150: Analytics and the Digital Economy (no longer offered) (0.5 CU)
- OIDD 2450: Analytics and the Digital Economy
- REAL 3700: Real Estate Data Analytics
- REAL 3750: Real Estate Disruptions
- STAT 4050: Introduction to Programming in R (0.5 CU)
- STAT 4220: Predictive Analytics (0.5 CU)
- STAT/OIDD 4770: Introduction to Python for Data Science
- WH 1500/1508: Evaluating Evidence
¹ Additional courses will be added to this list as they are approved by the Curriculum Innovation and Review Committee.
² Starting with Advance Registration in spring 2022, all course numbers are changing from 3 to 4 numbers/characters. In general, if the old course number was <100, the new course number will be the old number prefaced by a zero. If the old course number was >100, the new course number will be the old number with a zero appended to the end, e.g., FNCE 100 becomes FNCE 1000.