Academics

Below is a list of courses Booth students took to build their expertise in technology by leveraging the flexible curriculum. There is no 'right' way to take courses, as you decide what you need to meet your own goals.

A brief course overview can be viewed by clicking here. (Please note that access to the syllabus is restricted to current students)

Data Analytics

  • 36108 - Data Analysis with Python
  • 37103 - Data-Driven Marketing
  • 37105 - Data Science for Marketing Decision Making (Accelerated version of 37103)
  • 37202 - Pricing Strategies
  • 37304 - Digital and Algorithmic Marketing
  • 41100 - Applied Regression Analysis
  • 41201 - Big Data
  • 41204 - Machine Learning
  • 41205 - Data Analysis with R

Product Management / Product Marketing Management

  • 34106 - Commercializing Innovation: Tools to Research and Analyze Private Enterprises
  • 34108 - Innovation Leadership
  • 34705 - Entrepreneurial Discovery
  • 37101 - Consumer Behavior
  • 37107 - Experimental Marketing
  • 37106 - Marketing Research Lab
  • 37200 - New Products and Services (Non-lab version of 37201)
  • 37201 - Lab in Developing New Products and Services
  • 37707 - Digital Marketing and MarTech Lab

Technology Strategy

  • 39101 - Technology Strategy
  • 42001 - Competitive Strategy
  • 42117 - Platform Competition

Other Booth courses related to technology

  • 34102 - New Venture Strategy
  • 34706 - Energy and CleanTech Lab
  • 35123 - The FinTech Revolution
  • 36110 - Application Development
  • 39103 - Augmented Intelligence
  • 40110 - Managing Service Operations
  • 42118 - Business Applications of Natural Language Processing
  • 42201 - The Legal Infrastructure of Business

Masters Program in Computer Science (MPCS)

Booth students can apply for a MBA/MPCS dual degree.

Click here or here for more information about the program, and here for course offerings in MPCS.