Full-time program

 

The full time program consists of one year of coursework, followed by a semester-long thesis or capstone project. Details on the courses can be found here.

Fall Quarter

  • Information Systems & Business Process Management
  • Data Management and Business Intelligence
  • Large Scale Optimization
  • Statistics for Business Analytics I
  • Certificate in SAS Programming & Machine Learning (info)

Winter Quarter

  • Business and Privacy Issues in Data Analysis
  • Big Data Systems & Architectures
  • Statistics for Business Analytics II
  • Business Analytics Practicum I (Python for Analytics, SAS tools)
  • Innovation and Entrepreneurship (short course)

Spring Quarter

  • Mining Big Datasets
  • Social Network Analysis (short course)
  • Machine Learning and Content Analytics (short course)
  • Business Analytics Practicum II (Visualization, Cloud Analytics)
  • Business Analytics Use Cases
  • Advanced Topics in Statistics or Advanced Topics in Data Engineering

Capstone project/Thesis