The M.S. in Applied Data Science program consists of 3 semesters of on-campus study, culminating in a paid practicum during the final semester. Students must complete 36 credit hours satisfactorily with a minimum average of 3.0 to obtain their M.S. degree.

Year One: Fall Semester

  • Introduction to Data Science Bootcamp
  • Applied Statistics I
  • Data Munging and Exploratory Data Analysis
  • Algorithms for Data Science
  • Databases for Data Science
  • Industrial Seminar Series I

Year One: January Interterm

  • Industrial Workshops

Year One: Spring Semester

  • Applied Statistics II
  • Data Visualization
  • Applied Machine Learning
  • Distributed Computing
  • Industrial Seminar Series II

Year One Summer or Year Two January Interterm

  • Industrial Practicum I

Year Two: Fall Semester

  • Advanced Applied Statistics
  • Advanced Applied Computing
  • Practical Data Science
  • Industrial Seminar Series III

Year Two: Spring Semester

  • Industrial Practicum II