• The MSc in Learning Analytics at Columbia University is a 1-year program.
  • This program prepares students to make data-driven decisions about education using quantitative methods drawn from computer science, statistics, and cognitive science. 
  • Students learn analysis methods through coding, statistical model building, and visualization as well as relevant policy, legal, and ethical issues involved in conducting analysis on education data. 
  • Some of the main topics students learn through this program are:
    • Data Mining
    • Process and Theory
    • Networked and Online Learning
    • Human Cognition and Learning
    • Educational Psychology
  • Students will learn analytics and educational data-mining methodologies and apply them to real-world problems across a variety of learning environments. 
  • The data analysis represents one of the fastest-growing career paths, and employers in the education sector are increasingly looking to hire individuals with the skills to make data-driven decisions.
  • The student-faculty ratio of this college is 6:1.
  •  Graduates of the master's program pursue jobs in educational technology companies and startups, think tanks, and governmental data groups. 
  • The acceptance rate of Columbia University is 5.8%.
  • Columbia University is ranked #19 in QS Global World Rankings 2021.