Skip to main content

University of Michigan School of Information

Menu

Online learning at UMSI

Online Learning

The University of Michigan School of Information’s online Master of Applied Data Science is a flexible and practical degree for students with diverse backgrounds who want to apply rigorous data science in their jobs or chart new courses by launching careers in data science.

We welcome and encourage applicants from a broad range of backgrounds and experiences. We seek applicants who have demonstrated academic and/or professional success, who are interested in real-world applications of data science, who exhibit innovation and creative problem solving, and who show traits of leadership, persistence and initiative.

We expect a wide range of students will pursue this degree, as it teaches both wide and deep skills applicable to existing and new careers in data science.

A University of Michigan diploma for the Master of Applied Data Science.

Program overview

The Master of Applied Data Science program equips students with thorough preparation for managing data science from beginning to end in any number of real world contexts. It blends theory, computation and application in a flexible online format. The program includes study and application in data collection, processing, analysis, visualization, reporting and intervention. It will enable students to learn how to draw conclusions and inform decisions with data while being attuned to ethical considerations of data use.

The courses in the program are between one and three credits each and take one to three months to completeEvery course is usually offered in every semester and they are taught by core University of Michigan School of Information faculty. 

Courses cover:

  • Computational methods to deal with big data
  • Exploring and communicating data
  • Visualizing data using multiple methods
  • Analytic techniques (machine learning, network analysis, natural language processing, experiments and causal inference, etc.)
  • Data science application in context (search and recommender systems, social media analytics, learning analytics, etc.)
  • Three portfolio-building major projects

This flexible online curriculum will be offered in one credit, four-week course modules, so students can take as little as one credit per month and as many as three credits per month. The program is well suited to part- or full-time students including those who are participating while employed. For example, full-time students may complete the program in one year (12 months). Part-time students may complete the program in two years (24 months) or three years (36 months).

Students will have access to renowned University of Michigan faculty and resources. They will also have opportunities to build community within and beyond cohorts of other University of Michigan School of Information students.

Sign up for our interest list and receive:

  • Invitations to exclusive information sessions and events 
  • The opportunity to chat with current students 
  • More in-depth information about the MADS program 
  • Tips and advice for creating a successful application 
  • Reminders for important deadlines