Learn in-demand data science skills and how to apply them to real-world problems with the online Master of Applied Data Science (MADS) degree from the University of Michigan School of Information.

In this online degree program, you’ll have the unique opportunity to develop an end-to-end perspective on data science and prepare for leadership in the field. As a MADS student, you’ll master core concepts and delve into essential topics such as big data, data ethics, data privacy, machine learning, natural language processing, network analysis, and more. By working with real data sets from top companies, you’ll put learning into practice, build your portfolio, and be ready to advance a successful data science career in any industry.

The only prerequisites to enroll in the program are knowledge of statistics and Python. You are not required to have a bachelor’s degree in a science or math discipline, or work experience in a technical field. We do not require the GRE or any other additional tests as part of your admissions process.

As an online student in the University of Michigan’s School of Information, you’ll prepare to be a leader in the field by developing an end-to-end perspective on data science. Past graduates from the School of Information's on-campus programs have a 95% job placement rate, and go on to become data scientists at places like Google, Facebook and Amazon.

The University of Michigan is considered the #1 public research university in the U.S., according to the National Science Foundation. With more than 630,000 proud alumni, U-M is a leader in higher education, attracting top students and faculty from across the globe. More than 1 million learners have taken courses online from UMSI faculty since launching on Coursera.

Whether you’re in the Upper Peninsula of Michigan, or in Europe, Asia, or Africa, MADS learners all share one thing: a passion for data. As a member of our global community, you’ll have opportunities to connect and collaborate with other School of Information students through peer review sessions, mentorship, the student Slack channel, and more.