University of Michigan - Online Master of Applied Data Science Program
The University of Michigan’s School of Information offers an online Master of Applied Data Science (MADS) program. The program focuses on the application of data science tools and technologies to the analysis of real-world problems and emphasizes a multidisciplinary approach to data science, incorporating coursework in information technologies, computer science, and statistical methods. This program is designed for students who can pass online assessments for introductory statistics and competencies in Python programming. Courses are offered in four-week modules and students have the option of taking one, two, or three courses per session. The program is 100% online and does not require students to attend campus-based sessions.
The University of Michigan’s online MADS program, which is accepting its first class in the Fall of 2019, will eventually allow full-time students to complete the curriculum in approximately one year, while part-time students can expect to graduate in two to three years. However, full-time students who begin the program in the Fall of 2019 are expected to take 24 months to complete the program. Courses are taught using a learning management system (LMS) that supports synchronous online instruction. This means that students are expected to log on to the school’s LMS for scheduled weekly virtual-classroom sessions that take place in real time. Additional coursework and assignments may then be completed online through the school’s LMS.
The online MADS program curriculum is build around core coursework in data collection, processing, visualization, and analysis. Students learn to apply advanced computational methods to solving big data problems, study machine learning and natural language processing, and explore topics in learning analytics, social media analytics, and predictive analytics. The program also includes three portfolio-building projects.
The University of Michigan is accredited by the Higher Learning Commission.