About the Course
The University of Michigan School of Information’s online Master of Applied Data Science (MADS) degree is designed for aspiring data scientists to learn and apply skills through hands-on projects. You’ll learn how to use data to improve outcomes and achieve ambitious goals.
The MADS curriculum prepares you to be a leader in the field through mastery of core data science concepts like machine learning and natural language processing. By diving deep on key topics such as privacy, data ethics, and persuasive communication, you’ll be prepared to succeed within today’s organizations.
You’ll also work with real data sets from top companies as you build a work portfolio that showcase your skills. Learn the systems and techniques that help organizations overcome data overload and make smart decisions.
- An undergraduate degree
- Strong knowledge of Python programming language basic and introductory statistics (Applicants will take two assessments)
- TOEFL exam for non-native speakers of English
- No Graduate Record Exam (GRE) or other exams required
Who is this degree for
This degree is designed for candidates who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and reported across a variety of industries. Applicants should be proficient with statistics and Python. Students will learn how to apply these skills in ways that help organizations become more effective, strategic, ethical, and successful.
- Computational methods for big data
- Exploring and communicating data
- Visualizing data using various methods
- Analytic techniques (machine learning, network analysis, natural language processing, experiments and causal inference)
- Data science applications in context (search and recommender systems, social media analytics, learning analytics)
- 3 portfolio-building major projects.
The final application deadline is May 15th.
For full details and online enrollment, click the link below.
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