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  Master of Applied Data Science


Online University of Michigan    Online Masters Programs

August MA 12 – 36 months
Business & Management (5) Computer Science (8)

FindAMasters summary

Are you ready to become a data scientist and join the next generation of experts in this rapidly growing field? The University of Michigan School of Information offers an exciting online programme called the Master of Applied Data Science (MADS). This programme is designed to equip aspiring data scientists with the skills they need to succeed. You'll learn essential concepts like machine learning and natural language processing, as well as important topics such as privacy and data ethics. No need to worry about additional tests like the GRE - all you need is an undergraduate degree and some foundational knowledge of Python and statistics. Join the University of Michigan's renowned faculty and gain access to their expertise and resources, including libraries and job listings. Plus, as a graduate, you'll become part of a vast alumni network of over 630,000 strong. Don't miss out on this opportunity to learn from the best and make a real impact in the world of data science.

About the course

Learn from the #1 public research university in the U.S. and join the next generation of data scientists.

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.

Read more about this course

Entry Requirements

- An undergraduate degree
- Foundational Python programming language and introductory statistics. (Applicants will take one assessment.)
- TOEFL exam for non-native speakers of English (exemptions in place if the applicant(s) completed a degree entirely in English).
- No Graduate Record Exam (GRE) or other exams required.




Fees

The total cost of the 34-credit degree would be $32,912 for in-state students and $43,894 for out-of-state students, based on this year’s estimated rates before fees.

 Course Content

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