Master of Applied Data Science

Applications for Fall 2025 are now open.

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Master of Applied Data Science

University of Michigan

Applications for Fall 2025 are now open.

Click Apply to start your application or Request more info below to learn more about the programme.

Apply

Accredited diploma

Offered by the University of Michigan, a top-ranked public research university in the U.S.

100% online

Hands-on learning from anywhere, engaging group discussions with professors and peers.

12 – 36 months

Approximate program length depending on course load.

$42,066 - $56,088 USD

Tuition rate is determined by residency.

Lead the Way in Data Science Innovation with a Degree from a Top-Ranked Public Research University.

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, causal inference, network analysis, and more. Through hands-on experience 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 MADS program requires knowledge of statistics and Python but not the need for a bachelor’s degree in a science or math discipline, or work experience in a technical field. We also do not require the GRE.

What makes MADS unique?

Join a global community with a shared passion for data. MADS attracts top students and faculty from across the globe.
Earn your degree from a top-ranked institution. With 102 top-10 graduate programs, the University of Michigan is ranked as the #1 public research university in the U.S. by the National Science Foundation.
Connect and collaborate with other School of Information students through peer review sessions, mentorship, the student Slack workspace, and more.
Prepare to be a leader in the data science field by developing a beginning to end perspective on data science.
Apply data science in any number of real world contexts. The MADS program blends theory, computation, and application.
Benefit from a flexible online format designed for either full-time study or part-time study while working.

Application information

Applications for Fall 2025 are now open. Don't miss your opportunity, apply today.

  • Priority application deadline: June 1, 2025

Upcoming Information Sessions

Attend an upcoming Information Session

Have questions? Request Info here

Get a head start on your degree with courses, specializations, or certificates. Learn more

Applications for Fall 2025 are now open.

Click Apply to start your application or Request more info below to learn more about the programme.

Apply

Accredited diploma

Offered by the University of Michigan, a top-ranked public research university in the U.S.

100% online

Hands-on learning from anywhere, engaging group discussions with professors and peers.

12 – 36 months

Approximate program length depending on course load.

$42,066 - $56,088 USD

Tuition rate is determined by residency.

Accredited diploma

Offered by the University of Michigan, a top-ranked public research university in the U.S.

100% online

Hands-on learning from anywhere, engaging group discussions with professors and peers.

Lead the Way in Data Science Innovation with a Degree from a Top-Ranked Public Research University.

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, causal inference, network analysis, and more. Through hands-on experience 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 MADS program requires knowledge of statistics and Python but not the need for a bachelor’s degree in a science or math discipline, or work experience in a technical field. We also do not require the GRE.

What makes MADS unique?

Join a global community with a shared passion for data. MADS attracts top students and faculty from across the globe.
Earn your degree from a top-ranked institution. With 102 top-10 graduate programs, the University of Michigan is ranked as the #1 public research university in the U.S. by the National Science Foundation.
Connect and collaborate with other School of Information students through peer review sessions, mentorship, the student Slack workspace, and more.
Prepare to be a leader in the data science field by developing a beginning to end perspective on data science.
Apply data science in any number of real world contexts. The MADS program blends theory, computation, and application.
Benefit from a flexible online format designed for either full-time study or part-time study while working.

Application information

Applications for Fall 2025 are now open. Don't miss your opportunity, apply today.

  • Priority application deadline: June 1, 2025

Upcoming Information Sessions

Attend an upcoming Information Session

Have questions? Request Info here

Get a head start on your degree with courses, specializations, or certificates. Learn more

Diverse backgrounds are welcome

You don’t need a specific undergraduate degree to be admitted, instead you can demonstrate knowledge of statistics and Python to be eligible. The following two specializations from University of Michigan will give you the Python and statistics background to begin the Master of Applied Data Science degree if you don’t already have it:

The Python 3 Programming Specialization teaches the basics of programming in Python 3. It covers fundamental techniques like variables, conditionals, and loops. The course also includes intermediate materials like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

The Statistics with Python Specialization  teaches the basic and intermediate concepts of statistical analysis using Python. It covers data collection, design, management, exploration, visualization, estimation, inference, and advanced statistical modeling.

Learn more about the application requirements

Flexible tuition payment plans

  • Tuition The total cost of the 38-credit degree program for the 2024-2025 academic year, based on this year's rates before fees, is approximately $42,066 ($1,107 per credit hour) for in-state students and approximately $56,088 ($1,476 per credit hour) for out-of-state students.
  • Scholarships All applicants are automatically considered for merit-based partial scholarships ($1,000-$5,000).
  • Pay as you go MADS offers several payment options. You may pay per term for all the classes you take that term, opt into a monthly payment plan, or pay each time you register for a course.

When you earn your MADS degree, you’ll be able to:

  • Use data to drive organizational outcomes.
  • Develop a strong foundation in core data science concepts, including machine learning and natural language processing.
  • Gain a comprehensive understanding of important topics like privacy, data ethics, and communicating data science to lay audiences.
  • Acquire skills in building predictive models, visualizing data, and formulating data-informed problem statements.
  • Learn computational methods for efficient handling and analysis of big data.

MADS graduate outcomes

$122K average salary

by MADS graduates who reported new jobs after graduation

15-20% increase

in salary among MADS graduates who remained in their current roles after graduation.

Qualify for a variety of in-demand jobs in data science

  • Data Scientist

  • Data Analyst

  • Machine Learning Engineer

  • Data Engineer

  • Data Manager

  • Business Intelligence manager

  • Data Governance Analyst

  • Analytics and Insights manager

Fall 2025

Apply by priority deadline: June 1, 2025

Guided Project Skeleton

Prepare for this degree program

These courses may provide you with a preview of the topics, materials and instructors in a related degree program helping you decide if the topic or university is right for you.

  • Python for Everybody Specialization
  • Statistics with Python Specialization
  • Python 3 Programming Specialization
Guided Project Skeleton

Check out the latest news from Michigan MADS

Coursera’s University Partners are Recognized Among Forbes Top 10 List of “New Ivies”

For a second year, Forbes has recognized a top ten list of “New Ivies.” These university graduates are said to be “outpacing most Ivy Leaguers in the eyes of employers” with similarly selective admissions processes and rigorous coursework.

April 15, 2025

Mastering data science: The MOOC-to-MADS pathway

As data science and programming skills become increasingly relevant, people across industries find themselves thinking, “I should have learned to code.” Many enroll in Python 3 Programming, a massive open online course taught by University of Michigan faculty. The Py3 MOOC is designed to offer a standalone primer in programming, but according to faculty and students, it also serves as an ideal springboard into the Master of Applied Data Science at the School of Information.

June 11, 2023

MADS students bond with community in Ann Arbor during inaugural on-campus experience

Students in the University of Michigan School of Information’s 100% online master’s degree program in data science came to U-M’s Ann Arbor campus from all over to celebrate together during Homecoming Weekend. 

The inaugural, optional Master of Applied Data Science On-Campus Experience drew over 60 MADS students to meet peers, faculty and staff in person, visit UMSI spaces, and enjoy beautiful Ann Arbor in the fall.

October 9, 2023

Employment Reports 2023: UMSI grads landing in choice industries with higher salaries

In a survey of 2022 graduates conducted by UMSI’s Career Development Office, 95% reported high levels of job satisfaction. Salaries were up 9%, 14% and 20% from the year prior for graduates of the Bachelor of Science, Master of Science and Master of Applied Data Science respectively. Across all degree programs, the salaries of UMSI graduates sat at the top of national averages in comparative fields and industries.

September 5, 2023

MADS team designs a new data visualization to help save Great Lakes

Applying data science methodology to the issue of invasive species in the Great Lakes, three UMSI Master of Applied Data Science (MADS) grads have designed a new data visualization to display species impacting or being impacted by invasive species.

October 14, 2021

Prepare for this degree

These courses may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Frequently asked questions

The MADS program is a unique degree geared toward building practical experience and creating a portfolio of work in data science. This program comes from the same #1 ranked on-campus Information Science program and is taught by regular University of Michigan School of Information faculty.

The degree diploma and transcript are identical to the other graduate programs from the fully-accredited University of Michigan School of Information. These documents do not differentiate between residential and online. The program curriculums are also aligned and taught by many faculty who instruct in both the online and on-campus programs.

This program is specifically designed for working adults to complete. The time needed varies based on your previous experience, the particular course(s) you’re taking, and how many courses you choose to take at one time - anywhere from one to three credits per month. On average, students spend approximately 9 to 12 hours per week on each course.

Fall 2025

Apply by priority deadline: June 1, 2025