Master of Science in Data Analytics

Data is the new oil. It must be extracted and refined. The problem – how do you derive insights and actions to gain a competitive advantage? Business/data analytics is the catalyst driving success, according to Dr. Kenneth Gilbert (Henderson, 2013). Organizations looking for strategic advantage are turning to innovations driven by data analytics and predictive vision. Not only do you need analysis, but you need the ability to leverage proven business models for successful implementation. The Walsh Master of Science in Data Analytics equips you with knowledge and tradecraft skills in insightful analytics, bringing you to the next level.

Why Walsh?


Faculty With Real-World Experience

There is no substitute for experience. That’s why 90% of Walsh faculty are working professionals teaching in their area of expertise.

Technology Tradecraft

Walsh’s MSDA program combines academic rigor and dozens of hours of hands-on learning exercises led by faculty with decades of real-world experience. You will expand your ability to think critically and effectively problem solve, maximizing your knowledge and skills to succeed and remain competitive in the constantly-evolving field of data analytics.


Schedule classes around your life Take courses entirely online, at one of our convenient locations, or a combination of both. Year-round registration lets you plan your academic year in advance.

Lifetime Career Services

You’ll find Walsh alumni in nearly every Fortune 500 company in Michigan. We have the tools and resources to help you find a new job, navigate a career change, or advance in your current role with personal attention and experienced staff.

View Overview, Courses, and Graduation Requirements

MSDA program applicants must:

  • Possess an undergraduate degree or higher from a college or university accredited by a regional accrediting organization recognized by the Council for Higher Education Accreditation (CHEA) and U.S. Department of Education (USDE), Credits completed outside of the United States must be evaluated by an agency that is a member of NACES (
  • A cumulative grade point average (GPA) of a 2.750 or better on a 4.000 scale.
  • Applicants with a cumulative GPA of 2.000 to 2.749, will be admitted provisionally.
  • No GMAT or GRE required.

Career Outcomes

Data analysts and data scientists are in high demand and continued growth for the industry is predicted in the coming years. Data scientist has topped LinkedIn’s Emerging Jobs report for three years in a row.* Career opportunities exist across industries and domains including automotive, defense, financial, healthcare, human resources, marketing and more.



Apply online or speak with an admissions advisor today. Call 248-823-1600 or email

Appointments are available Monday through Friday.

Why Study Data Analytics?

The decision sciences faculty come together to talk about why a degree in Data Analytics is a strong choice for the future. They discuss what this program entails and what career opportunities may look like for degree holders.

Thinking about a career in Data Science?

Dr. Kurt Godden and Dr. Suzy Siegle discuss Data Science and what someone can expect from a career in the growing field.