Master of Science in Data Analytics

The Walsh Master of Science in Data Analytics (MSDA) gives you the knowledge and skills to evaluate, interpret, and translate information to solve complex business problems and help organizations implement strategic, data-driven solutions. Data analysis is needed in nearly every industry and employment projections are high, growing, and lucrative. For students without a technical background, the MSDA program plan includes introductory coursework in databases, programming, and networking.

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.

Flexibility

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 Service

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.

MSDA Courses

Foundation Courses
QM 501	Introduction to Business Analytics
IT 501	Systems Analysis
IT 530	SQL and Databases
IT 533	Programming I
Core Courses
QM 504	Principles of Data Analytics
QM 505	Data Driven Decision Making
IT 544	Data Visualization and Predictive Modeling
IT 545	Programming for Data Analysis
IT 546	Data Mining & Transformation
IT 547	Data Storage Technologies
QM 600	Prescriptive Analytics
QM 601	Research Methods & Ethics
QM 602	Lean Six Sigma
QM 640	Data Analytics Capstone
Additional Electives (if needed)
Choose from the following: IT 540, IT 541, or IT 542

Admission 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), www.chea.org. Credits completed outside of the United States must be evaluated by an agency that is a member of NACES (www.naces.org).
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 today

Apply online or speak with an advisor today. Call the Admissions Office at 248-823-1600 or email us. Appointments are available Monday through Friday. Walk-ins are welcome on Wednesdays from 9 a.m. - 7 p.m.

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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.

*Source: https://www.forbes.com/sites/louiscolumbus/2020/01/05/ai-specialist-is-the-top-emerging-job-in-2020-according-to-linkedin

YOUR FUTURE STARTS TODAY.

Talk to an advisor: 248-823-1600