Master of Science in Applied Data Analytics

Earn the graduate degree that's cracking the code on Big Data analytics — No GRE required


multidisciplinary faculty for the M.S. in Applied Data Analytics Program

Information Session Replay

Lean more about this program through a recorded 20-minute information session with faculty in the program.



A Data Analytics Degree Designed for Today's Professionals

University of Detroit Mercy's 30-credit-hour graduate program in applied data analytics is designed to meet the needs of today's organizations to make data-driven decisions. Through academic instruction and hands-on training, successful graduates will learn the skills and knowledge for the hot new, high-paying careers including data specialists, data analysts, business analysts and database specialists.


Request Information

 $91,467 average annual salary for data driven decision makers

16% job growth for Computer and Information Research Scientists

85% of CEOs place a high value on data analytics for their companies

Learn more about Detroit Mercy's M.S. in Applied Data Analytics

The program is both interdisciplinary and multidisciplinary drawing from the University's expert faculty and course offerings from departments including Cybersecurity & Information Systems and Economics, as well as the College of Engineering & Science, School of Architecture and College of Health Professions.

Detroit Mercy’s Jesuit and Mercy education provides you the foundation you need in critical thinking, communication and ethical decision making as you pursue your graduate degree in Applied Data Analytics. You’ll graduate with the ability to comprehend the human impact of work that companies are hungry for in today’s graduates and have a stronger understanding of how to apply data analytics in helping people.

Open All | Close All

When can I enroll in the Master of Science in Applied Data Analytics program?

You can begin the online program at the start of the fall, winter or summer semesters and the on campus program during the fall or winter semesters. Fall classes begin Aug. 31, 2020.

Why is "data scientist" considered the best job in America?

According to Glass Door, data scientists have the best job in America right now. From salary, to job growth to challenge and personal fulfillment, read what data scientists have to say about job satisfaction in this article by Business Insider.

Is a graduate degree in data analytics for me?

Whether you have recently graduated from college, are already working in business looking for career advancement or are looking to transition careers, Detroit Mercy's Master of Science in Applied Data Analytics will teach you the skills to enhance decision making based on science and data. Related fields to data analytics include economics, business, statistics, math and computer science.

The program aims to provide students with a deeper understanding and a hands-on approach to the processes necessary to analyze raw data, extract key facts, develop decisive insights and capitalize on effective, evidence-based decisions. It aspires to teach students how to turn analytics into action and leverage the trend of big data to improve the quality of decision-making critical to an organization’s viability in a highly dynamic and ever-changing marketplace.

Who should apply to the Analytics program?

The Master of Science in Data Analytics program accepts domestic and international students who have acquired knowledge of basic algebra, some statistics and the ability to think analytically. Undergraduate degrees well suited for this position include political science, economics, business, finance, computer science and health care. You will earn the same degree online as you would on campus.

What can I do with a master's degree in applied data analytics?

The era of Big Data now cuts across industry and job functions requiring administrators and employees to have varying degrees of aptitude in data analytics. Related job titles include Data Scientists, Economist, Data Analyst, Data System Developers, Analytics Managers and Data-Driven Decision Makers.

The skills taught in this program are applicable across any industry. You will learn how to think like a data scientist to frame questions, identify, collect and analyze complex datasets, make predictions based on your analysis and communicate those results to a range of audiences.

What else should I know about data analytics?

Data analytics is the science of using data to build models that lead to better decisions that, in turn, add value to individuals, companies and institutions. Data analytics is an umbrella term, encompassing business analytics, business intelligence, data analytics, and data science.

Big data refers to large amounts of information and works hand-in-hand with data analytics. Examples of big data include social media, text analytics (i.e. customer sentiment and keywords), HR analytics (i.e. employee attrition), customer lifetime value (i.e. loyalty card purchases), crime prevention, among others. Harnessing the power of data allows you to change the world in all kinds of interesting ways.

There are three different types of analytics for handling big data: descriptive, predictive and prescriptive analysis. The latter, prescriptive analysis, combines the first two and is the most useful to businesses. This type of analytics not only tells what probably will happen but also what should be done if and when it happens. The Master of Science in Applied Data Analytics program provides the fundamentals of reasoning/analysis, working with specific software, data mining and hands-on projects.

The key to understanding big data derives from analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them. The data scientist also happens to positioned among the highest-earning jobs and something you’ll learn more about within our Master of Science in Applied Data Analytics program.



Victoria Mantzopoulos, Ph.D.
Associate Dean
Academic Coordinator for International Programs

"In 2018, data and analytics can't be ignored — analytics will drive major innovation and disrupt established business models in the coming years. Technical professionals need to adapt their data and analytics architecture from end to end, to meet the demand for "analytics everywhere."

Gartner Research, 2018 Planning Guide for Data and Analytics

Apply Now