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Master of Science in Applied Data Analytics

Earn the graduate degree that's cracking the code on Big Data analytics

Person standing at bank of large data storage devices

What degree is best for data analytics?

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.

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.

 $118,370 per year 2018 median pay for computer and research scientists
16% job growth for Computer and Information Research Scientists
Computer and Information Research Scientists typically require master's degree

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.

Applicants for this program should enter with a  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.

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

Apply by Dec. 13, 2019. Classes start Jan. 6, 2020. 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.

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    Curriculum & Sample Syllabi

    The program consists of eight required courses, including a capstone project, and two electives. A dynamic list of courses developed and taught by faculty with expertise in a multitude of subject areas relevant to data analytics; including but not limited to business, economics, biology, neuroscience, education, and engineering. Upon completion of the program, students will be able to sift through mountains of data to extract simple relationships to identify new opportunities.

    Below are some sample syllabi for core and elective classes:

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    Admission Requirements

    In order to be admitted to the Master of Science in Applied Data Analytics program, an applicant must meet Detroit Mercy’s entrance requirements. The applicant must also have completed a baccalaureate or advanced degree from a regionally accredited college or university with a cumulative GPA of 3.0 or better. In certain cases, additional prerequisites may be required.

    To be eligible to apply for the program, you must have:

    • An undergraduate degree in computer science, business, economics, health care, political science or related field from an accredited college or university
    • 3.0 undergraduate grade point average
    • Basic knowledge of algebra, statistics and use of a computer.
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    Faculty

    Due to its interdisciplinary nature, the courses are developed and taught by the faculty with specific expertise and research interests. In addition, a capstone project offers students the opportunity to select and work on projects that focus on different discipline-specific content areas. Therefore, students can pursue a specific field of study that relates to their future career plan and a faculty member’s expertise.

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    Learn more 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.

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Contact:

Victoria Mantzopoulos, Ph.D.
Associate Dean
Academic Coordinator for International Programs
armstrov@udmercy.edu
313-993-3254

"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

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