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Master of Science in Data Analytics, MS
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Data Analytics, master of science

The curriculum is part of DU’s continuing efforts to identify and respond to strong need in the marketplace. The program allows participants to focus on real-world examples from their industry and will provide exposure to many of the software programs used in data analytics, as well as develop advanced communication and presentation skills.
Training in data analytics can open many career doors. It is estimated that 30% of American Corporations do not know how or why they should implement data analytics efforts, yet it is also estimated that 1.5 million managers will need fluency to make policy decisions to optimize company resources. The Certificate version of this program would suit those needs. It is estimated that an additional 140,000 to 190,000 jobs for graduate-trained employees as business analysts, marketing analysts, applications analyst, informatics analysts, and fraud or risk analysts will become available by 2018. The master’s degree would serve those needs.

Who Is Eligible?

Individuals with a bachelor’s degree in engineering, science, math/statistics, finance, computer science, accounting or marketing who enjoy statistical and analytical thinking may excel in this field. Applicants should have at least a Bachelor’s degree with strong quantitative and analytical skills and an undergraduate GPA of 2.75 or higher, or a graduate GPA of 3.0 or higher.

Download a PDF of the Master of Science in Data Analytics.

Graduate Certificate in Data Analytics

Davenport University also offers the opportunity to earn a graduate certificate in Data Analytics. This 12-credit certificate can be completed after earning your bachelor's degree in engineering, computer science, science, mathematics, statistics, computational math, or accounting. Credits for the graduate certificate can be applied to the Master of Science in Data Analytics program. Learn more about our graduate certificate in Data Analytics

Additional Resources

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Full Curriculum


Data Analytics is used to analyze vast databases that must now be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. All aspects of the business and medical communities, as well as government agencies and non-profit organizations rely on data analytics, yet are hampered by a growing shortage of data analysts. Davenport is responding to these needs by creating a 30 credit Master of Science in Data Analytics. The MS is sponsored jointly by the College of Arts and Sciences in partnership with the Colleges of Technology, Business and Health Professions. The program is online and represents one of only a few online programs available nationally. This program is unique in that it is targeted towards individuals who must make recommendations on the use of analytics to a management team.

Program Eligibility

Individuals with a bachelor’s degree in engineering, science, math/statistics, finance, computer science, accounting or marketing who enjoy statistical and analytical thinking may excel in this field. Applicants should have completed at least one undergraduate course in statistics, with an undergraduate GPA of 3.0 or higher, or a graduate GPA of 3.4 or higher.

Which class should I take? When should I take it?
2017-2018 Recommended Program Sequence for Data Analytics, MS and printable pdf download

Core Courses12 cr.
DATA610Essentials of Business Analytics3 cr.
DATA625Data Mining3 cr.
DATA667Data Visualization and Communication3 cr.
DATA710Introduction to R Programming3 cr.
Advanced Courses15 cr.
DATA728Advanced Data Mining3 cr.
DATA742Principles of Data Warehousing3 cr.
DATA758Essentials of Cloud Computing3 cr.
DATA772Statistical Analysis of Data Analytics3 cr.
DATA785Predictive Modeling3 cr.
Capstone Project3 cr.
DATA792Data Analytics Capstone3 cr.