Master of Science in Data Analytics

In today’s increasingly competitive marketplace, organizations need individuals with the requisite skills to transform the growing amount of industry, product, and customer (behavior) data into actionable information to support strategic and tactical decision making. The Master of Science (MS) in Data Analytics is designed to meet the rising need for highly skilled professionals who can transform the growing amount of data confronting all organizations into usable information for use by their decision makers. Students have the opportunity to gain hands-on experience with a variety of analytical tools available for the purpose of structuring large data sets to unearth hidden information to allow their organizations to build and sustain a long-term competitive advantage. The curriculum covers sophisticated software tools and functions such as data mining, predictive modeling, and visual analytics using large data sets.

Program Objectives

The program is designed to help students

  • Design and implement databases, dimensional models, and data warehousing strategies.
  • Transform large data sets into actionable information in an easy-to-understand format to support organizational decision making through the use of advanced analytical tools.
  • Manage the quality, security, and privacy of data relevant to an organization to enhance its value.
  • Manage data analytics projects to ensure delivery of a successful data analytics initiative throughout its life cycle.
  • Apply advanced methods of data warehousing and data mining in a variety of organizational environments.
  • Assess alternative approaches and infrastructures for implementing big data analytics.
  • Evaluate the appropriate methods and tools for data analysis in specific organizational contexts, including selecting a modeling approach, building a model using appropriate tools, validating the model, and deploying the model for prediction and analysis.
  • Develop experience tackling industry- and organization-specific problems and challenges using advanced analytics and computational methods.

Program Overview

The MS in Data Analytics requires completion of 39 credits in program coursework, including a 6-credit practicum.

Academic Preparation

To be admitted to a data analytics program, students must:

Submit official transcripts indicating completion of at least a bachelor's degree from a regionally accredited degree-granting university or college.

And meet one of the following criteria.

Scored in the 75th percentile on the quantitative section of the Graduate Record Exam (GRE) or the Graduate Management Aptitude Test (GMAT).

Or

Hold one of the following industry certifications:

  • IBM certification in Cognos, Risk Analytics, or SPSS
  • SAS certification in Foundation, Analytics, Administration, Data Management or Enterprise Business Intelligence
  • Microsoft certification (e.g., MCITP, MCSA, MCSE, MCSM, MCDBA)
  • Certified Business Intelligence Professional
  • Certified Analytics Professional
  • Certified Data Management Professional
  • Certified Health Data Analyst

Or

Earned a minimum grade of B from coursework at the 200-level or higher completed at a regionally accredited college or university in calculus, probability, statistics, computer programming, data structures, database development or data mining (official transcript required).

Career Paths

  • Data analytics specialist
  • Data analyst
  • Business intelligence analyst
  • Business analyst
  • Marketing analyst

Overall Degree Requirements

Initial Requirement to be taken within the first 6 credits of study

  • UCSP 615 Orientation to Graduate Studies at UMUC (0)

Course Sequencing 

Courses must be taken in the order listed. 

Required Main Courses 

Required Practicum Course 

Dual Degree Options

Master of Business Administration

Students who complete the MS in Data Analytics can elect to pursue the following degree as part of a dual degree option:

This dual degree is one-directional. Students must complete all requirements for the MS in Data Analytics before starting the MBA program.

Required Courses to Earn the MBA as a Second Degree

UCSP 615 Orientation to Graduate Studies at UMUC (0), to be taken within the first 6 credits of study.

  • DMBA 610 Ethical Leadership in Organizations and Society (6)
  • DMBA 620 Effective Financial and Operational Decision Making (6)
  • DMBA 630 Marketing and Strategy Management in the Global Marketplace (6)

Master of Science in Management: Marketing

Students who complete the MS in Data Analytics can elect to pursue the following degree as part of a dual degree option:

Required Courses to Earn the MSM as a Second Degree

  • MRKT 600 Marketing Management (3)
  • MRKT 602 Consumer Behavior (3)
  • MRKT 603 Brand Management (3)
  • MRKT 604 Marketing Intelligence and Research Systems (3)
  • MRKT 606 Integrated Direct Marketing (3)
  • MRKT 671 Special Projects in Marketing Analytics (3)

Contact Me

Apply Now

Or call 800-888-UMUC (8682) to speak directly with an advisor.

Affordable State Tuition Rates

TOTAL CREDITS
39

TOTAL TUITION
Before financial aid or scholarships.

$27,066

See full tuition rates and fees or estimate your cost of attendance.

Video: The Big Data Revolution is Here

Watch this video to learn about the sources of fast-growing data. Then view the companion big data infographic to explore data analytics careers.

Learn More

Data Analytics

Dual Degree Option

With just a few additional courses, you can enhance the power of your MS in Data Analytics by pursuing a second degree in the following areas:

  • Master of Business Administration
  • Master of Science in Management: Marketing

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