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 36 credits in program coursework, including a 6-credit practicum.

Academic Preparation

To be admitted to the 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.

Coursework (200-level or higher) in linear algebra, calculus, discrete mathematics, probability, statistics, hypothesis testing, estimation, computer programming, data structures, database development, or data mining from a regionally accredited college or university (official transcript required) with a minimum grade of B


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


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


Students who have not had any recent programming coursework, or who have experience in old programming languages such as COBOL or PRG, are strongly encouraged to take UCSP 635 and UCSP 636 prior to taking any DATA courses.

Students who have taken an introductory computer programming course, or are well-versed in C#, C++, Java, or Python, you do not need to take UCSP 635 and UCSP 636.

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 Science in Data Analytics / Master of Business Administration

If you began this program prior to fall 2016 and maintained continuous enrollment, you may be able to add a Master of Business Administration and earn a dual degree. You must complete all requirements for the first degree before beginning the MBA. Please contact an advisor at 855-655-UMUC (8682) to establish a plan for completing the dual degree.

Required Courses

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)

* The UCSP 615 requirement may be waived if you previously earned a graduate degree from a regionally accredited institution. For more information, contact your academic advisor.

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Or call 855-655-UMUC (8682) to speak directly with an advisor.

Affordable State Tuition Rates


Before financial aid or scholarships.


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

Award-Winning Program

The MS in data analytics won both the Outstanding Program Award and the Partnership Award at the UPCEA 2016 Mid-Atlantic Region Conference.

The National University Technology Network awards review committee has selected the MS in data analytics as a finalist for the 2016 Distance Education Innovation Award., an online source for information on affordable college education, has ranked UMUC among its Top 50 Best Value Online Big Data Programs of 2016.

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

Related Certificates

Upcoming Event

Webinar: MS in Data Analytics

Wednesday November 9, 2016

Courses of Interest

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