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Master of Science in Data Analytics and Program Evaluation
Leverage a unique combination of data analytics and program evaluation skills to stand out as a data-informed leader.

Why earn a Master of Science in Data Analytics and Program Evaluation?

The Master of Science in Data Analytics and Program Evaluation is designed to provide students from various backgrounds with the critical skills needed to become data-driven leaders in the workplace. Coursework will allow students to develop a mastery of analytics software such as R, Python, SPSS, and SAS while positioning them for growth into leadership roles in their field. The curriculum is designed to keep up with the best practices and trends in today’s workforce, giving students a competitive edge in the job market and helping them achieve career growth across many in-demand industries.

Program At A Glance

10 courses

7 weeks per course

20 months to complete

SACSOC accredited

GMAT/GRE not required

1 cumulative project

Explore More About The Program

The Master of Science in Data Analytics and Program Evaluation was created by faculty with extensive quantitative and computational experience. The program’s courses provide actionable takeaways that students can immediately apply whether that be in their current roles or while seeking new professional opportunities. Explore more about our faculty, their curriculum, and related graduate certificates below.

Program Curriculum Program Faculty Graduate Certificates

Master in Data Analytics Career Opportunities

A master in data analytics degree is the key to unlocking a rewarding career in one of the market’s leading fields. From statistician to database administrator, there are many career paths graduates can take with a UOnline Master of Science in Data Analytics degree.

Whether you envision your future as part of a large international sales team or a small local engineering firm, every industry relies on data to measure success and identify where, when, and how to improve. Data analytics professionals are behind the scenes, making sure a business has the information it needs to thrive.

With a master's degree in data analytics, you’ll learn to spot new patterns, monitor current trends, and communicate the meaning of data. You may find yourself working as a data scientist, business analyst, or machine learning engineer — the options are endless! Salaries are competitive and the job market across Big Data is growing at a rapid pace.

Why are graduates with this valuable degree increasingly in high demand? Because data drives every good decision, from government research to customer satisfaction. According to the U.S. Bureau of Labor Statistics, there will be a 36% projected growth rate in demand for data scientists between 2021 and 2031.

An M.S. in data analytics allows for work flexibility so you can design the life you want. In today’s world, you’ll find in-person, remote, and hybrid positions that require a master's in data analytics degree. Similarly, choosing to earn your M.S. in data analytics online means you can enjoy learning from anywhere on your own time.

Discover what a UOnline Master's in Data Analytics degree can do for you. And imagine what you can do for the world. 


Master of Science in Data Analytics and Program Evaluation $2,310 30 $69,300 $41,580
Certificate in Data Management and Statistical Analysis $2,310 12 $27,720 $16,632
Certificate in Program Evaluation $2,310 12 $27,720 $16,632

*This is the total estimated cost of the program before potential financial assistance.
†Based on the UM 2022-2023 UOnline Tuition and fees rate. Tuition and fees are subject to change.

You can learn more about financial aid opportunities available to you here.

Summer 2023 Application Deadline

Ready to apply?

For students who wish to start classes in the Master of Science in Data Analytics and Program Evaluation on May 8, 2023, the deadline is April 17, 2023. Download the UOnline Application Checklist for a step-by-step guide through the simplified application process and contact an enrollment advisor to waive your $300 deposit fee.

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A Message from Dr. Soyeon Ahn

"The program emphasizes the hands-on practical application of conceptual and technical concepts in various research methodologies including quantitative, computational, and qualitative methods. Our goal is to support students in becoming strong users of methods to draw responsible, data-driven decisions that solve real-world challenges. Upon completion of this program, students will be capable of running different models using multiple data analytic tools including SPSS, SAS, R, Python, and Nvivo."

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