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Get Online Data Analytics Master's | University of Miami

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Master's 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.

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Master's in Data Analytics Online

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. While earning an MS in data analytics, online coursework will allow students to develop a mastery of high-demand analytics software including R, Python, SPSS, and SAS while positioning them for growth into leadership roles in their field. To help students succeed after completing their online master's, analytics courses and the program’s curriculum are regularly updated to reflect best practices and trends of today’s workforce, providing students with in-demand skills and a competitive edge in achieving career growth in any industry.

 

  


PROGRAM AT A GLANCE

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10 courses

7 weeks per course

20 months to complete

SACSOC accredited University

GMAT/GRE not required

1 cumulative project

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Explore More About The Program

The Master of Science in Data Analytics and Program Evaluation is created by faculty with extensive quantitative and computational experience. Lessons have actionable takeaways that can immediately be applied in professional life and leveraged for tangible career growth. To learn more about our online Data Analytics Master's degree, explore more about our faculty and their curriculum below.

Program Curriculum Program Faculty Graduate Certificates


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Master in Data Analytics Career Opportunities

Completing your master's in data analytics online 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 when they complete their MS in data analytics online.

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.

When you study for your online analytics master's degree, 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 online master's in 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 in Data Analytics degree. Similarly, choosing to earn your Master's in Analytics online means you can enjoy learning from anywhere on your own time.

Discover what earning your master's in data analytics online can do for you. And imagine what you can do for the world.


Tuition

PROGRAM CREDITS WHAT MOST STUDENTS PAY
Master of Science in Data Analytics and Program Evaluation 30 $37,950
Certificate in Data Management and Statistical Analysis 12 $15,180

*Based on the UM 2024-2025 UOnline Tuition and fees rate. Tuition and fees are subject to change.
You can learn more about financial aid opportunities available to you here.


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Summer 2025 Early Admission Deadline

Ready to apply?

For students who wish to complete their Masters in Data Analytics online and start classes on May 5, 2025, the early admission deadline is March 10, 2025. Download the UOnline Application Checklist for a step-by-step guide through the simplified application process.

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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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