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Maryville University Master of Science in Data Analytics online

Maryville University Master of Science in Data Analytics online

Use your knowledge of operational data, analytical tools, and industry programming languages to present data-driven insights. Develop specialized skills in data analytics to become an in-demand professional who can help organizations make strategic decisions and gain a competitive advantage.

12 months

Earn your degree in as few as 12 months.

No GMAT/GRE

No test scores or application fees required.

100% online

Complete coursework on your terms and your time.

About the program

  • Gain hands-on experience with leading technologies:

    Learn the ins and outs of leading technologies like R, Python, and Power BI that businesses use to make data-driven decisions.

  • Explore real-world insights from the experts:

    Learn from accomplished faculty members who bring current business trends into the classroom.

  • Complete your degree in just 30 credit hours:

    Six core courses with four electives, plus the opportunity to complete a certificate program, allow you to tailor your degree to your professional goals.

About Maryville University 

Maryville University’s mission is to provide access and opportunity to those who are brave enough to make their dreams a reality. Since 1872, Maryville University has offered a high-quality, student-centered educational experience by providing personalized, comprehensive support; a practical, future-focused education; and accessible and experienced faculty.

Tuition and fees

Tuition and feesTuitionUS$24,750

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials, if applicable.

Curriculum

An online Master of Science in Data Analytics from Maryville University will teach you how to collect, store, analyze, and interpret large amounts of data to solve real-world challenges. Your studies will provide you with a robust skill set in trend analysis, data-driven decision-making, and the ability to present complex information clearly, making you a valuable asset to employers.

  • Become a data-driven expert:

    Grow your skills in computer science, statistics, data mining, data modeling, business intelligence, dashboards, and visualization to mine and report out insights based on facts.

  • Gain in-demand data analysis and programming skills:

    Develop the expertise to combine operational data and analytical tools with mastery of programming languages such as R, Python, and Power BI to become a well-rounded data analytics professional.

  • Translate complex information clearly:

    Learn how to demystify data and present complex analytics in ways that nontechnical decision makers can understand to make informed business decisions.

Admissions

Maryville’s hassle-free application process is designed to remove roadblocks, so you can focus on what’s important: your growth and your goals. No application fees or GMAT/GRE scores are required. Depending on your background, a foundational course in accounting may be required. 

The program offers six start dates per year, offering great flexibility to enroll when the timing’s right for your schedule. Maryville considers all transfer credits, even if you earned them years ago.

The following materials are required to apply for admission: 

  • A simplified, no-cost online application

  • A bachelor’s degree from a regionally accredited institution

  • A minimum cumulative grade point average (GPA) of 2.5 on a 4.0 scale (Applicants with a GPA below 2.5 may be considered for provisional admission.)

  • Official academic transcripts (Maryville will request transcripts for you) 

  • A personal statement explaining your qualifications for graduate work 

  • English proficiency scores (International applicants may be required to submit scores that meet a certain threshold.)

Faculty

Frequently asked questions

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