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Maryville University Master of Science in Data Science online

Maryville University Master of Science in Data Science online

Learn how to collect and analyze data, manage teams, and create data-driven strategies to help organizations leverage the right data, at the right time, to make informed business decisions. Earn an experience-driven degree that can help prepare you to become a data scientist across various industries.

2 years

Earn your degree in as few as two years.

No GMAT/GRE

No test scores or application fees required. 

100% online

Complete coursework on your terms and your time. 

About the program

  • Develop critical skills in an in-demand market:

    Master essential programming languages including Python, SQL, R, and SAS that are highly valued by today’s employers.

  • Learn from leaders in data science:

    Leading practitioners and experienced data scientists will help you bridge the gap between theoretical and practical applications.

  • Tap into a robust network of data science resources:

    Connect with Maryville’s alumni, faculty mentors, the Data Science Club, the Data Science Career Fair, and industry partners who are invested in your success.

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$29,700

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

With Maryville University’s 100% online Master of Science in Data Science, you’ll earn an experience-driven degree that was built with input from employers and partners who use big data across a diverse range of industries. The graduate-level program blends classroom coursework with hands-on projects, allowing you to apply your knowledge to real-world scenarios and gain valuable experience.

  • Master advanced topics:

    Expand your knowledge of data science and become proficient in forward-thinking topics including machine learning, data mining, big data, and deep learning.

  • Choose electives that align with your goals:

    Personalize your graduate degree with courses that align to your professional and personal interests, with electives in statistics and probability, business, and actuarial science.

  • Learn how to find the data that makes a difference:

    Prepare to collect and analyze data, manage teams, and create data-driven strategies that solve real-world challenges.

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. The program offers three start dates per year, so you can align your educational journey with your schedule. Maryville considers all transfer credits, even if you earned them years ago.

Eligible applicants to the Master of Science in Data Science online program need a bachelor’s degree from a regionally accredited institution with a minimum cumulative grade point average (GPA) of 3.0 on a 4.0 scale. Applicants with a GPA below 3.0 may be considered for provisional admission.

The following materials are required to apply for admission:

  • A simplified, no-cost online application

  • Official academic transcripts (Maryville will request transcripts for you). This includes undergraduate (and, if applicable, graduate) transcripts showing courses taken, and grades received from any previously attended college or university. 

  • Résumé

  • 300–500-word essay describing your interest in the program; your qualifications for the program; and how a MS in data science complements your career and educational goals

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

Faculty

Frequently asked questions

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