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Online Master’s in Data Science Program Guide
Examples of data science at work are all around you. Facial-recognition algorithms identify familiar people to tag in your photos. Recommendation systems suggest products based on your previous purchases. Smart machines analyze disparate sets of financial data to calculate risk. Put the right data to work and you have the power to predict the future.
Earn your Maryville University online master’s in data science and learn how to recognize patterns in complex data structures and present valuable insights needed to predict behavior, identify trends, and make new discoveries.
Start your journey
At a glance
Apply with no entrance exams or fees, and choose from 3 start dates
Benefit from transfer credit friendly
admission
Access 100% online coursework with no campus visits required
Develop critical, in-demand coding skills in Python, SQL, R, and SAS
Build proficiencies in machine
learning, data mining, big data, and deep learning
Earn an experience-driven degree and learn from industry leaders.
Curriculum
We collaborated with industry leaders in data science to design a graduate-level program that reflects the field’s most sought-after skills. That means you’ll complete a 36-credit-hour curriculum focused on everything from machine learning and mathematics to predictive modeling and programming. Your coursework is also project-based — which means you’ll complete hands-on projects that allow you to see the practical application of your studies.
Required Data Science Courses
DSCI 501 | Math Modeling |
DSCI 502 | R Programming |
DSCI 503 | Python |
DSCI 504 | SQL |
DSCI 507 | SAS Programming |
DSCI 508 | Machine Learning |
DSCI 512 | Predictive Modeling |
DSCI 598 | Capstone Project |
DSCI 614 | Text Mining |
DSCI 617 | Big Data Analytics |
DSCI 618 | Experimental Design |
DSCI 618 | Experimental Design |
DSCI 619 | Deep Learning |
DSCI 624 | Data Visualization |
MATH 505 | Statistical Modeling I |
To ensure the best possible educational experience for our students, we may update our curriculum to reflect emerging and changing employer and industry demands.
Get full course descriptions
Admission Requirements
- Bachelor’s degree from a regionally accredited institution
- Minimum GPA of 3.0 on a 4.0 scale (college work)
- Applicants who do not meet the GPA requirement may be considered for provisional admission
- No GMAT or GRE required
- Click to view our transfer credit policy
- The acceptance of transfer credit is at the discretion of Maryville University
- Official transcripts required for all institutions previously attended
- 300- to 500-word personal statement
- Resume required
- International applicants (if applicable): Official Test of English as a Foreign Language (TOEFL with a score of 563, speaking sub-score of 23, writing sub-score of 20, reading and listening scores of 21, and a combined score of 85 or higher)
Explore our additional resources to help guide your admissions journey.
Accreditation and rankings
Not quite ready for a full master’s degree? We’ve got you covered.
After you earn your bachelor’s in data science, you can pursue a certificate in big data or machine learning, and create your own path in a high-growth, high-demand field.
At Maryville, we offer 100% online professional post-bachelor’s certificates in big data and machine learning designed to give you a real-world, project-based education tailored to your personal strengths and goals. Our programs can help you build a graduate-level foundation in these booming fields in just five courses (15 credit hours) — a fraction of the time it would take to earn a master’s degree. Then, if you decide to continue your education, you can apply all 15 credits toward a future master’s in data science.
Why Maryville Online?
We’ve been progressively challenging the norms of higher education for nearly 150 years. We started as one of the first universities to educate women. Today, we continue to push the boundaries and prepare students like you for a digital world. At Maryville, we understand what it takes to step beyond your comfort zone.
Maryville University is a nationally ranked private college recognized for comprehensive and innovative education focused on student learning, outcomes, and success — both online and on campus. We’re located just 22 miles from downtown St. Louis.
Faculty spotlight
Guangwei Fan, PhD, ASA
Professor of Data Science, Actuarial Science, and Mathematics
Dr. Guangwei Fan is an industry-leading scholar and passionate educator. With nearly 30 years of experience as an academic leader, he’s helped many Maryville graduates find work in their desired field. Now he can help you do the same.
In his career, Dr. Fan has investigated ways to expand how data scientists and mathematicians communicate with teams. He’s also published numerous papers in mathematics and actuarial science. He knows what it takes to model a future in data science — especially at a time when the field is rapidly growing.
At Maryville, we always put students’ needs and educational experiences first. Dr. Fan epitomizes that philosophy. He knows what it takes to model a future in data science — especially at a time when the field is rapidly growing. When you earn your online degree in computer science from Maryville, you can learn from industry experts like Dr. Fan who prioritize your success.
Start your journey today
Learn more about the Maryville University online master’s in data science.