Discover your future
It’s in the data
Learn to lead on the digital frontier. We collaborated with top employers to design our programs around the most important data science skills, so you can learn what you need to thrive in any field. Our dynamic, project-based coursework helps you build the practical experience to enhance your career — and prepare for advancement.
We offer three graduate-level programs, so you can choose the credential that best fits your background and experience:
- Master of Science in Data Science
- Post-Baccalaureate Certificate in Big Data
- Post-Baccalaureate Certificate in Machine Learning
This is your chance to do more than just work in data science. You can learn to lead in the field and make an impact in your organization. And we can help you do it. Let’s be brave together.
Information at a glance
Why choose our data science programs?
Choose Maryville, and you’ll have the opportunity to learn by doing. We built our programs with input from top employers who utilize data science across industries, so our coursework focuses on the most in-demand skills in the modern data science toolbox, like computer programming in a variety of languages, machine learning, predictive modeling, and big data analytics.
Our program features include:
Our online data science programs focus on practical, real-world application of theory and techniques in data science such as machine learning, predictive modeling, and computer programming. Our coursework is experiential and relevant to the modern data science landscape, so you can build high-level proficiency to thrive in this growing industry. All programs can be completed 100% online with no campus visits required.
Our Master of Science in Data Science (36 credit hours) covers topics meant to help you build your graduate-level foundations in data science and establish advanced knowledge in the field. We also offer 15-credit professional certificates in Big Data and Machine Learning that can be completed in less than one year. Your certificate coursework can be applied to a future master’s degree, saving you time if you choose to pursue further education.
SAS Programming. Focus on the development of programs that analyze data through a statistical model in SAS programming (also known as statistical analysis system programming). Learn skills that involve managing databases, interpreting raw data and trends, and updating database systems.
Big Data Analysis. In a big data analysis course, you can learn strategies for examining data and using it to make informed, data-driven recommendations and decisions.
Statistical Design. A firm grasp of statistics, mathematics, and design should give graduates with advanced data science degrees a strong foundation in the interpretation process.
Deep Learning. Deep learning is a form of machine learning that focuses on creating a digital neural network — much like our own brains — which can then interpret and learn from wide swaths of data.Get Full Curriculum
Accreditation and rankings
Maryville University is a nationally ranked private college recognized for comprehensive and innovative education focused on student learning, outcomes, and success.
Regionally accredited by the Higher Learning Commission
Ranked by Forbes among “America’s Top Colleges” for 2019
Listed among the “Best College Values 2019” by Kiplinger’s Personal Finance
Ranked among Money’s “Best Colleges” 2020