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Bachelors from Maryville University
Prepare for a career in data science by completing courses in Python, SQL, R, predictive modeling, and machine learning. Learn how to provide fresh business insights rooted in statistical theory and technical savviness.
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Gain practical knowledge through project-based learning as well as an immersive, optional field experience.
Stand out to prospective employers with a minor in business administration or a concentration in actuarial science.
Graduate faster if you previously earned college credits. Maryville considers all transfer credits, even if you earned them years ago.
In the Bachelor of Science in Data Science program, you’ll engage in a range of relevant course topics, from machine learning to Python. Learn how to explore, analyze, monitor, manage, and visualize large data sets using the latest technology — and develop skills in data analysis, predictive modeling, computer science, statistics, and economics.
Build your foundational knowledge as a data analyst and specialize your degree.
Choose a concentration in actuarial science and take expert-led courses that prepare you for careers in risk assessment and management.
Start a path toward leadership positions by learning skills in marketing, management, finance, and business ethics.
Complete courses in Python, SQL, R, predictive modeling, and machine learning, and learn how to use data to drive critical business decisions.
Junah Castil, Class of 2022
Danielle Van Komen, Class of 2019
Maryville’s Early Access program allows you to earn up to 12 credits toward your master’s degree during the last leg of your undergraduate degree. Once you’ve completed 90 credit hours or more of your bachelor’s degree (with a GPA of 3.25 or higher), you may be eligible to get a head start on your master’s degree.
Through Maryville’s Early Access, you can take graduate-level courses that count toward your undergraduate and graduate degrees. Graduate-level Early Access courses are billed at the undergraduate tuition rate, so you can not only save time but also money.
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