The Master of Science with a major in Data Science Program at Maryville University offers a 36 credit hour program (12 courses) leading to the Master of Science with a major in Data Science. The 12 required courses of the program are spread across four semesters, with three courses taken each semester. At least eight courses of data science (DSCI) at 500 level or above are required. The program allows for possible completion in three semesters.
Experiential Learning
With an emphasis on experiential learning, the Master of Science in Data Science program incorporates experiential learning from current or previous professional positions as an integral part of the active learning curriculum for each graduate course and for the overall program objectives.
Accelerated Master of Science in Actuarial Science, Data Science, and Artificial Intelligence
The Accelerated Master of Science in Artificial Intelligence, Data Science, or Actuarial Science provides a unique opportunity for Maryville University undergraduates majoring in Data Science to earn their master’s degree in just one additional year. Through this accelerated option, students can apply four courses (12 credits) taken during their senior year as part of their undergraduate curriculum towards their master’s degree requirements. In the fifth year of study, students will complete an additional 24 credits to fulfill the remaining requirements for the master’s degree.
To be eligible for early access to the Actuarial Science, M.S., Data Science, M.S., or Artificial Intelligence, M.S. students must have a minimum of 75 undergraduate credits, at least 20 of which must be earned at Maryville University. Additionally, applicants should have a minimum GPA of 3.25. It’s worth noting that Maryville students entering the accelerated master’s program are not required to submit GRE or TOEFL scores.
Additional Information
Students will also be able to complete coursework toward the following Certificate Programs:
Big Data Post Baccalaureate Certificate
Machine Learning Post Baccalaureate Certificate
Fundamentals of Artificial Intelligence Post Baccalaureate Certificate
For more information on graduate enrollment, please reach out via email to Joe Raggette at jraggettejr1@maryville.edu.
Data Science as a Career
The data scientist combines business, statistics, artificial intelligence (AI) and machine learning to advance human capabilities across various professional fields (business, engineering, health, social sciences, computer science, etc.). Data scientists work in all kinds of roles from large corporations to lean startups. Data scientists might help policy makers develop better decisions, or they might work in finance or healthcare. Data scientists are technically proficient and often use a number of computer code languages to compile and synthesize data. A background in advanced statistics and intermediate to advanced levels of programming skill are required. Depending on the field, data scientists also have to be creative to interpret and visualize data expressions.
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