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Data Science

Major/Minor

Uncover Data Insights

Taylor’s Data Science major is built on both mathematical and computational reasoning and relies heavily on multi-disciplinary thinking. Our program will teach you how to collect raw data and how to make the data useful, turning the information into insights and predictions. Upon completing the program, you will be able to explore, understand, produce, and interpret data to make educated decisions in your field by using appropriate data analytic tools responsibly and effectively.

The Data Science degree program offers concentrations in Chemistry, Political Science, Sociology, and Systems so you can use your mathematical, computational skills in an area of interest. With these tracks, you’ll augment your Data Science curriculum with select classes in your focus area.

More Than a Numbers Game

At Taylor, you’ll do more than prepare for a strong career in data science. You’ll understand that it’s not just a numbers game; there are real people behind the data. We teach from a Christian perspective about stewardship of data usage. You’ll understand how the job you do directly impacts the livelihoods of others, and the importance of keeping in mind the people behind the numbers.

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Data Science Internships & Projects

Internships and class projects play a critical role in preparing students for life post-college. Our students have complete internships at NASA, National Security Agency, Wycliffe Bible Translators, Samaritan’s Purse, insurance companies, Water for Good, State of Indiana Department of Workforce Development, State of Indiana Department of Natural Resources, the San Francisco 49ers, and many more.

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Minor in Data Science

Interested in data and systems but don’t want to major in it? Our Data Science minor allows you to take classes that will give you a practical foundation to data science through the data analysis cycle of data acquisition, cleaning, transforming, modeling, and interpretation.

Hannah King
Class of 2020
"In the Taylor University Mathematics Department, I didn't just learn how to get the right answer; I learned how to ask the right questions."

Data Science Curriculum & Degree Options

Students interested in course descriptions and academic policies can check out our Undergraduate Catalog here.

Foundational Core

The Foundational Core classes will give you a big-picture view of how your calling connects with God's purpose for your life, engaging with ideas that will demonstrate how God has given you certain talents and skills to bring healing to the world. You’ll become a well-versed individual, equipped with critical thinking skills, a lifelong love of learning, and an appreciation for God's creation.

View Foundational Core Curriculum.

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Two students and a professor standing in front of a whiteboard wall

Expanding Your Understanding of Data

This Data Science program allows you to take classes from a Mathematics core and a Computer Science core. These classes will give you a practical foundation to data science through the data analysis cycle of data acquisition, cleaning, transforming, modeling, and interpretation.

You will start by employing modern tools and languages to access, interpret, analyze, and visualize data. All students in the Data Science major will choose to do an in-depth study of either data structure and algorithms, machine learning, or database systems. These tools will help you convey the important properties of coding, task workflows, databases, and data issues—ideas that go beyond the traditional disciplines of mathematics, statistics, and computer science.

In addition to the math and computer science concepts in Data Science classes, you will study principles of data visualization from graphic design and cognitive science. You will also learn to adapt to new questions, communicate assessments and results, create efficient workflows and data management systems, and work within the bounds of big data ethics. Your chosen concentration area–Chemistry, Political Science, Sociology, or Systems–will frame a deep understanding and application of Data Science. 



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