A Christian Liberal Arts University, Est. 1846

Data Science Minor

Data for Every Discipline

The data science field is growing exponentially—with applications in almost every discipline. No matter which career field you are interested in, a minor in Data Science would boost your employability and broaden your technical skillset.

Taylor’s Data Science minor is built on both mathematical and computational reasoning and relies heavily on multi-disciplinary thinking. This means your Data Science faculty will encourage you to explore how data concepts apply to your major.

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.

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 of 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 minor will choose to do an in-depth study of either data structure and algorithms, machine learning, or database systems, such as SQL. These tools will help you convey the important properties of computer codes, 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 your 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.

A Career or Master’s Degree in Data Science

While some careers in data science may require a master’s degree, Taylor’s Data Science curriculum has enough strength and breadth in its courses to prepare you for graduate school or several entry-level data positions—not only in Data Science but also in other areas, such as:

  1. Business (marketing, finance, accounting, etc.)
  2. Mathematics or statistics
  3. Computer Science

If you’re interested in data science, contact your Admissions Counselor for more information.

Data Science Curriculum & Degree Options

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

Contact the Mathematics Department

Dr. Jeremy Case, Department Chair & Professor of Mathematics
765-998-4845
jrcase@taylor.edu

Charity Bailey, Assistant to the School of Natural & Applied Sciences
765-998-5354
charity_bailey@taylor.edu

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