Data Science

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 Biology, Chemistry, Physics, Political Science, Psychology, Public Health, Sociology, Sport Management, 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.

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.