Data scientists are in high demand, with employment in industries ranging from astronomy to zoology expected to increase by more than a third between 2023 and 2033, according to the U.S. Bureau of Labor Statistics.
The University of Toledo is meeting this demand for data-savvy professionals who can make sense of vast troves of information with courses and degree programs in academic colleges across the University. Now these faculty experts from diverse disciplines who teach and research on data are coming together under the new School of Interdisciplinary Data Science in the College of Natural Sciences and Mathematics.
Undergraduate Data Science Degrees:
According to U.S. News and World Report Best Jobs 2025, information security analysts, software developers and data scientists ranked among the top jobs in terms of pay and demand:
Want More Info?
(B.S. degree)
(B.S. degree)
(B.S. degree)
Data Analytics vs. Data Science?
Data scientists create predictive models to help organizations predict future trends, such as "what will happen next?" or "how can we make that happen?". They use machine learning, deep learning, predictive modeling and natural language processing (NLP) to uncover patterns in data.
Data analysts collect, clean and organize data. They use tools like Excel, SQL and Python to analyze trends and create reports that help organizations understand their performance
Curricula in the data science and data analytics programs at UToledo are interdisciplinary, reflecting the interdisciplinary nature of the field, with students enrolling in courses ranging from object-oriented programming in the College of Engineering to visual literacy in the College of Arts and Letters.
Director: Dr. William (Bill) Kalies
william.kalies@utoledo.edu
UH 4110H | 419.530.2069