Mathematics/Data Science

Bachelor of Science
College of Arts and Sciences

Data science is an interdisciplinary field that aims to extract knowledge or insight from large volumes of data in different forms. This field utilizes data preparation, statistical methods, computer programming, predictive modeling, and machine learning to investigate problems in various domains such as agriculture, marketing analysis, fraud detection, risk management, public policy, etc. Methods for handling big data are of particular interest in data science, although the data science discipline is not restricted to the size of the data.

Career Opportunities

A wide range of career opportunities in data science are available. A wide range of positions are available from many fields such as biotech, energy, finance gaming and hospitality, government, health care, insurance, manufacturing, pharmaceutical, retail, telecommunications, travel and transportation, and utilities. Data scientists are data wranglers. They take an enormous mass of data that can be unstructured and structured and use their skills in mathematics, statistics and programming to clean, massage and organize them. Then they apply industry knowledge, contextual understanding, and statistics learning algorithms to address specific problems that are posed.


The curriculum for the data science specialization begins with three semesters of calculus, a course in linear algebra, and an introductory course in computer programming These are some of the most useful courses in that they introduce fundamental tools for describing and understanding the world, especially science and business, and in that they lay the theoretical foundations for most later courses in mathematics and statistics.

There are required data science courses that describe the wide variety of data forms such as data tables, text, geographic, and images, and techniques for managing and exploring these data using a modern interactive programming system such as R. In addition, there are required courses in probability, regression analysis, and statistical learning that deals with modeling with many variables using supervised and unsupervised methods.

Elective courses for data science include statistical inference, exploratory data analysis, objected-oriented programming, data mining in business analytics, optimization techniques, and database management systems. A senior capstone project gives the opportunity for the student to practice data science in an application area. One special aspect of this capstone project is a summary report where the student communicates the benefit of the data exploration in the context of the applied problem.

Faculty and Facilities

The Department of Mathematics and Statistics has 30 faculty members, all who have advanced degrees in mathematics or statistics from leading universities. Nine of the faculty are devoted exclusively to teaching responsibilities. Beginning with calculus, all courses are taught in small sections to insure an appropriate level of personal attention.

Students utilize various software tools including Maple, Minitab, Matlab, Mathematica, R and Geometer’s Sketchpad. These are available in the Math Science Computer Laboratory, a classroom currently equipped with Dell All-In-One systems and in other computer labs around campus.

Part-time employment is available for undergraduates as tutors in the Learning Commons and the Math Emporium or as paper graders for the department.

Scholarships and Student Organizations

A number of scholarships exist specifically for students who declare a major in data science:

The department has an active chapter of the mathematics honorary society, Kappa Mu Epsilon, which organizes mathematics talks and social activities for undergraduates. The Actuarial Science Society brings prospective employers to campus for talks and interviews. There is also a chapter of the statistics honorary society Mu Sigma Rho.

A variety of honors courses and seminars are offered and there is the possibility of writing an honors research thesis in order to graduate with departmental or university honors.

Preparation for College

While it is not necessary to take calculus in high school, the department offers an advanced placement program to receive credit for all or part of the calculus sequence by taking the Advanced Placement Examinations of the College Entrance Examination Board while in high school.

Program details

To learn more about the official program of study for Data Science, please check the undergraduate catalog online at:

For Further Information

Internet Access

BGSU's website for future students contains University highlights, admissions procedures, financial aid information and many department profiles. It can be accessed at

The University

Bowling Green State University is a vibrant university that engages, challenges and prepares students for meaningful futures. At BGSU, students enjoy an education that integrates personal growth, academic excellence and an environment that expands their thinking and potential. A mid-size residential university, BGSU has an enrollment of approximately 20,000 and a full-time faculty of more than 900 on its main campus. More than 200 undergraduate majors and programs are offered as well as master's and doctoral level programs.

NOTE: Information in this guide is subject to change without notice. To learn more about the official program of study for Mathematics/Data Science, please check the undergraduate catalog online at: