Program: Computer Science, Specialization in Computational Data Science, B.S. - Bowling Green State University (2024)

The rapid advances in computer technology in today’s highly technological society have resulted in a continuing demand for computer science graduates. The computer science professional applies the basic principles of computing and the latest technological advancements to solve problems in business, education, and government. Graduates may work as systems analysts who design solutions to specific problems, applications programmers who translate these solutions into software, or technical support professionals who resolve a wide range of problems related to computer applications and use. Other career possibilities are system administrators, computer network administrators, or systems programmers.

Admission Requirement

A student who wishes to declare the major of Computer Science under either the Bachelor of Arts or Bachelor of Science must meet one of the following admission criteria:

• SAT - prior to March 2016: a score of 520 or higher on the Math section; or
• SAT - starting March 2016: a score of 550 or higher on the Math section; or
• ACT - an ACT math score of 22 or higher; or
• Prior completion ofMATH 99orMATH 1210, or equivalent.

Program Educational Objectives

Within five years after graduation, the graduates of the Bachelor of Science Computer Science program at Bowling Green State University will have demonstrated their ability to:

• Advance their careers or pursue graduate studies in the highly dynamic and continually changing field of computer science;
• Acquire new skills and master new technologies in order to successfully approach and solve real-world problems;
• Participate in and successfully complete both independent and collaborative technical projects.

Learning Outcomes

By the time of graduation, the students in the Bachelor of Science Computer Science program at Bowling Green State University are expected to be able to:

• Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions;
• Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline;
• Communicate effectively in a variety of professional contexts;
• Recognize professional responsibilities and make informed judgements in computing practice based on legal and ethical principles;
• Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline;
• Apply computer science theory and software development fundamentals to produce computing-based solutions.

Transfer courses included in the major carry a maximum of three hours of credit per course.

Students with a minor or joint major in MATH need not complete the MATH courses listed in “Other requirements.”

One departmentally approved internship (fall, spring or summer) is required.

Computational Data Science Specialization: Data Science is a rapidly evolving interdisciplinary field which is in high demand. The field requires both theoretical statistics background for data analysis and practical algorithmic computing skill for data processing. The Computational Data Science specialization gives students a strong foundation in machine learning, database management, and high performing computing, while providing a statistics background. A student interested in the application of computer science to computational data science is required to take CS 3200,CS 4170,CS 4620,CS 4630,MATH 3320, and one data science-related department-approved elective course. This specialization can be used to satisfy the minor requirement for a bachelor’s degree in computer science.