Bachelor of Science
Computational Data Science
Computational data science is a rapidly evolving interdisciplinary field that is in high demand. A Bachelor of Science in computer science with a specialization in computational data science provides a successful career pathway into the field. This course of study requires both theoretical statistics background for data analysis and practical algorithmic computing skills for data processing.
Co-op/Internships and Careers
Computer science majors are required to complete one departmentally approved co-op experience. Students receive academic credit, valuable practical experience, and good pay for co-op experiences while growing both personally and professionally.
Average Starting Salary & BGSU Placement Rate
$54,877 — BGSU Bachelor of Science in Computer Science graduates average starting salary
98.77% of Computer Science graduates report they're employed, in graduate school or starting a business within six months of graduation
Go Far in your career
- Data Analyst
- Data Architect
- Data Engineer
- Data Scientist
- Machine Learning Engineer
- Software Engineer
- Database Administrator
- Program Requirements
- Sample Course Requirements
- Academic Investment in Math and Science (AIMS) Community
- Computer Science, Master of Science program
- Data Science, Master of Science program
- Data Science, Doctoral program
- Computer Science Faculty & Staff
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- Map out your Computational Data Science path
Computer science majors must meet one of the following admission criteria: an SAT math score of 550 or higher or an ACT math score of 22 or higher. Students not meeting these criteria will need to take appropriate math course(s) at the University before declaring their major to Computer Science. Many high schools do not offer courses in computer programming or computer science, and incoming students are not expected to have such a background.
Upon completion of the baccalaureate degree, students in computational data science will be able to:
- Analyze a complex computing problem and 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 judgments 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.
Bowling Green State University [BGSU] is accredited by the Higher Learning Commission. BGSU has been accredited by the Higher Learning Commission since 01/01/1916. The most recent reaffirmation of accreditation was received in 2012-2013. Questions should be directed to the Office of Institutional Effectiveness.
The Bachelor of Science in Computer Science program is accredited by the Accreditation Board for Engineering and Technology, Inc. (ABET) and is in good standing.
Bowling Green State University programs leading to licensure, certification and/or endorsement, whether delivered online, face-to-face or in a blended format, satisfy the academic requirements for those credentials set forth by the State of Ohio.
Requirements for licensure, certification and/or endorsement eligibility vary greatly from one profession to another and from state to state. The computational data science program does not lead to professional licensure.
* Job placement and salary information was compiled by the Office of Academic Assessment through the Graduation Survey from AY2015-2018. The data are gathered around the time of Commencement and a follow-up survey six months post Commencement. For the salary question, data for programs with fewer than fifteen responses are not included. Salaries for those programs are from the National Association of Colleges and Employers Summer 2019 Survey. For questions regarding the data, contact email@example.com.