Prospective Students
Why Graduate Study in Computer Science, Software Engineering, and Data Science?
Computing and data-driven technologies now shape nearly every sector of the global economy. From artificial intelligence and cybersecurity to cloud computing and advanced analytics, organizations depend on professionals who can design systems, manage complex infrastructures and extract insight from data.
A graduate degree deepens technical expertise beyond the undergraduate level while strengthening analytical thinking, research capability and leadership skills. Whether your goal is professional advancement, career transition or doctoral-level research, advanced study in computing and data science provides durable skills that remain valuable even as technologies evolve.
At BGSU, students can pursue:
- M.S. in Computer Science – for advanced technical depth and research preparation
- M.S. in Software Engineering (100% Online) – designed for working professionals and career changers
- M.S. in Data Science – multidisciplinary preparation in analytics and machine learning
- Ph.D. in Data Science – research-intensive training for scholarly and innovation leadership
Each program is designed to align with current workforce needs while maintaining strong academic rigor.
Advising Questions?
Dr. Venu Dasigi
Graduate Coordinator
Hayes 246
Phone: (419) 372-7559
Email: vdasigi@bgsu.edu
M.S. in Computer Science is ideal for students seeking advanced technical depth in core computing areas such as algorithms, systems, artificial intelligence and software engineering. The program is well suited for those who want to strengthen their analytical and research skills, pursue specialized technical roles in industry, or prepare for doctoral study in computer science or related fields.
M.S. in Software Engineering (Online) is structured for working professionals and career changers who want to enter or advance within software development and technology leadership roles. The fully online format offers flexibility for those balancing professional responsibilities, and a prior degree in computer science is not required. The program emphasizes practical software design, system architecture and modern development practices aligned with industry needs.
M.S. in Data Science integrates computer science, statistics and applied analytics to prepare students for high-demand roles in data-driven organizations. Students develop expertise in programming, machine learning and statistical modeling, positioning them for careers in analytics, artificial intelligence and quantitative decision-making, as well as for future Ph.D. study.
Ph.D. in Data Science prepares scholars and research leaders to advance machine learning, statistical modeling, big data systems and ethical data practices through original research. The program is designed for individuals seeking academic careers, research-intensive positions or leadership roles requiring deep expertise in data science methodology and innovation.
Students should have a background equivalent to the core undergraduate computer science curriculum, including programming (C or C++), object-oriented programming, operating systems, data structures, computer organization, discrete mathematics and calculus. Deficiencies may be addressed through preparatory coursework or substantial professional experience.
This program is designed to accommodate working professionals and career changers. While prior technical experience is beneficial, a bachelor’s degree in computer science/software engineering is not required. Applicants should demonstrate quantitative ability and readiness for graduate-level study.
Applicants should have preparation in programming and foundational mathematics or statistics. Additional preparation may be required depending on academic background.
Applicants must hold a master’s degree in mathematics, statistics, computer science, data science or a closely related field. Students without sufficient background may be required to complete additional preparation.
Applicants to all graduate programs must submit: International applicants must submit TOEFL, IELTS or PTE Academic scores (ELS 112 completion is also accepted). Applicants who have completed a degree from a U.S. institution or from an English-instruction institution (per Graduate College guidelines) may be exempt from English proficiency testing. Additional admission information, including international application procedures and graduate assistantship opportunities, is available through the Graduate College.
Applicants are encouraged to submit materials well in advance of the posted deadlines. International students should allow sufficient time for visa processing and related documentation.
Fall Admission
For students seeking admission to begin in the Fall semester:
- January 15 is the deadline for all applicants who wish to be considered for a graduate assistantship.
- March 1 is the deadline for international applicants who are not seeking a graduate assistantship.
- April 30 is the deadline for domestic applicants who are not seeking a graduate assistantship.
Applications submitted after April 30 may be considered if space remains available; however, review of later applications is not guaranteed.
Applicants interested in assistantship support are strongly encouraged to apply by the January 15 priority deadline, as most graduate assistantships are awarded for Fall admission.
For the M.S. in Software Engineering (100% Online) program, applications may be considered up to three weeks prior to the start of the Fall semester, subject to space availability.
Spring Admission
For students seeking admission to begin in the Spring semester (January), the application deadline is October 15.
Applications submitted after October 15 may be considered if space remains available; however, review of later applications is not guaranteed.
Please note that not all graduate programs admit students for Spring entry, and graduate assistantship opportunities are typically not available for Spring admission, as most assistantships are awarded to students beginning in the Fall semester.
Prospective students are encouraged to confirm program-specific availability and funding options prior to applying.
Questions?
Prospective students are encouraged to review all program information carefully before beginning the application process. Questions about academic preparation, program fit or application procedures may be directed to the department’s graduate coordinator.
Updated: 03/03/2026 04:56PM