Graduate Programs in Mathematics and Statistics at BGSU
The Department of Mathematics and Statistics offers three Master's and three Ph.D. degrees. The Master's degrees are the Master of Arts degree with three tracks (Pure Mathematics, Applied Mathematics / Scientific Computation, and Statistics), and the Master of Science in Applied Statistics degree (jointly with the Department of Applied Statistics and Operation Research). The Ph.D. degrees are the Doctor of Philosophy degree in Mathematics, the Doctor of Philosophy degree in Statistics, and the Doctor of Philosophy degree in Data Science. The MS in Applied Statistics is offered jointly with the Department of Applied Statistics and Operations Research, and the PhD in Data Science is offered jointly with the Department of Applied Statistics and Operations Research and with the Department of Computer Science.
The doctoral program comprises three research-oriented doctoral degrees (Ph.D. in Mathematics, Ph.D. in Statistics, and Ph.D. in Data Science), which are designed for advanced investigations on the theory and applications of mathematics and statistics. The purpose of the program is to train mathematics, statistics, and data science students at the highest level of education and equip them with a wide range of analytical skills, research abilities, and teaching strategies. Graduates of the programs are prepared to be researchers or teachers actively advancing their research areas, enthusiastically engaging mathematical/statistical thinking with scientific planning into other fields, and consistently enhancing public education on mathematics, statistics, and data science.
The current graduate faculty in the Department consists of accomplished scholars and productive investigators with research strengths in the areas of algebra, analysis, applied mathematics, mathematics education, probability, and statistics. These research strengths provide an academic environment to nurture and facilitate Ph.D. candidates in the program for their career development. In this academic environment, students not only enjoy numerous opportunities for participation in faculty’s research endeavors, but also boost their creative thinking ability in research frontiers pursued by the faculty.
Admission requirements for the Ph.D. program are a master’s degree in mathematics or statistics from an accredited institution with a minimum GPA of 3.2 on a 4-point scale. The Graduate Record Exam (GRE) General Test is temporarily not being required but is still welcome as part of your application. The TOEFL or IELTS is required for all international applicants whose native language is not English. In some cases, interested students with a master’s degree not in mathematics or statistics but in a field substantially associated with mathematics or statistics may be admitted as long as the applicant is able to demonstrate sufficient training in mathematics and statistics.
Addressing the Need of the State/Region:
The Ph.D. program serves the need of the State of Ohio and the region in terms of training high intellectuals to lead state economic development. The program provides the state with doctoral graduates employed as regular or administrative faculty at Ohio colleges and universities, such as Youngstown State University, Ohio University, Heidelberg College, Ohio Northern University, and University of Findlay. The program also provides the state with graduates playing key roles in Ohio government agencies and industries, such as Nationwide Insurance.
Since its inception in 1975, the program has trained more than 100 graduates working in academies, government, and industries across the United States. The doctoral program is reviewed regularly as part of the University’s Program Review process.
The Master program comprises three different tracks (pure mathematics, statistics, and applied mathematics / scientific computation) for the Master of Arts program; one Master of Science in Applied Statistics program jointly with the Department of Applied Statistics and Operation Research; and one Master of Arts in Teaching program in the field of mathematics. Through proper selection of course work, students in the Master programs can prepare for direct entry into careers in business, industry, government, and education, or for study toward a Ph.D. in mathematics, statistics, or data science.
1. M.A. in Pure Mathematics
This track of the M. A. program is designed for students interested in obtaining a broad background in mathematics. By appropriately selecting the core courses, students may pursue for their professional goals in different subjects of pure mathematics with numerous options. Career paths include further graduate work leading to a Ph.D. degree in mathematics, employment in industry or government, and teaching at a two-year college. The written comprehensive exam for this track consists of a three-hour algebra exam and a three-hour analysis exam.
2. M.A. specialization in Statistics
This track is planned for students interested in career preparation in the field of statistics or biostatistics. It may serve as a terminal degree or lead to further study towards a Ph.D. in statistics degree. Prospective occupations include statistician/biostatisticians in industries such as pharmaceutical companies, financial analysts in actuarial sciences, or teachers in statistics. The written comprehensive exam for this track consists of a four-hour probability and statistics exam, and a two-hour subject exam.
3. M.A. specialization in Applied Mathematics / Scientific Computation
This track is intended for students interested in applied mathematics. Students choosing this option are expected to have completed courses in linear algebra, advanced calculus, ordinary differential equations, and a programming language such as C, C++, Python, Java, or Matlab before (or soon after) entry. The written comprehensive exam consists of two three-hour exams based on courses in analysis and applied mathematics.
M.S. in Applied Statistics
The Department of Mathematics and Statistics and the Department of Applied Statistics and Operations Research jointly offer this degree. The prerequisites for this program include preparation in statistics, linear algebra, and advanced calculus. A student who does not meet all of these requirements may be permitted to enter the program and make up deficiencies during the first year. The written comprehensive examination of this program consists of two four-hour exams, one in applied statistics and the other in mathematical statistics.
Updated: 01/04/2023 12:10PM