Department of Mathematics and Statistics

Graduate Studies

Master of Science Degree Programs

Graduate education at Stephen F. Austin State University is viewed as an extremely important step following the undergraduate experience. The goal of the University is to stimulate the graduate student to seek a deeper understanding of his/her chosen field of study so that an enjoyable and productive life may be more easily attainable. Thus, the graduate course of study consists both of instruction and research pursued in an atmosphere of uninhibited intellectual inquiry.

For more information and to apply:

Graduate Study in Mathematics and Statistics

Recognizing that the ability to think independently and to analyze and solve problems found in business, industry, and the academic world are valuable skills, the Department of Mathematics and Statistics has designed graduate programs of study with three goals in mind. One such goal is to prepare those who are planning to pursue further study in a doctoral program in mathematics and/or statistics. Another is to assist persons to obtain the necessary foundations which are required of those planning careers in the teaching professions at colleges, universities, or public schools. The third goal is to develop mathematicians and statisticians for business and industry.

Graduate Degrees

There are three graduate degrees offered by the Department of Mathematics and Statistics. The Master of Science Degree in Mathematics prepares students for employment in industry and in postsecondary teaching and also prepares them to continue their graduate education at the doctoral level in mathematics. The Master of Science Degree in Statistics prepares students for work in industry and for doctoral work in statistics. The Master of Science Degree in Mathematics Teaching prepares students for the teaching profession in the secondary schools. A more detailed description of the required courses for each of the three degrees is found in the Graduate Bulletin. A graduate student may choose to write a thesis in satisfying degree requirements for either the Master of Science Degree in Mathematics or the Master of Science Degree in Statistics.

Facilities for Graduate Work

The Department of Mathematics and Statistics has access to the large university computers and the Internet by way of the university computer network. The Department has its local network that is part of the university's network. In addition to those computers in faculty and graduate student offices, there are several networked computers available in two common access areas and there are two departmental computer labs for students and the faculty to use in conjunction with class work.

The mathematics building is adjacent to the University Library. The library's mathematics and statistics collections are extensive and are constantly being improved. Additionally, the library collection is accessible from the mathematics building via the networked computer system. Also, a modest library is maintained within the Department.

Colloquium Series

The Robert W. Yeagy Colloquium Series brings outstanding mathematicians from across the country and from within our own department to speak on topics of interest to the mathematics and statistics community.

Graduate Assistantships

A number of graduate assistantships are awarded each year by the Department. All graduate assistants are provided with carpeted, semi-private offices having phones and networked computer.

Graduate teaching assistants are granted faculty parking privileges and a large degree of teaching autonomy. They have complete responsibility for two sections of an undergraduate math course. Graduate assistants who do not teach perform other duties at the rate of 20 hours per week. These duties include grading for faculty, serving in department computer labs, assisting with a professor's classes, or serving as a research assistant for a professor.

Some summer support is generally available for continuing graduate students.

Graduate Faculty

Our faculty's fields of interest include abstract algebra, analysis, applied mathematics, combinatorial analysis, cryptography, functional analysis, graph theory, mathematical statistics, mathematics teaching, numerical analysis, partial differential equations, statistics, topological algebra, and topology.