Master of Science in Mathematics

In the MS in Mathematics program students choose between two tracks that focus on either pure or applied mathematics. Small class sizes and close mentoring by faculty create a positive environment designed to help students succeed in their academic and life goals. Graduates of this program have a more comprehensive and deeper view of mathematics, leading to diverse career opportunities in teaching, industry, or doctoral studies in mathematics. Past graduates are employed at community colleges and universities, in actuarial science, computer science, accounting/finance, and the oil and gas industry. 

Additional information: Reference the Program Landing Page for additional information, such as cost, delivery format, contact information, or to schedule a visit.

Applicants seeking admission to the graduate program in Mathematics must submit the following directly to the Office of Graduate Admissions:

  1. Graduate Application
  2. Application fee
  3. Official transcript(s) of all previous college work

Letters of recommendation are optional.  An overall undergraduate GPA of 3.0 or higher is preferred for admission into the Mathematics program. Based on a review of an applicant's undergraduate transcript, the Department of Mathematics and Statistics may require completion of undergraduate stem courses as a condition for admission.

The M.S. in Mathematics program at SHSU is a 36 credit hour program.  Students may choose either the Pure Mathematics or the Applied Mathematics tracks. Full time students can expect to complete the program within two years. Degree requirements include a common core of 15 credit hours, an additional 12 credit hours of coursework within the designated concentration, completion of two comprehensive exams within the designated concentration, and successful completion of either a research project guided by one of our graduate faculty or an internship with a local employer.

Master of Science (M.S.) in Mathematics 

Master of Science in Mathematics
Required Courses
MATH 5397Discrete Mathematics3
MATH 6333Foundations Of Analysis I3
MATH 6335Algebra I3
MATH 6368Numerical Linear Algebra3
MATH 6379Functions Of Complex Variable3
MATH 6380Research Methods in Mathematics3
Additional Track Coursework18
Total Hours36

Addition Coursework: Pure Mathematics Track

Master of Science in Mathematics: Pure Track
Required Courses
MATH 6332Introduction To Topology3
MATH 6336Algebra II3
Additional Coursework
Four graduate courses in MATH or STAT selected in consultation with the Graduate Advisor12

Additional Coursework: Applied Mathematics Track

Master of Science in Mathematics: Applied Track
Required Courses
STAT 5361Theory and Application of Probability3
MATH 6376Foundations of Applied Mathematics3
MATH 6394Scientific Computation3
Additional Coursework
Three graduate course in MATH or STAT in consultation with the Graduate Advisor9

The Texas Higher Education Coordinating Board (THECB) marketable skills initiative is part of the state’s 60x30TX plan and was designed to help students articulate their skills to employers.  Marketable skills are those skills valued by employers and/or graduate programs that can be applied in a variety of work or education settings and may include interpersonal, cognitive, and applied skill areas.

The MS in Mathematics, Pure Track is designed to provide graduates with the following marketable skills:

  • Expertise in mathematical analysis and problem solving that is applicable in a wide variety of industry-related positions.
  • Expertise in mathematical writing.
  • Experience in multiple phases of course preparation and teaching of mathematics at the freshman level.
  • Preparation for further study at the doctoral level in mathematics and other closely related areas.

The MS in Mathematics, Applied Track is designed to provide graduates with the following marketable skills:

  • Expertise in mathematical analysis and problem solving that is applicable in a wide variety of industry-related positions.
  • Knowledge of building, analyzing, and interpreting mathematical models.
  • The ability to effectively describe quantitative results using both written and oral communication formats.
  • Experience with industry standard computing software packages such as Matlab, Python, and R.