Master's Degree in Mathematics
The Master of Science (M.S.) degree in Mathematics at Tulane University is designed to provide students with the opportunity to broaden and deepen their understanding of the core areas of mathematics. The program balances both theoretical and applied aspects of the discipline, emphasizing problem-solving, rigorous reasoning, and independent inquiry. Students may tailor their coursework to their interests and goals, preparing for doctoral studies or advanced professional careers in mathematics, education, data science, and quantitative fields in industry and government.
MS graduate advisor in mathematics (Prof. Rafal Komendarczyk) will work closely with each student to design a course of study that fits their academic preparation and career aspirations.
4+1 Accelerated Master's Program
Current Tulane undergraduate students can earn this M.S. degree with just one additional year of study. This accelerated program allows you to count graduate-level courses toward both your B.S. and M.S. degrees, providing a fast track to an advanced credential.
What You'll Learn
A graduating master’s student in Mathematics will have a strong foundation in analysis, algebra, and topology, as well as advanced knowledge in specialized areas of modern mathematics. The program emphasizes theoretical understanding and mathematical maturity, while allowing room for applied or interdisciplinary electives.
Research
Research opportunities in the Mathematics MS program allow you to deepen your understanding of mathematical theory and applications through independent investigation. Students pursuing the thesis option conduct original research under faculty supervision, producing a substantial thesis that demonstrates advanced mathematical thinking and contributes to the field. Through thesis research or independent projects, you'll develop the mathematical maturity and investigative skills essential for advanced careers in academia, industry, government, and quantitative fields.
Meet Our Faculty
Our mathematics faculty are accomplished researchers and educators with expertise spanning pure and applied mathematics, including analysis, algebra, topology, and specialized areas of modern mathematics. Faculty members are actively engaged in research across diverse mathematical disciplines and are committed to fostering theoretical understanding and mathematical maturity in their students. The MS graduate advisor works closely with each student to design a personalized course of study that aligns with your academic preparation and career aspirations, whether you're preparing for doctoral study or professional careers in industry and government.
Curriculum Requirements
1. Non-Thesis Option (default): Requires 30 credits (ten graduate courses) at the 6000/7000 level, including all five required courses and five electives.
2. Thesis Option: Requires 24 credits (eight graduate courses) at the 6000/7000 level, including four required and four electives, plus a written thesis and oral defense before a three-member committee.
Career Benefits and Pathways
Graduates of the M.S. in Mathematics program are well prepared for doctoral studies in pure or applied mathematics, statistics, or related quantitative fields, as well as professional positions in data analytics, finance, actuarial science, operations research, and scientific computing. Additionally, graduates are positioned for teaching positions in colleges or secondary education, and for technical and research roles in industry and government agencies.
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FAQs
Mathematics is the study of abstract structures, patterns, and relationships using rigorous logical reasoning and proof, encompassing both pure theoretical inquiry and practical applications to real-world problems. It provides the foundational language and tools for understanding everything from the physical universe to data analysis, finance, and computation, making it essential across science, engineering, technology, and countless other disciplines.
-Following SSE policy, all graduate students in the school must maintain a minimum 3.0 (B) GPA.
Grades: One B– triggers probation consideration; two B– grades or one grade below B– results in probation and possible dismissal. No course with a grade below B– counts toward the degree.
-Typically, up to 6 transfer credit hours may be applied toward the M.S. degree, consistent with SSE policy. Additional transfer credit hours (up to 6) may be applied with GSC approval.
-Residency: Students must maintain continuous registration until the degree is conferred.
-Academic Conduct: All students must adhere to the Unified Code of Graduate Student Academic Conduct.
Applicants must hold a bachelor’s degree in mathematics or a closely related discipline. Admission is competitive and based on academic preparation, GPA, and foundational coursework.
Minimum Requirements:
1. GPA of 3.0 or higher (on a 4.0 scale).
2. An average of 3.5 or better across four of the following undergraduate prerequisites:
- Real Analysis (MATH 3050/4060)
- Abstract Algebra (MATH 3110/4120)
- Topology (MATH 4410)
- Ordinary Differential Equations (MATH 4240)
- Linear Algebra (MATH 3090)
- Differential Geometry (MATH 4210 or equivalent)
Application Materials:
-Transcripts from all colleges/universities attended
-Personal statement outlining academic interests and goals
-At least one letter of recommendation
4+1 Tulane Applicants:
-Minimum 3.5 GPA and the relevant mathematics coursework
Applications are submitted online through the Tulane Graduate Application System. For questions regarding admission, applicants should contact Ilianna H. Kwaske, ikwaske@tulane.edu; for academic inquires regarding the MS Programs in Mathematics, please contact Prof. Rafal Komendarczyk, rako@tulane.edu.
Contact Us
Ilianna H. Kwaske, Ph.D.
Associate Dean for MS Programs & Professional Education
ikwaske@tulane.edu
Sarah Berry
Director of MS and Certificate Programs
smccarty@tulane.edu
Rosie Chavez
Director of Graduate Programs
rchavez@tulane.edu
Michelle Lacey
Mathematics Department Chair & Professor
mlacey1@tulane.edu
Prof. Rafal Komendarczyk
Director of Master's Programs (Mathematics)
rako@tulane.edu