Master's Program in Applied Mathematics
Overview
The Master of Science (M.S.) degree in Applied Mathematics at Tulane University provides rigorous training in mathematical modeling, differential equations, numerical methods, and scientific computing. The program emphasizes the interplay between advanced mathematical theory and real-world applications in science, engineering, and technology. Students develop strong analytical and computational skills that prepare them for doctoral research or applied careers in industry, government, and research laboratories.
The MS graduate advisor in Applied Mathematics (see the contact below) will work closely with each student to design a course of study that fits their academic preparation and career aspirations.
Paths to a Tulane Master’s in Applied Mathematics
The program accommodates several types of students:
• 4+1 M.S. students, who complete both a Tulane B.S. and M.S. in five years.
• Full-time students, who typically complete the M.S. in three semesters.
Degree requirements are consistent across all study modes. Students who begin as Ph.D. students in Mathematics are not eligible for the standalone M.S. program.
Resources
Graduates of the M.S. in Applied Mathematics program are well prepared for:
• Doctoral studies in applied mathematics, scientific computing, engineering, and related quantitative fields.
• Professional positions involving modeling, simulation, optimization, and data-driven decision making.
• Careers in software development, quantitative analysis, operations research, and machine learning.
• Technical and research roles in industry, government agencies, and national laboratories.
A graduating master’s student in Applied Mathematics will have a strong foundation in analysis, probability/statistics, differential equations, and numerical computation, as well as advanced knowledge in specialized areas of modern applied mathematics. The program emphasizes mathematical modeling, algorithmic thinking, and the application of theoretical tools to real-world scientific and engineering problems.
Students design their coursework plan in consultation with the Director of Graduate Studies (DGS) and the Graduate Studies Committee (GSC) to ensure timely progress and compliance with School of Science and Engineering (SSE) policies.
1. Non-Thesis Option (default): Requires 30 credits (ten graduate courses) at the 6000/7000 level, including all six required courses and four electives.
2. Thesis Option: Requires 24 credits (eight graduate courses) at the 6000/7000 level, including five required courses and three electives, plus a written thesis and oral defense before a three-member committee.
Required Courses
• One Analysis Course: MATH 6050, 6060, or 7210
• One Statistics Course: MATH 6020, 6030, 6040, 7360, or 6370/7370
• MATH 7310–7320: Applied Mathematics I–II
• MATH 7570: Scientific Computing II
• MATH 7980: Reading and Research (3 credits; required for non-thesis option)
Optional Courses
• MATH 6030: Stochastic Processes
• MATH 6040: Linear Models
• MATH 6050–6060: Real Analysis I–II
• MATH 6210: Differential Geometry
• MATH 6300: Complex Analysis
• MATH 7210–7220: Analysis I–II
• MATH 7350–7540: Partial Differential Equations I–II
• MATH 7580: Scientific Computing III
• MATH 7730–7750: Topics in Applied Mathematics and Scientific Computing
• MATH 7980: Additional Reading and Research
Notes:
• All 7000-level Mathematics courses count toward the M.S. in Applied Mathematics.
• The 6000-level Mathematics courses that routinely count are those listed above.
• With prior GSC approval, up to 6 credit hours may be taken in other Tulane departments (e.g., Physics, Engineering, Computer Science).
(see the Mathematics Graduate Handbook for further details)
• 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, applied mathematics, engineering, physics, computer science, 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. Preparation in:
- Calculus and Multivariable Calculus
- Differential Equations
- Linear Algebra
- At least one advanced mathematics course (for example, Real Analysis, Numerical Analysis, Probability, or Partial Differential Equations)
Application Materials:
• Transcripts from all colleges/universities attended
• Personal statement outlining academic interests and goals
• At least one letter of recommendation (optional)
4+1 Tulane Applicants:
• Minimum 3.5 GPA and completion of the relevant mathematics and applied mathematics coursework
Current tuition and fee information is available at studentaccounts.tulane.edu/tuition-and-fees.
Applications are submitted online through the Tulane Graduate Application System. For questions regarding admission applicants should contact Prof. Marie Dahleh, mdahleh@tulane.edu; for academic inquiries regarding the M.S. Programs in Applied Mathematics please contact Prof. Rafal Komendarczyk, rako@tulane.edu.
