Master's Program in Statistics
Overview
The Master of Science (M.S.) degree in Statistics at Tulane University provides rigorous and comprehensive training in probability, statistical inference, data analysis, and modern computational methods. The program emphasizes both theoretical foundations and hands-on applications, preparing students for professional careers in data science, analytics, biostatistics, government, and industry, as well as for doctoral studies in statistics or related quantitative fields.
The MS graduate advisor in Statistics (see the contact below) will work closely with each student to design a course of study that aligns with their academic preparation, background, and career goals.
Flexible Paths to a Tulane Master’s in Statistics
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. The M.S. in Statistics is a non-thesis program.
Resources
Graduates of the M.S. in Statistics program are well prepared for:
• Professional careers in data science, analytics, biostatistics, actuarial science, and quantitative research.
• Positions in government, healthcare, pharmaceuticals, consulting, and technology sectors.
• Doctoral studies in statistics, biostatistics, machine learning, econometrics, or related quantitative disciplines.
• Technical roles involving statistical modeling, data-driven decision making, and computation.
A graduating master’s student in Statistics will have a strong foundation in probability, inference, data analysis, linear models, and computational methodology. The program emphasizes theoretical understanding, practical modeling skills, and modern computational tools used in applied statistics and data science.
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) policy.
The M.S. in Statistics is a non-thesis program requiring 30 credits (ten courses) at the 6000/7000 level, including all core courses and seven electives.
Core Courses
• Probability Theory I
• Math 6020/7240: Mathematical Statistics
• Math 6040/7260: Linear Models
Optional Courses
• Math 6030/7030: Stochastic Processes
• Math 6280: Information Theory
• Math 6370/7370: Time Series Analysis
• Math 6350: Optimization Theory
• Math 7360: Data Analysis
• Math 7550: Probability Theory II
• Math 7570: Scientific Computation II
• Math 7210: Analysis I
• Math 7770: Topics in Statistics
• Approved 7000-level Biostatistics/Bioinformatics courses
Notes:
• All 7000-level Mathematics or approved Biostatistics courses count toward the degree.
• With prior GSC approval, up to 6 credit hours may be taken in other Tulane departments.
Academic Requirements (see the Mathematics Graduate Handbook for further details)
• Following SSE policy, all graduate students 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 more) 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, statistics, data science, or a closely related discipline. Admission is competitive and based on academic preparation, GPA, and foundational coursework in probability, calculus, and linear algebra.
Minimum Requirements:
1. GPA of 3.0 or higher (on a 4.0 scale).
2. Evidence of preparation in:
- Calculus and Multivariable Calculus
- Linear Algebra
- At least one course in probability or mathematical statistics (recommended)
Application Materials:
• Transcripts from all colleges/universities attended
• Personal statement outlining academic interests and goals
• At least one letter of recommendation (optional but encouraged)
4+1 Tulane Applicants:
• Minimum 3.5 GPA and adequate preparation in statistics and 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 Statistics please contact Prof. Gustavo Didier, gdidier@tulane.edu.
