Entry Requirements
 Everything can be filled out on line and submitted electronically. You can also print the completed forms and send them by regular mail.
 Applicants are encouraged to send/email any additional material (CV, research papers and preprints, etc.) that may bolster their applications directly to the graduate coordinator, Tai Huy Ha.
 The Institution Code for both GRE and TOEFL is 6173.
 Masters applicants are required to submit scores from either the GRE Mathematics subject test or from the GRE general test, or from both.
 The deadline is February 15th of each year for those requesting financial aid. Applications for admission without financial aid are due by June 1st for the fall semester and November 1st for the spring semester. Later applications will be reviewed on a casebycase basis.
Curriculum
To enter the program the student should have a Bachelor's degree in mathematics, or a related field, and have completed undergraduate courses in Linear Algebra and Differential Equations. Students without these prerequisites may take them without credit toward the M.S. degree. Partial tuition waivers may be available to qualified students.
List of required courses
 One Analysis Course (Math 6050/6060/7210)
 One Statistics Course (Math 6020/6030/6040)
 Math 73107320 Applied Mathematics III
 Math 7350 Scientific Computing I
 Math 7980 Reading and Research (3 credits  for those choosing the nonthesis option)
List of optional courses
 Math 6020 Mathematical Statistics
 Math 6030 Stochastic Processes
 Math 6040 Linear Models
 Math 60506060 Real Analysis III
 Math 6210 Differential Geometry
 Math 6300 Complex Analysis
 Math 72107220 Analysis III
 Math 75307540 Partial Differential Equations III
 Math 75707580 Scientific Computing IIIII
 Math 7730 Topics in Applied Mathematics
 Math 7740 Topics in Scientific Computing
 Math 7750 Topics in Partial Differential Equations
Math 798 consists of a semesterlong project in differential equations, scientific computation, optimization, analytical methods, engineering or other topics in applied mathematics. The project must be under the supervision of a faculty member from the Mathematics Department.

Nonthesis option:

Ten courses (30 credits) at the 6000/7000 level.

All six courses from the required list plus four additional courses from the optional list.

Other courses not listed may be substituted with the approval of the Graduate Studies Committee. Up to six credits may be transferred from other departments or institutions with the approval of the Graduate Studies Committee.


A fourhour written examination to be taken upon completion of the course work, with topics drawn from differential equations, and scientific computation. The student is given two chances to pass this exam. The Ph.D. Qualifying examination in Applied Mathematics or Scientific Computation can be substituted for the Masters exam.

A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.


Thesis option:

Eight courses (24 credits) at the 6000/7000 level.

The first five courses from the required list plus three additional courses from the optional list.

Other courses not listed may be substituted with the approval of the Graduate Studies Committee. Up to six credits may be transferred from other departments or institutions with the approval of the Graduate Studies Committee.


A thesis approved by the thesis committee consisting of a faculty member acting as advisor and two additional faculty. The thesis is typically much more substantial than the Math 798 project.

A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.

TOP M.S. in Statistics Requirements
The Master of Science degree in Statistics combines theory and application. Students in statistics will be trained in data collection, the editing and presentation of large data sets, the analyses of these sets and the mathematical foundations upon which all of these areas are based. The training has the twofold purpose of preparing the student to enter commercial, governmental and other work areas which extensively rely on statistical information and to prepare the student to continue in pursuit of a more advanced degree. Students with appropriate background (three semesters of Calculus and some knowledge of elementary statistics) usually complete the program in one or two academic years. Partial tuition waivers may be available to qualified students.
Course prerequisites include the equivalent of Math 601: Probability and Statistics and Math 609: Linear Algebra. Students without these prerequisites may take them without credit toward the M.S. degree.
List of required courses
 Math 6020/7240 Mathematical Statistics
 Math 6030/7030 Stochastic Processes
 Math 6040/7260 Linear Models
 Math 7360 Data Analysis
 Math 7770 Topics in Statistics
 Math 7980 Reading and Research (3 credits)
List of optional courses
 Math 6350 Optimization Theory
 Math 7370 Time Series Analysis
 Math 7550 Probability
 Math 7570 Scientific Computation II
 Math 7210 Analysis I
 Math 7770 Topics in Statistics
 Bios 7080 Design of Experiments
 Bios 7150 Categorical Data Analysis
 Bios 7400 Clinical Trials
Math 798 consists of a semesterlong project in statistical data analysis, biostatistics, economics, environmental science, engineering, geology, or psychology. The project must be under the supervision of a faculty member from the Mathematics Department and must be approved by the student's advisor.

Nonthesis option:

Ten courses (30 credits) at the 6000/7000 level.

All six courses from the required list plus four additional courses from the optional list.

The student must have an advisor from the Prob/Stat group. Other courses not listed may be substituted with the approval of the student advisor and the Graduate Studies Committee. Up to six credits may be transferred from other departments or institutions with the approval of the student advisor and the Graduate Studies Committee.


A fourhour written examination to be taken upon completion of the course work, with topics drawn from probability, stochastic processes, and statistics. The student is given two chances to pass this exam. The Ph.D. Qualifying examination in Statistics can be substituted for the Masters exam.


Thesis option: There is no thesis option for the M.S. in Statistics.
4 + 1 M.S. program in Statistics
This program enables students to obtain a B.S. in mathematics in 4 years, and in one additional year, to obtain an M.S. in statistics. Students may present up to four of the following core courses for both their B.S. in mathematics and their M.S. in statistics, provided they obrtain a grade of B or better in each.
At the discretion of the Statistics Coordinator and the Student's advisor, other similar courses may be subsituted for courses on this list. Students should normally apply in their third year at Tulane, should have a gradepoint average of at least 3.0 in major courses, and obtain a positive recommendation from two Mathematics faculty. The GRE is not required.
Course  Description 

MATH 6020 
Mathematical Statistics 
MATH 6030/7030 
Stochastic Processes 
MATH 6040 
Linear Models 
MATH 6350 
Optimization Theory 
MATH 6710 / 7210 
Analysis I 
MATH 7360 
Data Analysis 
MATH 7550 
Probability 
MATH 7770 
Topics in Probability and Statistics 
Note: Any student planning to receive more than one M.S. degree must satisfy all requirements of each degree with no more than two crosslisted courses.