All students working toward graduate degrees must satisfy the general requirements as listed by the SSE.
Read below for specific requirements for the:
See a more detailed description of requirements »
Complete at least 48 hours of coursework. Up to two courses may be taken in another department with the approval of the Graduate Studies Committee. For advanced incoming students, limited (up to 9 hours) transfer credit is possible.
Pass the Placement Exam in linear algebra and advanced calculus. It will be taken at the beginning of the fall semester (the student’s first semester). If a student fails to achieve A- in the linear algebra portion, he or she will be required to enroll in Math 3090/6090. If the student fails to achieve A- in the advanced calculus portion, he or she will be required to enroll in Math 4060/6060. Read the Placement Exam syllabus for details and previous exams.
Pass qualifying written exams in Analysis and two others chosen from among:
Pass an oral exam on specific topics of research interest to the student.
Write a dissertation.
This program is designed to provide students with the opportunity to broaden and deepen their knowledge of core areas of mathematics. The course work is designed to provide both breadth of knowledge and depth in an area of interest to the student. This experience will prepare the student for further studies leading to a Ph.D. degree in mathematics. Partial tuition waivers may be available to qualified students.
Non-thesis option:
Ten courses (30 credits) at the 6000/7000 level.
All five courses from the required list plus five 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 four-hour written examination to be taken upon completion of the course work, with topics drawn from basic material in algebra, topology and analysis taught in the first-year graduate courses. The student is given two chances to pass this exam. One of the Ph.D. Qualifying examinations may be substituted for the Masters exam.
Thesis option:
Eight courses (24 credits) at the 6000/7000 level.
The first four 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 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.
This program is designed to provide students with the opportunity to broaden and deepen their knowledge of mathematics with an emphasis on those areas that have been most important in science and engineering. The student will also examine, through seminars and case studies, examples of significant applications of mathematics to other areas. This expanded base of knowledge, together with extensive experience in problem solving should prepare the student for further studies leading to the Ph.D. degree or for immediate employment in many areas of industry and government.
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.
Math 798 consists of a semester-long 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.
Non-thesis 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 four-hour 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++.
The Master of Science degree in Statistics combines theory and application. Our program emphasizes rigorous coursework in probability and mathematical statistics in addition to training in data analysis and computational methods. Graduates from the M.S. program may either directly enter the workforce as junior level statisticians or continue their studies 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 6070 (Introduction to Probability), Math 6080 (Introduction to Statistical Inference) and Math 6090 (Linear Algebra). Enrollment in prerequisites does not provide credit towards the M.S. degree.
Core Requirements
Math 7980 consists of a semester-long project completed under the supervision of a faculty member from the Mathematics Department, generally completed during the final semester of study.
Optional Courses
1. Non-thesis option:
a. Ten courses (30 credits) at the 6000/7000 level.
The four courses in the Core Requirements plus six additional courses from the optional list.
The student must have an advisor from the Probability and Statistics faculty. Other courses not listed may be substituted with the approval of the student advisor and the Graduate Studies Committee. Credits may be transferred from other departments or institutions with the approval of the student advisor and the Graduate Studies Committee.
b. A four-hour written examination to be taken upon completion of the core course work, with topics drawn from probability, linear models, 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.
2. Thesis option: There is no thesis option for the M.S. 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 grade-point 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 cross-listed courses.
Please contact the Graduate Coordinator if you have additional questions:
Tai Ha
Phone: (504) 862-3429
Office: Gibson 408
Mathematics Department, 424 Gibson Hall, New Orleans, LA 70118 504-865-5727 math@math.tulane.edu