1. 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.
2. Pass the Placement Exam in linear algebra and advanced calculus. All PhD and MS (except 4+1) students must take the placement exam prior to begin with their program. 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.
3. Pass qualifying written exams in Analysis and two others chosen from among:
4. Pass an oral exam on specific topics of research interest to the student.
5. Pass a prospectus.
6. Write a dissertation.
View detailed description of requirements
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.
List of required courses:
List of optional courses:
1. Ten courses (30 credits) at the 6000/7000 level.
2. 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.
1. Eight courses (24 credits) at the 6000/7000 level.
2. 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 7980 project.
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 mathematics. Students may count up to 4 graduate courses for both the undergraduate and graduate degrees, provided two of the graduate courses are taken above the 120 hours required for the undergraduate degree (SSE rule).
All requirements listed under the MS in mathematics must be satisfied. 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 member. The GRE is not required.
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.
List of required courses:
List of optional courses:
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.
1. Ten courses (30 credits) at the 6000/7000 level.
2. 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.
3. A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.
1. Eight courses (24 credits) at the 6000/7000 level.
2. 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.
3. A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.
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 Applied Mathematics. Students may count up to 4 graduate courses for both the undergraduate and graduate degrees, provided two of the graduate courses are taken above the 120 hours required for the undergraduate degree (SSE rule).
All requirements listed under the M.S. in Applied Mathematics must be satisfied. 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 members. The GRE is not required.
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.
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:
Optional Courses:
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.
1. Ten courses (30 credits) at the 6000/7000 level.
2. 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.
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 obtain 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 substituted 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.
Math 6020: Mathematical Statistics
Math 6030/7030: Stochastic Processes
Math 6040: Linear Models
Math 6350: Optimization Theory
Math 6710 / 7210: Analysis I
Math 7150: Probability Theory I
Math 7360: Data Analysis
Math 7550: Probability Theory II
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 Director of Graduate Studies if you have additional questions:
Dr. Kyle Zhao
Phone: (504) 865-5015
Office: Gibson 417-B
