Mathematical Statistics (M.A.)
Admission Requirements
Admission to this program is contingent upon admission to the Graduate School.
The entrance requirements for the master’s program in statistics includes successful completion of course work equivalent to the following:
| Code | Title | Credits |
|---|---|---|
| Calculus sequence: | ||
| Calculus I | ||
| Calculus II | ||
| Calculus III | ||
| MAT 2250 | Elementary Linear Algebra | 3 |
| MAT 2150 | Differential Equations and Matrix Algebra | 4 |
| or MAT 2350 | Elementary Differential Equations | |
| MAT 5070 | Elementary Analysis | 4 |
| At least 3 more credits in Mathematics at the 5000 level | ||
Credit accrued in courses such as the history of mathematics or the teaching of mathematics, in which the study of mathematics itself is not the primary purpose will not be counted toward this requirement.
Program Requirements
The Master of Arts in Mathematical Statistics is offered under the following options:
Plan A: Twenty-four credits in course work plus an eight credit thesis in the area of mathematical statistics.
Plan B: Twenty-seven credits in course work plus a three credit essay in the area of mathematical statistics.
Plan C: Thirty credits in course work.
Degree Requirements
| Code | Title | Credits |
|---|---|---|
| At least twenty-four credits in course work from the Department of Mathematics, including credits earned toward a thesis or essay under Plan A or Plan B options. | ||
| Select one of the following (if not previously taken): | ||
| Introduction to Analysis I and Introduction to Analysis II | ||
| Real Analysis I | ||
| Statistical Computing and Data Analysis and Introduction to Data Science | ||
| Select one of the following (if not previously taken): | ||
| Introduction to Probability Theory and Introduction to Stochastic Processes | ||
| Advanced Probability Theory I | ||
| Select one of the following (if not previously taken): | ||
| Introduction to Mathematical Statistics | ||
| Advanced Statistics Theory I | ||
| Select at least three additional courses of the following: | ||
| Statistical Computing and Data Analysis | ||
| Numerical Methods I | ||
| Numerical Methods II | ||
| Applied Linear Algebra | ||
| Algebra I | ||
| Algebra II | ||
| Topological Data Analysis | ||
| Introduction to Analysis I | ||
| Introduction to Analysis II | ||
| Introduction to Stochastic Processes | ||
| Mathematics of Finance | ||
| Mathematical Models in Operations Research | ||
| Introduction to Data Science | ||
| Applied Time Series | ||
| Methods of Optimization | ||
| Special Topics in Mathematics 1 | ||
| Advanced Linear Algebra | ||
| Complex Analysis | ||
| Design of Experiments | ||
| Applied Regression Analysis | ||
| Advanced Algebra I | ||
| Advanced Probability Theory I | ||
| Advanced Statistics Theory I | ||
| Advanced Statistics Theory II | ||
| Topics in Statistics | ||
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Topic has to be related to probability or statistics and needs the approval of the Departmental Graduate Committee.
A final oral examination. All students in Plan C are required to take this examination. Students in Plan A or B may, upon recommendation of the thesis or essay adviser, be excused from the final oral examination by the Departmental Graduate Committee.
A public lecture on the thesis or essay for each student in Plan A or Plan B.
By the time twelve credits have been earned, each student must submit a Plan of Work, approved by a departmental adviser, to the director of the program. In the Plan of Work, the student must choose Plan A, Plan B, or Plan C. The Plan of Work must be approved by the Departmental Graduate Committee, at which time the student will be advanced to candidacy. Students are not allowed to take more than twelve credits in the program unless candidacy has been established.
NOTE: Candidates for the Master of Arts in Mathematical Statistics are exempt from the Graduate School requirement that six credits in the major field must be in courses numbered 7000 and above.
NOTE: The following courses cannot be applied towards this degree:
| Code | Title | Credits |
|---|---|---|
| MAT 5000 | Fundamental Concepts of Mathematics and Proof Writing | 3 |
| MAT 5070 | Elementary Analysis | 4 |
| MAT 6130 | Discrete Mathematics | 3 |
| MAT 6140 | Geometry: An Axiomatic Approach | 3 |
| MAT 6150 | Probability and Statistics for Teachers | 4 |
| MAT 6170 | Algebra: Ring Theory Through Exploration, Conjecture, and Proof | 4 |
| MAT 6180 | Algebra: Group Theory Through Exploration, Conjecture, and Proof | 3 |
| MAT 6200 | Teaching Arithmetic, Algebra and Functions from an Advanced Perspective | 3 |
| MAT 6210 | Teaching Geometry, Probability and Statistics, and Discrete Mathematics from an Advanced Perspective | 3 |
Academic Scholarship: All course work must be completed in accordance with the regulations of the Graduate School and the College of Liberal Arts and Sciences.