General requirements: 36 units of coursework and a thesis. Six units may be for thesis research. The minimum residence requirement is one full academic year of graduate study. A grade point average of "B" or better must be maintained in graduate course work.

Course requirements: The student must take (or have taken) the following 5 required courses in mathematics or their equivalents: 493 and 494 (probability and mathematical statistics) or 5061 and 5062 (theory of statistics); 429 (linear algebra) or 4392 (advanced linear statistical models); 439 (linear statistical models); and 475 (statistical computation) or a suitable substitute elective approved by the department. In the case that an equivalent course has been taken and also proficiency in the course material has been demonstrated, other 400-level and above electives may be substituted in consultation with the advisor.

Additional 400-level or higher electives will be chosen by the student in consultation with his or her advisor to make up the 36 units. Typically, at most two electives shall be chosen from outside the Mathematics Department. If not taken before, a course in C programming is strongly recommended but cannot be included among the courses used to satisfy the 36 units requirement.

**Possible electives include:***MATH 449 Numerical Methods (F)MATH 4111 Introduction to Analysis (F) Math 4121 Introduction to Lebesgue Integration (S)Math 420 Experimental Design (SE)*

*Math 4121 (S) Introduction to Lebesgue Integration*

MATH 4301 Multilevel Modeling (POLI SCI 584C) (F)

MATH 434 Survival Analysis (FO)

MATH 4392 Advanced Linear Statistical Models (SO)

MATH 4301 Multilevel Modeling (POLI SCI 584C) (F)

MATH 434 Survival Analysis (FO)

MATH 4392 Advanced Linear Statistical Models (SO)

*Math 449 Numerical Applied Mathematics*

MATH 459 Bayesian Statistics (S)

MATH 495 Stochastic Processes (SO)

MATH 5061-62 Theory of Statistics I / II (F)/(S)

MATH 523C Information Theory and Statistics (ESE 523)

MATH 551 - Advanced Probability I

MATH 552 - Advanced Probability II

MATH 5021 - Complex Analysis I (F)

MATH 5022 - Complex Analysis II (S)

MATH 5031 - Algebra I (F)

MATH 5032 - Algebra II (S)

MATH 5041 - Geometry I (F)

MATH 5042 - Geometry II (SE)

MATH 5051 - Measure Theory and Functional Analysis I (F)

MATH 5052 - Measure Theory and Functional Analysis II (S)

BIO 4181 Population Genetics

BIOL 5483 01 Human Linkage and Association Analysis

BIOL 5495 01 Computational Molecular Biology

CSE 514A Data Mining

MEC 670 - Seminar in Econometrics

ESE 522 - Random Variables and Stochastic Processes II

*(F)*MATH 459 Bayesian Statistics (S)

MATH 495 Stochastic Processes (SO)

MATH 5061-62 Theory of Statistics I / II (F)/(S)

MATH 523C Information Theory and Statistics (ESE 523)

MATH 551 - Advanced Probability I

MATH 552 - Advanced Probability II

MATH 5021 - Complex Analysis I (F)

MATH 5022 - Complex Analysis II (S)

MATH 5031 - Algebra I (F)

MATH 5032 - Algebra II (S)

MATH 5041 - Geometry I (F)

MATH 5042 - Geometry II (SE)

MATH 5051 - Measure Theory and Functional Analysis I (F)

MATH 5052 - Measure Theory and Functional Analysis II (S)

BIO 4181 Population Genetics

BIOL 5483 01 Human Linkage and Association Analysis

BIOL 5495 01 Computational Molecular Biology

CSE 514A Data Mining

MEC 670 - Seminar in Econometrics

ESE 522 - Random Variables and Stochastic Processes II

Please note: Not all courses are offered each year.

Courses are listed in numerical order. The letters in parentheses after the name of a course mean:

F = offered each fall

FO = offered each fall in odd-numbered years

FE = offered each fall in even-numbered years

S = offered each spring

SO = offered each spring in odd-numbered years

SE = offered each spring in even-numbered years

Math courses listed without one of these codes are offered based on demand.