MS Track in Applied Statistics and Optimization

The MS Track in Applied Statistics and Optimization will enable a student to gain basic expertise in Statistics and Operations Research and to augment it with specialized coursework that will provide training in applied aspects of statistics and optimization.

First-year Courses

The following two courses are required.

STOR 664 (formerly STAT174) Applied Statistics I - Fall

STOR 612 (formerly OR210) Models in Operations Research – Fall

In addition the student must take at least two more of the following courses:

STOR 555 (formerly STAT127) Mathematical Statistics - Fall

STOR 665 (formerly STAT175) Applied Statistics II - Spring

STOR 614 (formerly OR211) Linear Programming – Spring

STOR 641 (formerly OR220) Stochastic Models in O.R. I - Fall

STOR 762 (formerly OR233) Discrete Event Simulation – Fall

Additional course requirements

At least 2 additional STOR graduate-level courses must be taken.

A total of 10 courses, plus the STOR Presentation Course, must be taken. The 10 courses may include one semester of STOR 992 (M.S. Essay).

M.S. Paper

Each student in the INSTORE program must complete an M.S. Paper. The alternative “M.S. Thesis” option is not used in this program. The student must register in STOR 992 and a STOR faculty member must be either the advisor or co-advisor. The topic of the paper should be broadly within the areas of Applied Statistics and Optimization.