The program requires courses specific to the area of statistics, and the student is required to finish ten 4-credit courses and two 1-credit capstone seminars for a total of 42 credits. An exit exam or final thesis is not required.
Sample Schedule
Fall 1st Year (12 credits) | Spring 1st Year (12 credits) |
Math 501 (4) Math 530 (4) Math 531 (4) |
Math 502 (4) Math 532 (4) Math 570 (4) |
Fall 2nd Year (9 credits) | Spring 2nd Year (9 credits) |
Elective #1 (4) Elective #2 (4) Math 540 (1) |
Elective #3 (4) Elective #4 (4) Math 541 (1) |
Grade Requirements
In addition to the course requirements (24 credits from 6 core courses, 16 credits from 4 elective courses, and 2 credits from 2 capstone seminars), the student must maintain at least a B average (GPA 3.0) in these courses and have a minimum grade not lower than B– in these courses. In addition, the student must have a minimum grade not lower than B in the two capstone seminars.
Course Catalog
Core Courses (24 credits) |
|||
Course number |
Title |
Credits |
Semester |
Math 501 |
Probability |
4 |
1F |
Math 502 |
Statistical Inference |
4 |
1S |
Math 530 |
Linear Algebra |
4 |
1F |
Math 531 |
Regression (I) |
4 |
1F |
Math 532 |
Regression (II) |
4 |
1S |
Math 570 |
Applied Multivariate Analysis |
4 |
1S |
Elective Courses (16 credits from any 4 courses below) |
|||
Course number |
Title |
Credits |
Semester |
Math 534 |
Data Analysis |
4 |
2* |
Math 535 |
Statistical Learning and |
4 |
2* |
Math 536 |
Nonparametric Smoothing and Semiparametric Regression |
4 |
2* |
Math 537 |
Reliability |
4 |
2* |
Math 538 |
Sequential Analysis |
4 |
2* |
Math 553 |
Nonparametric Inference |
4 |
2* |
Math 554 |
Sampling Theory |
4 |
2* |
Math 556 |
Design of Experiments |
4 |
2* |
Math 557 |
Survival Analysis |
4 |
2* |
Math 559 |
Time Series Analysis |
4 |
2* |
Math 573 |
Applied Probability and Stochastic Processes |
4 |
2* |
Capstone Seminars (2 credits) |
|||
Course number |
Title |
Credits |
Semester |
Math 540 |
Capstone |
1 |
2F |
Math 541 |
Capstone |
1 |
2S |
Doctoral Level Courses (may be taken as electives) |
|||
Course number |
Title |
Credits |
Semester |
Math 555 |
Linear Models |
4 |
|
Math 558 |
Multivariate Statistical Analysis |
4 |
|
Math 571 |
Advanced Probability Theory |
4 |
|
Math 572 |
Stochastic Processes |
4 |
|
Math 579 |
Advanced Statistical Inference |
4 |
Request more information
Learn more about our MA in Statistics program at Binghamton
Apply
Enroll in the MA in Statistics program at Binghamton Apply Now