The program requires courses specific to the area of statistics and data science, 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 535 or 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) |
* If both Math 535 and Math 570 are completed, one will satisfy the required course requirement while the other will be counted as an elective.
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 535 / Math 570 |
Statistical Learning and |
4 |
1S |
Elective Courses (16 credits from any 4 courses below) |
|||
Course number |
Title |
Credits |
Semester |
Math 534 |
Data Analysis |
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 |
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