Full- Time Schedule: Review Program Requirements.
- Semester 1
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- GR 5203 Probability (3 points) – First half of the semester (core course)
- GR 5204 Inference (3 points) – Second half of the semester (core course)
- GR 5205 Linear Regression Models (3 points) – Full Semester (core course)
- One approved elective – Usually GR 5206 (Stat Comp, 3 points)
- RU (Residence Unit)
- GR 5203 Probability (3 points) – First half of the semester (core course)
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- Semester 2
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- Four electives*
- RU (Residence Unit) Allows a maximum of 20 points
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- Semester 3
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- Capstone Course:
- GR5291 Advanced Data Analysis (3 points) – To be taken in the second or last semester.
- GR5242 Advanced Machine Learning (3 points) – GR5241 is the prerequisite for this course.
- One or more electives*
- ER (Extended Residence Unit) Allows a maximum of 20 points
- Capstone Course:
*In addition to the three core courses (5203, 5204, 5205) and one capstone course (5291 and/or 5242), students must also complete the equivalent of at least six (3-pt) electives approved by their Faculty Adviser. At least three (3-pt) electives must be selected from the Statistics Department, upon approval by the Faculty Adviser. All courses must have a letter grade to count toward graduation.