Each course has 3 points for a total of 12 points. This is the full-time schedule:
- Probability (GR5203, Section D04) 1st half of the semester – Core Course
- Inference (GR5204, Section D04) 2nd half of the semester – Core Course
- Linear Regression Models (GR5205, Section D05) full semester – Core Course
- Statistical Computation & Introduction to Data Science (GR5206, Section D01) full semester
International students in F-1 status are expected to take all four online courses offered during the first semester and achieve one Residence Unit (RU) worth of credit for a full-time schedule.
Domestic students have greater flexibility and need to discuss their choices with their faculty adviser. Stat Comp & Intro to Data Science (GR5206) is optional for domestic students, but recommended. It is a prerequisite for the popular course, GR5241—Statistical Machine Learning, and GR5242—Advanced Machine Learning, as part of the Data Science Sequence in Statistics.