Teaching Assistant Assignments
Fall/Spring Semester
For the Fall and Spring semesters, Stat & DS will hire around 65 TAs each term.
Undergraduate Students
TA applications open in March for the following Fall semester. For the Spring semester, applications will open in November.
Where to find applications: All students in the Statistics program who are on our mailing list will be notified when applications have opened. Emails will also be sent to individual course rosters of courses that will need a TA in a future semester. The application and deadlines will be posted to our website soon.
Master of Science in Applied Data Science (MADS) Students
The Department of Statistics & Data Science will offer MADS students the opportunity to work as an Educational Assistant (serving as a TA, grading, or monitoring statistical labs, etc.), for both Fall and Spring semesters, for approximately 10 hours per week.
More information will be given to incoming students in the months leading to the start of the program.
Ph.D. Students
Depending on a student’s funding, and year in the Ph.D. program, they may have the option to TA for a class. This is not required by the program, but is an option each semester as a source of departmental funding.
Note: for students who want to go into a career in academia, having multiple TA experiences is highly encouraged.
Summer
For the Summer, Stat & DS will hire roughly 25 TAs between the first and second summer sessions.
Undergraduate Students
TA Applications will open in March for the summer semester.
Where to find applications: all students in the Statistics program who are on our mailing list will be notified when applications have opened. Emails will also be sent to individual course rosters of courses that will need a TA in a future semester. The application and deadlines will also be posted to our website [link here].
Ph.D. Students
To receive departmental funding, outside of a faculty advisor, a Ph.D. student would need to TA or be an instructor for a summer course. Summer courses are mostly led by Ph.D. students, allowing rich teaching opportunities.