This course is intended to provide a mechanism for MA students in Statistics who undertake on-campus project work or research. It is especially helpful for MA students who plan to apply for a Ph.D. after graduation.*
To be eligible:
- Research project and faculty mentor must be identified before a student can register.
- The faculty mentor must be an academic researcher (professor or research scientist under a university setting). Columbia faculty is preferred.
This research experience will be counted towards the MA in Statistics Degree if the project is relevant to the educational goals of our program.
At the start of each semester, an announcement will be sent to all MA Statistics Students with the deadline to apply.
Any student working on an eligible research project may send an email to Professor Alemayehu (email@example.com).
The email should include:
- A description of the research project
- Confirmation from the faculty mentor.
Once the project is approved by Professor Alemayehu, a student may contact Jill Forger or Dr. Turkowitz about course entry.
The course may be taken for P/F or for a letter grade. This must be indicated at the time of registration. Depending on whether the course is taken for P/F or a letter grade, the end-of-semester requirement is different:
- For P/F, a student must receive a letter from the faculty member certifying the student’s contribution to their research.
- For a letter grade, the student must submit a research report to the Faculty Director of the MA in Statistics program, Professor Alemayehu (firstname.lastname@example.org).
This course may be taken for one credit (Fall & Spring Semesters) or for zero credit (Summer Semester). This course may count for graduation once, but may not be repeated for additional graduation credit.
Questions about the course or about the research component of the course should be sent to Professor Alemayehu (email@example.com).
*Students who are looking for research projects are encouraged to participate in the activities organized by the Ma2PhD club.
Students who are not interested in pursuing a Ph.D. after graduation are recommended to focus instead on class projects, participate in activities organized by on-campus student associations such as the Statistics club or Columbia Data Science Society, and compete in data science hackathons/competitions.
All students are strongly encouraged to prioritize their performance in core required and elective courses before considering a research project or any extracurricular data science experience.