Graduate Certificate Program in Statistics and Machine Learning
Princeton graduate students can now earn a Graduate Certificate in Statistics and Machine Learning as a complement to their departmental graduate studies. There are three requirements: completing appropriate course work, engaging in research involving statistics or machine learning, and participating in the CSML graduate seminar.
Data-driven research increasingly involves large-scale complex data analyzed using innovative methods from the fields of statistics and machine learning. This approach, coupled with advancing the underlying methods and algorithms, has become an essential component of modern scientific discovery. Princeton University is committed to playing a vital role in preparing students to lead in these areas.
Doctoral Degree Programs with links to Statistics and Machine Learning
CSML works with many participating departments at Princeton to enhance graduate education and research involving statistics and machine learning. All Princeton graduate students enroll in degree programs in home departments, and are encouraged to also participate in the center’s activities, courses, seminars, and other educational and research programs.
Graduate students can make extensive use of statistics and machine learning research in their doctoral studies in such areas as: