Doctor of Philosophy in Statistics and Operations Research

The Doctor of Philosophy program prepares students to pursue careers in research and/or teaching in multidisciplinary that utilize the tools of statistics and operations research augmented by other quantitative tools. The program currently offers three specialized tracks: Machine Learning, Business Analytics, Computational Finance. Students must choose a track to enroll in at the beginning of their first semester. Students enrolled in a track follow a customized set of courses designed to provide a deeper theoretical understanding of the subject matter of their chosen track. If needed, a student can petition to get a specific set of courses approved as a personalized track. However, this will require approval by the advisor and the faculty of the department. Under special circumstances, a student may be allowed to change tracks. However such a change must be approved by the graduate advisor, and can result in a delay in the completion of degree requirements. The course requirements for each track are described later.

A bachelor's degree (based on a four-year curriculum) completed before graduate study begins or its international equivalent with an accredited institution an average grade of B (cumulative GPA 3.0) or better. One unofficial transcript from each university attended must be uploaded within the application. All unofficial transcripts must be uploaded to your application in order for your application to be reviewed. Please do not mail transcripts as part of your admission application; we only accept unofficial uploads for application evaluation. If you are offered admission, one official transcript for each university attended will be required prior to the first day of the term. IELTS -7.0 , TOEFL IBT- 90