Skip to main content


Last Updated

Questions about these requirements? See the contact info at the bottom of the page. 

PhD Program


For students entering the program during or after the fall of 2022, the course requirements are as follows: 

  1. At Harvard’s Statistics Department all courses marked 200-level are letter graded lecture courses, designed to be at the graduate level. All 300-level courses are not-letter graded and are mostly reading or seminar courses. GSAS requires all PhD. students to take 16 four-credit courses. In Harvard Statistics, 8 of the 16 courses can be 300-level.  
  2. Harvard Statistics PhD. students must take Statistics 210, 211, 212, 213 plus four other courses numbered 200–299 to graduate. The 210–213 block plus two other courses numbered 200–299 must be completed by the end of the fall semester of G2 in order to enter the “qualifying exam”, while the two other required courses numbered 200–299 must be also completed by the end of the G3 year.  
  3. As part of their 16 four-credit courses, students must also take 303hf in their first year. In addition, before the end of their G3 year, students must as well take at least two other 300-level special-topics (reading) courses. Students are strongly encouraged to take Stat300 in all semesters after they have passed their qualifying exam. Stat300 is a lunch time seminar for PhD students to present works to students and faculty.  Students can take Stat398 which is “research.” Both Stat300 and Stat398 can be taken multiple times.

The following requirements apply to students who entered the program between the fall of 2018 and fall 2021 (inclusive).

The formal residence requirement for the PhD is 16 four-credit courses devoted to advanced study.

Of the 16 four-credit courses, students must take Statistics 210, 211, 212, 213, 220, 230 and 244; students must also take 300, 303hf, 314, 366hfra, 366hfrb, and at least two other 300-level special-topics courses.

Within the Department of Statistics all courses marked 200 and above in the course catalog qualifies as advanced study, as does 398, while Department of Statistics courses marked 199 and below do not qualify.


As almost all PhD students are involved in research from the beginning of their program, entering PhD students are assigned faculty advisors based on mutual research interests whenever possible. New students’ research interests are determined by information provided by applicants in their statements of purpose. Students familiar with the department are given the option of requesting a particular faculty advisor. Some students stay with the initial advisor throughout their program, including the writing of the PhD dissertation, while others opt to change advisors as their interests change or evolve.

All PhD students are encouraged to consult with the director of graduate studies or department chair, when desired, in addition to their assigned advisor.

Students writing dissertations have one or more primary advisor(s) and two additional readers assigned by the faculty or suggested by the student and approved by the faculty. The primary advisor is typically the same faculty member providing the student’s research support.

In the case of conflicts between advisor and student, the department chair should be consulted first.

Qualifying Examination

The qualifying exam has three branches, each of which needs to be passed.  

  1. Theory: Proficiency in theory can be shown through a written exam based around the materials in Stat 210–213, set at the start of the spring semester of the G2 year. If a student’s grades in Stat 212 and 213 are both A-'s or higher and their grades in Stat 210 and 211 contain at least one grade of A- or higher and no grades below a B+, they are exempt from taking this exam.
  2. Applications: Proficiency in applied statistics can be shown by (i) completing two semesters of the Statistical Consulting course (Stat 305) and making a presentation of satisfactory quality in the class, or (ii) through a satisfactory presentation to the faculty (at least two faculty, typically of around 30 minutes) of the results from an applied project on which they have worked. This requirement must be completed by the end of the G3 year.
  3. Oral: The oral exam is a research presentation to the faculty (at least three faculty, typically of around 30 minutes), with extensive time for questions, taken during the G2 year. Some part of the presentation can be expository (demonstrating their knowledge of the relevant literature and previous work in some area of statistics) and some part must be on original work. The student’s presentation should be on material worked on since the start of the student’s PhD program.  

If a student fails either of the theory and/or oral branch in their G2 year, then they have one more chance to take any failed branches in their G3 year. If all are not passed by the end of the G3 year, then students will need to leave the program.

Post-Qualifying Talks (Research Presentations)

All students are required to attend Statistics 300: Research in Statistics. Students in their third year and above are required to present each year in the Statistics 300 course. The presentations, made to department faculty and students, are brief summaries of the student’s research and progress on qualifying papers or dissertation. Students in the first and second years are encouraged to volunteer to give a talk if this is helpful for their research.


Each student is expected to exercise initiative in seeking out a dissertation topic, a faculty advisor who will take primary responsibility for supervising the student’s work, and two additional readers. The PhD dissertation is expected to be a research contribution of high quality, adding to the knowledge of either the theory or practice of statistics. A PhD dissertation in statistics may also consist primarily of an innovative analysis of a specific, complex body of data in some substantive field. Generally, the material in a PhD dissertation should be publishable in a referred journal.

In the fall term of the G3 year (after passing the qualifying exams) students must notify the department of their dissertation advisors. Students are required to update the department, at least once each semester, of their dissertation advisors. This would include their primary advisor plus any additional faculty who will advise or collaborate on the dissertation. Students who encounter difficulty in identifying appropriate advisor/s should consult with their primary advisor(s), the director of graduate studies, or the department chair. Students who wish to use as an advisor someone who is not a member of the department can and should request the approval of the department faculty. Also in the fall term of the G3 year, all students must submit to the faculty a preliminary title, one-page summary of the proposed topic, with names and signatures of at least two dissertation advisors.

Dissertation Defense

One copy of the completed dissertation must be submitted for consideration by the department faculty at least four weeks prior to the oral dissertation defense. The faculty will consider the submitted dissertation and make recommendations, which typically lead to revisions. Students will defend their dissertation by making a presentation in Statistics 300 and in a closed presentation to their committee and other faculty members. After the defense, the faculty, with the explicit advice of three or more faculty readers nominated by the department, vote on the completed dissertation as submitted in finished form, which must conform to the requirements described the Dissertations section of GSAS Policies. The approved final dissertation can then be submitted to the registrar. The time from the defense to the final vote is ordinarily about two weeks. A prospective sixth-year or more advanced student must submit evidence of significant dissertation progress to a dissertation advisor or committee each year. This evidence of progress may, at the department’s discretion, take the form of a dissertation chapter completed, manuscripts submitted for publication, abstracts of papers delivered at professional meetings, or other evidence as specified by the dissertation director.

Teaching Fellowships and Research Assistantships

All PhD candidates are normally required to teach and/or to work as research assistants beginning in their second year. The current Department of Statistics teaching expectation is as follows: The department considers teaching experience to be an important educational component of the PhD program. All students, regardless of funding source, must lead at least four sections over the course of their PhD careers, covering at least two different courses. If they do not have a source of funding other than teaching (e.g., an NSF fellowship or, exceptionally, a faculty member wishes to make sure the student teaches only four courses using their research funds), then students should expect to teach eight sections as part of funding their PhD. Most section leading is done two-at-a-time, i.e., a student leading two sections of the same course in the same semester, so that the number of semesters of teaching is generally nearly equal to the number of sections led divided by two. The department’s aim is to not ask students to teach more than eight sections in total, which as per the previous sentence generally equates to four semesters of teaching. Research funding considerations may affect these normal teaching and research workloads. When research funds permit, the department aims to assign final-year students to lighter-than-normal teaching loads to enable them to make progress on their dissertations. 

Master of Arts (AM) Program

The Department of Statistics awards terminal AM degrees, as well as AM degrees, to students who are continuing in the PhD program. The department will consider PhD candidates in other fields at Harvard for whom a statistics minor is appropriate for the AM degree, as well as well-prepared undergraduates eligible for the AB/AM program. The application process is described on the Statistics Department AM program website

Students in the AM program are advised by the Director of Masters Study in Statistics and department faculty.

  • Minimum of one year of full-time residence. Requests for part-time study in the first year must meet the GSAS special circumstances criteria.
  • Requires the satisfactory completion of eight four-credit courses taken within the Department of Statistics (with the exceptions noted below), at the level of Statistics 110 and above, with at least five 200-level Statistics courses. The set of courses includes Statistics 109a and 109b, which were formerly listed as Statistics 121a and 121b.
  • Statistics 210 and Statistics 211 are required courses.
  • The eight four-credit courses must include two courses that are at the interface of theory and application. The list consists of the following: Statistics 109a (formerly Stat 121a, CS109a/AC209a), 109b (formerly Stat 121b, CS109b/AC209b), 115, 120, 131, 139, 140,143, 149, 151, 160/260, 170, 183, 184, 185, 186/286, 195, 220, 221, 225, 230, 232r, 234, 236, 240, 244, and 245.
  • Students must earn at least a B average in the courses taken for the AM program; no more than one C may count toward the eight courses for the AM degree, and courses with a grade of D or below do not count towards the degree. Please consult GSAS policies regarding credit for completed work for further information on satisfactory progress towards the degree.
  • CS 181 or MIT 6.036, and/or CS 281 may count towards the eight required courses for the AM degree, but not as substitutes of the five 200-level courses.
  • Students may take one 300-level Statistics course as part of the AM degree program with the permission of both the instructor and the director of the master's program in statistics. The 300-level course may not substitute for one of the 200-level Statistics courses. 
  • No thesis, general examination, qualifying paper, or cognate field is required for the AM degree.

Contact Info

Statistics Website

Let us know your thoughts

Was This Helpful?

I found what I was looking for.
I couldn't find what I needed.
Events Calendar