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Read more about the World University Rankings 2022
Student insights.
- Best universities in the world
- Best universities in the UK
- Best universities in the United States
- Best universities in the Netherlands
- Best universities in Germany
- Best universities in Canada
- Best universities in Australia
- Best universities in China
- Best universities in Europe
- Best universities in Spain
- Best universities in France
Academic Insights
- World University Rankings 2022: results announced
- World University Rankings 2022: can China make the top 10?
- World University Rankings 2022: Saudi Arabia and Egypt fastest risers
- World University Rankings 2022: Australasian universities hold firm
- World University Rankings 2022: keep on the sunny side
- How leaders of the world’s top universities are steering their institutions post-Covid
- World University Rankings 2022: mountains to climb
- World University Rankings 2022: rising stars to watch
- The job of a university president is tougher than ever
- Is now the time for a full embrace of lifelong learning?
- Asia internationalises in its own backyard
- Australia needs a new model of international education for the post-Covid era
- What do Covid vaccines mean for future of university-industry ties?
- Europe needs a ‘digital university act’ to safeguard sector’s independence
- We need better incentives for knowledge transfer and teaching innovation
- Online research relationships blossom in pandemic
- Universities must rediscover the value of listening to those beyond the campus
- Why we are including ‘reporter’ institutions in our World University Rankings
Methodology:
Featured jobs
Featured universities.
Graduate Student Handbook (Coming Soon: New Graduate Student Handbook)
Phd program overview.
The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability. In the following years, students take advanced topics courses. Research toward the dissertation typically begins in the second year. Students also have opportunities to take part in a wide variety of projects involving applied probability or applications of statistics.
Students are expected to register continuously until they distribute and successfully defend their dissertation. Our core required and elective curricula in Statistics, Probability, and Machine Learning aim to provide our doctoral students with advanced learning that is both broad and focused. We expect our students to make Satisfactory Academic Progress in their advanced learning and research training by meeting the following program milestones through courseworks, independent research, and dissertation research:
By the end of year 1: passing the qualifying exams;
By the end of year 2: fulfilling all course requirements for the MA degree and finding a dissertation advisor;
By the end of year 3: passing the oral exam (dissertation prospectus) and fulfilling all requirements for the MPhil degree
By the end of year 5: distributing and defending the dissertation.
We believe in the Professional Development value of active participation in intellectual exchange and pedagogical practices for future statistical faculty and researchers. Students are required to serve as teaching assistants and present research during their training. In addition, each student is expected to attend seminars regularly and participate in Statistical Practicum activities before graduation.
We provide in the following sections a comprehensive collection of the PhD program requirements and milestones. Also included are policies that outline how these requirements will be enforced with ample flexibility. Questions on these requirements should be directed to ADAA Cindy Meekins at [email protected] and the DGS, Professor John Cunningham at [email protected] .
Applications for Admission
- Our students receive very solid training in all aspects of modern statistics. See Graduate Student Handbook for more information.
- Our students receive Fellowship and full financial support for the entire duration of their PhD. See more details here .
- Our students receive job offers from top academic and non-academic institutions .
- Our students can work with world-class faculty members from Statistics Department or the Data Science Institute .
- Our students have access to high-speed computer clusters for their ambitious, computationally demanding research.
- Our students benefit from a wide range of seminars, workshops, and Boot Camps organized by our department and the data science institute .
- Suggested Prerequisites: A student admitted to the PhD program normally has a background in linear algebra and real analysis, and has taken a few courses in statistics, probability, and programming. Students who are quantitatively trained or have substantial background/experience in other scientific disciplines are also encouraged to apply for admission.
- GRE requirement: Waived for Fall 2024.
- Language requirement: The English Proficiency Test requirement (TOEFL) is a Provost's requirement that cannot be waived.
- The Columbia GSAS minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS. To see if this requirement can be waived for you, please check the frequently asked questions below.
- Deadline: Jan 8, 2024 .
- Application process: Please apply by completing the Application for Admission to the Columbia University Graduate School of Arts & Sciences .
- Timeline: P.hD students begin the program in September only. Admissions decisions are made in mid-March of each year for the Fall semester.
Frequently Asked Questions
- What is the application deadline? What is the deadline for financial aid? Our application deadline is January 5, 2024 .
- Can I meet with you in person or talk to you on the phone? Unfortunately given the high number of applications we receive, we are unable to meet or speak with our applicants.
- What are the required application materials? Specific admission requirements for our programs can be found here .
- Due to financial hardship, I cannot pay the application fee, can I still apply to your program? Yes. Many of our prospective students are eligible for fee waivers. The Graduate School of Arts and Sciences offers a variety of application fee waivers . If you have further questions regarding the waiver please contact gsas-admissions@ columbia.edu .
- How many students do you admit each year? It varies year to year. We finalize our numbers between December - early February.
- What is the distribution of students currently enrolled in your program? (their background, GPA, standard tests, etc)? Unfortunately, we are unable to share this information.
- How many accepted students receive financial aid? All students in the PhD program receive, for up to five years, a funding package consisting of tuition, fees, and a stipend. These fellowships are awarded in recognition of academic achievement and in expectation of scholarly success; they are contingent upon the student remaining in good academic standing. Summer support, while not guaranteed, is generally provided. Teaching and research experience are considered important aspects of the training of graduate students. Thus, graduate fellowships include some teaching and research apprenticeship. PhD students are given funds to purchase a laptop PC, and additional computing resources are supplied for research projects as necessary. The Department also subsidizes travel expenses for up to two scientific meetings and/or conferences per year for those students selected to present. Additional matching funds from the Graduate School Arts and Sciences are available to students who have passed the oral qualifying exam.
- Can I contact the department with specific scores and get feedback on my competitiveness for the program? We receive more than 450 applications a year and there are many students in our applicant pool who are qualified for our program. However, we can only admit a few top students. Before seeing the entire applicant pool, we cannot comment on admission probabilities.
- What is the minimum GPA for admissions? While we don’t have a GPA threshold, we will carefully review applicants’ transcripts and grades obtained in individual courses.
- Is there a minimum GRE requirement? No. The general GRE exam is waived for the Fall 2024 admissions cycle.
- Can I upload a copy of my GRE score to the application? Yes, but make sure you arrange for ETS to send the official score to the Graduate School of Arts and Sciences.
- Is the GRE math subject exam required? No, we do not require the GRE math subject exam.
- What is the minimum TOEFL or IELTS requirement? The Columbia Graduate School of Arts and Sciences minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS
- I took the TOEFL and IELTS more than two years ago; is my score valid? Scores more than two years old are not accepted. Applicants are strongly urged to make arrangements to take these examinations early in the fall and before completing their application.
- I am an international student and earned a master’s degree from a US university. Can I obtain a TOEFL or IELTS waiver? You may only request a waiver of the English proficiency requirement from the Graduate School of Arts and Sciences by submitting the English Proficiency Waiver Request form and if you meet any of the criteria described here . If you have further questions regarding the waiver please contact gsas-admissions@ columbia.edu .
- My transcript is not in English. What should I do? You have to submit a notarized translated copy along with the original transcript.
Can I apply to more than one PhD program? You may not submit more than one PhD application to the Graduate School of Arts and Sciences. However, you may elect to have your application reviewed by a second program or department within the Graduate School of Arts and Sciences if you are not offered admission by your first-choice program. Please see the application instructions for a more detailed explanation of this policy and the various restrictions that apply to a second choice. You may apply concurrently to a program housed at the Graduate School of Arts and Sciences and to programs housed at other divisions of the University. However, since the Graduate School of Arts and Sciences does not share application materials with other divisions, you must complete the application requirements for each school.
How do I apply to a dual- or joint-degree program? The Graduate School of Arts and Sciences refers to these programs as dual-degree programs. Applicants must complete the application requirements for both schools. Application materials are not shared between schools. Students can only apply to an established dual-degree program and may not create their own.
With the sole exception of approved dual-degree programs , students may not pursue a degree in more than one Columbia program concurrently, and may not be registered in more than one degree program at any institution in the same semester. Enrollment in another degree program at Columbia or elsewhere while enrolled in a Graduate School of Arts and Sciences master's or doctoral program is strictly prohibited by the Graduate School. Violation of this policy will lead to the rescission of an offer of admission, or termination for a current student.
When will I receive a decision on my application? Notification of decisions for all PhD applicants generally takes place by the end of March.
Notification of MA decisions varies by department and application deadlines. Some MA decisions are sent out in early spring; others may be released as late as mid-August.
Can I apply to both MA Statistics and PhD statistics simultaneously? For any given entry term, applicants may elect to apply to up to two programs—either one PhD program and one MA program, or two MA programs—by submitting a single (combined) application to the Graduate School of Arts and Sciences. Applicants who attempt to submit more than one Graduate School of Arts and Sciences application for the same entry term will be required to withdraw one of the applications.
The Graduate School of Arts and Sciences permits applicants to be reviewed by a second program if they do not receive an offer of admission from their first-choice program, with the following restrictions:
- This option is only available for fall-term applicants.
- Applicants will be able to view and opt for a second choice (if applicable) after selecting their first choice. Applicants should not submit a second application. (Note: Selecting a second choice will not affect the consideration of your application by your first choice.)
- Applicants must upload a separate Statement of Purpose and submit any additional supporting materials required by the second program. Transcripts, letters, and test scores should only be submitted once.
- An application will be forwarded to the second-choice program only after the first-choice program has completed its review and rendered its decision. An application file will not be reviewed concurrently by both programs.
- Programs may stop considering second-choice applications at any time during the season; Graduate School of Arts and Sciences cannot guarantee that your application will receive a second review.
- What is the mailing address for your PhD admission office? Students are encouraged to apply online . Please note: Materials should not be mailed to the Graduate School of Arts and Sciences unless specifically requested by the Office of Admissions. Unofficial transcripts and other supplemental application materials should be uploaded through the online application system. Graduate School of Arts and Sciences Office of Admissions Columbia University 107 Low Library, MC 4303 535 West 116th Street New York, NY 10027
- How many years does it take to pursue a PhD degree in your program? Our students usually graduate in 4‐6 years.
- Can the PhD be pursued part-time? No, all of our students are full-time students. We do not offer a part-time option.
- One of the requirements is to have knowledge of linear algebra (through the level of MATH V2020 at Columbia) and advanced calculus (through the level of MATH V1201). I studied these topics; how do I know if I meet the knowledge content requirement? We interview our top candidates and based on the information on your transcripts and your grades, if we are not sure about what you covered in your courses we will ask you during the interview.
- Can I contact faculty members to learn more about their research and hopefully gain their support? Yes, you are more than welcome to contact faculty members and discuss your research interests with them. However, please note that all the applications are processed by a central admission committee, and individual faculty members cannot and will not guarantee admission to our program.
- How do I find out which professors are taking on new students to mentor this year? Applications are evaluated through a central admissions committee. Openings in individual faculty groups are not considered during the admissions process. Therefore, we suggest contacting the faculty members you would like to work with and asking if they are planning to take on new students.
For more information please contact us at [email protected] .
For more information please contact us at [email protected]
Quick Links
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A word on rankings for PhD programs in statistics and choosing programs [Q]
MS statistics student here, and recent BS statistics graduate. I will be applying to PhD Statistics programs a year from now. My cycle this year was abysmal, and I got into one funded MS program at a terminal MS stats program, and no PhD programs. Instead of wallowing in defeat, I took it upon myself to improve my profile at this MS stats program. It covers the linear model theory and casella and Berger statistical inference sequence that first year PhD students typically take. (See:
https://bulletin.miamioh.edu/graduate-fields-study/statistics/ )
Currently working on a paper that hopefully can get published before fall 2024. Overall I’m excited to start grad school and see things looking up. My hope is a better gpa (had a 3.4 in undergrad) + current paper + my fall 2023 undergrad research project (finished writing up some software for a different lab I was in that I was in now). I also have the prerequisite math courses through a math minor I completed in undergrad (Real Analysis 1+2, Advanced Linear algebra, Calc 1-3)
As I reflect on my rejections, I realized one thing. I applied to lots of programs I wasn’t necessarily interested in, solely cause they were ranked well. I didn’t factor much into where I’d see myself living, etc. I did think about my research interests, but this was kind of all over the place a year ago. My current research has led me to believe I’m interested in statistical methods for high dimensional data in bioinformatics, or causal inference, or Bayesian inference. I understand these are very broad, and seem to be disjoint research areas, but the broader the better is what I’ve heard.
I’m realizing however, that picking schools is really tough. I want to strike a balance between getting into programs which are well funded and reputable, but also don’t want to overshoot again. As I look at my list it seems very skewed towards programs which are in the top 10, which consequently are the places I want to live for grad school. Of course, these are programs whom also have work which I’m interested in to some capacity. (UMich, UPenn, Washington, Duke, Columbia).
To add to this list, I tried to find schools which were more middle of the ground: (Rice, UT Austin, Boston University, UNC).
My dilemma here now is that I look on US news rankings, it may make something like UNC rank 11, but on another rankings page, they are 25th.
My main concern here is due to the variance in the rankings I don’t want to accidentally overshoot again, and apply to schools much more competitive than they should be for my goals. My goal is to get a PhD at a good school, but I also want to get in somewhere .
My question is: how did you guys pick schools? What are some criteria I’m over emphasizing? For example, location is a must for me. Lots of schools in California, but I’m a midwesterner and I can’t stand the west coast. Does anyone have a way they struck a balance between good departments and departments they can get into?
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