The information below adresses common questions about both the Statistics M.S. degree and the Data Science degree.
A strong mathematics background, especially in probability, statistics and linear algebra, is important in the admission process. However, it is not the only factor that determines which applicants are admitted. You may consider strengthening your math background and applying later, or just hope that factors such as breadth or research exprience will compensate for a relatively weak math background.
No, there are no specific prerequisite courses to complete before applying. See the answer to the question above concerning a strong mathematics background and the types of courses one should excel at.
Academic credentials can be verified on the graduate admissions webpages: https://gradadmissions.stanford.edu/applying/international-applicants
No, we do not evaluate your qualifications until we receive your application for admission. We look at your overall strengths and weaknesses and compare your profile against the larger applicant pool.
The Data Science program curriculum requirements are exactly the same. The Data Science program in Statistics is intended as a terminal degree. Please refer to ICME M.S. Degree program page for department specifications (School of Engineering). Applicants can only apply to one program.
The application is the same as that of the Statistics Masters application process. Applicants should indicate their interest in the Data Science track by selecting Data Science from the "Specialization" section.
Program Selection:
Program Name: Statistics MS
Term: Autumn 2016-2017
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Departmental Specialization:
Only applicants who intend to pursue the Data Science subplan should select the specialization from the drop down menu.
[Data Science (STATSMS2) ]
No, the Data Science track is not offered as a coterm degree. Students must apply through graduate admissions application system.
No. The Department of Statistics does not offer an online M.S. degree. The department offers a few Statistics courses online through SCPD, mostly in summer, but the majority of courses must be completed on campus during normal business hours. Courses offered online are those listed on the SCPD website. The majority of required courses are NOT offered online, therefore it is not possible to complete the degree online.
SCPD offers what is known as the Honors Cooperative Program (HCP) for students to complete the Statistics Master's degree part-time (minimum 3 units per quarter). Students must be sponsored by an employer. Admitted (Stats MS) students can enroll as an HCP student, which allows a student to finish the degree within 5 years - taking courses part-time (http://gap.stanford.edu/5-2.html). This does not equate to an online degree program. The majority of courses are only offered on-campus. Students must apply through the normal graduate admissions process, and compete with all other applicants for admission to the program - NOT through SCPD. Please see: http://scpd.stanford.edu/programs/corporate-education/corporate-graduate-program
Students must apply through the normal graduate admissions process, and compete with all other applicants for admission to the program - NOT through SCPD. Please indicate in the Application Options section that you are interested in HCP and include your employer's information. See SCPD's website regarding the HCP degree program: http://scpd.stanford.edu/programs/corporate-education/corporate-graduate-program.
No, the Statistics Data Science track is not offered as a part-time degree (HCP). Only the Statistics Master's degree is offered as an HCP degree.
Please refer to the appropriate section for either Internal or External applicants.
Please mail your official transcripts to:
Statistics MS Graduate Admissions
Statistics Department, Sequoia Hall
390 Serra Mall, Room 127
Stanford University
Stanford, CA 94305
Official transcripts must be submitted to the department using an approved electronic method or by mailing hard copies. If possible, applicants are encouraged to use one of the electronic methods, as these options are eco-friendly and provide the same level of authenticity as official paper transcripts.
Electronic Transcript Submission
Official transcripts from Chinese university's will now be processed via CHESICC and routed through graduate admissions application system. Students will still need to upload transcripts in the application, but will request processing of transcripts within the application via CHESICC. When your CHESICC electronic documents are processed and received by Stanford, studens will not need to send paper transcripts to the department.
For further details, please visit: https://gradadmissions.stanford.edu/applying/starting-your-application/required-application-documents/transcripts-academic-records
If the institution does not issue records in English, original language records must be submitted with official English translations. We accept translations issued by the institution or a professional translating service. Translations must be literal and complete versions of the original records. https://gradadmissions.stanford.edu/applying/international-applicants/transcripts-academic-records
Applicants must submit official transcripts to the department. Stanford University's Graduate Admissions office does not accept third-party transcript credential service (WES, etc.).
Please submit the most current version of your transcripts available at the time of application, even if your fall grades are not yet available. You do not need to submit an updated version of your transcript after the application deadline has passed.
If the course work and grades are reflected on the transcript of your home institution, you do not need to submit transcripts from the study abroad/transfer institution.
Stanford's institution code for the GRE and TOEFL is 4704. No department code is required. You may leave that field blank.
We receive upwards of 500 MS applications each year, and admit approximately 30 applicants for the Statistics M.S. program and 8 for the Data Science program each year.
The Statistics Department does not have a minimum GPA or GRE score requirement. The evaluation of each applicant is based on all the materials in the file and is not exclusively based on test scores.
All applicants to departmental graduate programs at Stanford must take the GRE, including applicants who have previously attended graduate school. The Statistics M.S. degree application only requires the general GRE and not the subject GRE.
The minimum TOEFL score required in order to be considered for admission is: 250 for the computer-based test, 600 for the paper-based test and 100 for the internet-based test. (https://gradadmissions.stanford.edu/applying/starting-your-application/required-exams)
No, it cannot.
If you wish to verify that you do not have to take the TOEFL, please see Graduate Admissions Required Exams webpage: https://gradadmissions.stanford.edu/applying/starting-your-application/required-exams.
Applicants with degrees from institutions in countries other than those listed in the above link and in which English was the only language of instruction must submit the TOEFL Waiver Request form in order to be evaluated for a waiver to the TOEFL requirement.
Once you have received confirmation from the Graduate Admissions Office that your TOEFL waiver request has been approved, you must forward this notification to stat-admissions-ms@lists.stanford.edu. Note: To bypass the entry of TOEFL scores in the application, enter a future test date. You can add in the additional information section of the application that you have received a waiver from Graduate Admissions.
We do not accept IELTS scores in lieu of the TOEFL.
An incomplete status may be due to several reasons.
Tuition rates for the current academic year can be found in the Stanford bulletin: https://studentaffairs.stanford.edu/registrar/students/tuition-fees_15-16 You can expect the tuition rates for the following year (the year for which you are applying) will increase a few percentage points each year. Minimum enrollment for graduate students is 8 units. Most students take 10 units per quarter (8-10 unit rate is the same) and finish in 4-5 quarters.
Note:Estimated living costs while attending Stanford: http://financialaid.stanford.edu/grad/budget/index.html
No
The Statistics Department has fellowship and assistantship funding available for doctoral students only. Master's students must find their own funding. Loans are available for U.S. citizens and permanent residents.
Please see Financing the Degree section here.
There is no financial support available through the Statistics department to support students in the master's program; therefore, students are expected to fund their course of study at Stanford in its entirety. If you have a grant or fellowship from an outside source, however, you are welcome to apply that toward the tuition cost of the program.
It may be possible to obtain an RA or TAship in another department, but these must be arranged individually by the student and should not be anticipated as a significant source of funding. Positions as graders within the Statistics and Mathematics departments occasionally become available. They are announced if the need arises during the academic year and again, should not be anticipated as a significant source of funding.
The department only requires three letters of recommendation. You may include one additional, if you wish (though we prefer that you submit only three letters). If you submit more than four letters of recommendation, we will only review the first four letters that were submitted.
We prefer that the letter writer upload their recommendation letter via the CollegeNet portal. If they report technical difficulties an cannot access the system, please have them email CollegeNet at help@collegenet.com.
We can accommodate letters submitted by your university's letter service. You will still need to enter information for each recommender in the online application, including e-mail addresses. This causes an automatic email to be sent to each recommender requesting a letter. You will need to contact them to let them know to disregard this email and to use their university's letter service. Letters should be sent to:
stat-admissions-ms@lists.stanford.edu
No. External applications are accepted only once a year on the posted deadlines for autumn quarter start. Please refer to the Internal or External deadline pages.
No, you may apply to only one degree program per academic year. An exception is within the Biosciences, in which you may apply to up to three Ph.D. programs within your one application. You may apply concurrently to one departmental program and to a professional school program (law, medicine or business).
No. We do not allow deferral of admission. Students who are accepted but cannot enroll may reapply for a future year when they are available to begin their studies.
Applicants who have already earned a graduate degree are advised to write a compelling statement of purpose describing your motivation for graduate study, future career plans and other relevant aspects of your background and interests. Ordinarily, the committee does not admit those who already hold graduate degrees, especially those in related fields.
Students with a strong mathematical background who wish to go on to a Ph.D. in Statistics should consider applying directly to the Ph.D. program. Completing the M.S. in Statistics does not help one's chances of admission to the Ph.D. program.
Some courses, such as the core statistics classes Stats 116, Stats 200 and Stats 217 are offered in the summer.
Please visit Student Housing for information about campus housing at Stanford, including information on eligibility, application process, and deadlines.
Please visit Estimated Expense Budget for information about the estimated cost of living on-campus as a graduate student (this is only an estimate; your actual expenses may differ).
Many students find jobs as data scientists and research analysts (among other things) at companies such as, Guardian Analytics; Quantcast; Google; Microsoft; Broadcom Corp; Accenture; RPX Corp; Adobe Systems; Goldman Sachs; Federal Reserve Bank of New York; Citigroup in New York; J.P. Morgan; Samsung; DRW Trading; Asterdata Systems; Two Sigma Investments; Aviir; Square, Inc