phd program in stanford university

How to Apply

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Visit the Apply Now page to start your application for graduate study.

Select One Program

Out of the graduate degree programs listed on the Explore Graduate Programs page , you may apply to only one program per academic year.

The only exception is within the Biosciences PhD programs , where you may apply for two programs within a single application.

Central & Departmental Processes

We work in partnership with your graduate program of interest to ensure a smooth admission experience from the time you start your application until you enroll at Stanford.

Graduate Admissions

• Oversees the online application system
• Determines university-wide admission requirements
• Reviews the official documents of incoming graduate students to verify that they meet university-wide admission requirements

Graduate Program

• Oversees the review of applications
• May supplement university-wide requirements with program-specific admission requirements
• Communicates admission decisions and offers of financial support

Admission Process Overview

Application.

The first step is to prepare and submit your application materials through the online application system, by the deadline set by your intended graduate program. 

After you submit your application, it is routed to your graduate program for review by its admission committee. Some programs conduct interviews as part of the evaluation process.

Your graduate program communicates the admission decision to you once it is finalized by the admission committee.

If you are admitted, you must respond to the offer of admission by the deadline set by your program. Some programs host "visit days" to help you make an informed decision.

Verification

If you accept the offer of admission, you must arrange for your official transcripts and degree documents to be sent to Graduate Admissions for verification.

Matriculation

After Graduate Admissions reviews your official documents, you are matriculated into your degree program. At this point, you are eligible to enroll in courses if you have no enrollment holds on your record. Note: If you are an international student, you have an enrollment hold until you arrive on campus.

Ph.D. Program

The training for a Ph.D. in Biology is focused on helping students achieve their goals of being a successful research scientist and teacher, at the highest level. Students work closely with an established advisor and meet regularly with a committee of faculty members to facilitate their progress. The Biology Ph.D. program is part of the larger Biosciences community at Stanford, which includes doctorate programs in the basic science departments at Stanford Medical School. 

There are two tracks within the Biology Ph.D. program:

• Cell, Molecular and Organismal Biology
• Ecology and Evolution

(Previously a part of the Department of Biology Hopkins Marine Station is now a part of the Oceans Department within  Stanford Doerr School of Sustainability )

All  tracks are focused on excellence in research and teaching in their respective areas; where there are differences between the tracks, they are indicated in the links below. 

Requirements & Forms

Dissertation defense, cellular and molecular biology training program, stanford biology ph.d. preview program, career development resources.

Email forwarding for @cs.stanford.edu is changing. Updates and details here . CS Commencement Ceremony June 16, 2024.  Learn More .

PhD Admissions

Main navigation.

The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. 

Eligibility

To be eligible for admission in a Stanford graduate program, applicants must meet:

• Applicants from institutions outside of the United States must hold the equivalent of a United States Bachelor's degree from a college or University of recognized good standing. See detailed information by region on  Stanford Graduate Admissions website. 
• Area of undergraduate study . While we do not require a specific undergraduate coursework, it is important that applicants have strong quantitative and analytical skills; a Bachelor's degree in Computer Science is not required.

Any questions about the admissions eligibility should be directed to  [email protected] .

Application Checklist

An completed online application must be submitted by the CS Department application deadline and can be found  here .

Application Deadlines

The online application can be found here  and we will only one admissions cycle for the PhD program per respective academic term.

Doctoral Program

Program summary.

Students are required to

• master the material in the prerequisite courses ;
• pass the first-year core program;
• attempt all three parts of the qualifying examinations and show acceptable performance in at least two of them (end of 1st year);
• satisfy the depth and breadth requirements (2nd/3rd/4th year);
• successfully complete the thesis proposal meeting (winter quarter of the 3rd year);
• present a draft of their dissertation and pass the university oral examination (4th/5th year).

The PhD requires a minimum of 135 units. Students are required to take a minimum of nine units of advanced topics courses (for depth) offered by the department (not including literature, research, consulting or Year 1 coursework), and a minimum of nine units outside of the Statistics Department (for breadth). Courses for the depth and breadth requirements must equal a combined minimum of 24 units. In addition, students must enroll in STATS 390 Statistical Consulting, taking it at least twice.

All students who have passed the qualifying exams but have not yet passed the Thesis Proposal Meeting must take STATS 319 at least once each year. For example, a student taking the qualifying exams in the summer after Year 1 and having the dissertation proposal meeting in Year 3, would take 319 in Years 2 and 3. Students in their second year are strongly encouraged to take STATS 399 with at least one faculty member. All details of program requirements can be found in our PhD handbook (available to Stanford affiliates only, using Stanford authentication. Requests for access from non-affiliates will not be approved).

Statistics Department PhD Handbook

All students are expected to abide by the Honor Code and the Fundamental Standard .

Doctoral and Research Advisors

During the first two years of the program, students' academic progress is monitored by the department's Graduate Director. Each student should meet at least once a quarter with the Graduate Director to discuss their academic plans and their progress towards choosing a thesis advisor (before the final study list deadline of spring of the second year). From the third year onward students are advised by their selected advisor.

Qualifying Examinations

Qualifying examinations are part of most PhD programs in the United States. At Stanford these exams are intended to test the student's level of knowledge when the first-year program, common to all students, has been completed. There are separate examinations in the three core subjects of statistical theory and methods, applied statistics, and probability theory, which are typically taken during the summer at the end of the student's first year. Students are expected to attempt all three examinations and show acceptable performance in at least two of them. Letter grades are not given. Qualifying exams may be taken only once. After passing the qualifying exams, students must file for Ph.D. Candidacy, a university milestone, by the end of spring quarter of their second year.

While nearly all students pass the qualifying examinations, those who do not can arrange to have their financial support continued for up to three quarters while alternative plans are made. Usually students are able to complete the requirements for the M.S. degree in Statistics in two years or less, whether or not they have passed the PhD qualifying exams.

Thesis Proposal Meeting and Dissertation Reading Committee 

The thesis proposal meeting is intended to demonstrate a student's depth in some areas of statistics, and to examine the general plan for their research. In the meeting the student gives a 60-minute presentation involving ideas developed to date and plans for completing a PhD dissertation, and for another 60 minutes answers questions posed by the committee. which consists of their advisor and two other members. The meeting must be successfully completed by the end of winter quarter of the third year. If a student does not pass, the exam must be repeated. Repeated failure can lead to a loss of financial support.

The Dissertation Reading Committee consists of the student’s advisor plus two faculty readers, all of whom are responsible for reading the full dissertation. Of these three, at least two must be members of the Statistics Department (faculty with a full or joint appointment in Statistics but excluding for this purpose those with only a courtesy or adjunct appointment). Normally, all committee members are members of the Stanford University Academic Council or are emeritus Academic Council members; the principal dissertation advisor must be an Academic Council member. 

The Doctoral Dissertation Reading Committee form should be completed and signed at the Dissertation Proposal Meeting. The form must be submitted before approval of TGR status or before scheduling a University Oral Examination.

 For further information on the Dissertation Reading Committee, please see the Graduate Academic Policies and Procedures (GAP) Handbook section 4.8.

University Oral Examinations

The oral examination consists of a public, approximately 60-minute, presentation on the thesis topic, followed by a 60 minute question and answer period attended only by members of the examining committee. The questions relate to the student's presentation and also explore the student's familiarity with broader statistical topics related to the thesis research. The oral examination is normally completed during the last few months of the student's PhD period. The examining committee typically consists of four faculty members from the Statistics Department and a fifth faculty member from outside the department serving as the committee chair. Four out of five passing votes are required and no grades are given. Nearly all students can expect to pass this examination, although it is common for specific recommendations to be made regarding completion of the thesis.

The Dissertation Reading Committee must also read and approve the thesis.

For further information on university oral examinations and committees, please see the Graduate Academic Policies and Procedures (GAP) Handbook section 4.7 .

Dissertation

The dissertation is the capstone of the PhD degree. It is expected to be an original piece of work of publishable quality. The research advisor and two additional faculty members constitute the student's dissertation reading committee.

Ph.D. Program

Grad student, Tamkinat Rauf, with Sociologist, William Julius Wilson, at a CASBS event. Image credit: Jerry Wang, courtesy of CASBS at Stanford

The Ph.D. program is defined by a commitment to highly analytical sociology

The program trains graduate students to use a range of methods – quantitative and qualitative – and data – survey, administrative, experimental, interview, direct observation, and more – to answer pressing empirical questions and to advance important theoretical and policy debates.

The Ph.D. curriculum and degree requirements provide students with the methodological skills, substantive knowledge, and mentorship to make important and impactful contributions to sociological knowledge. The program guides Ph.D. students to work on ambitious, independent research projects about which students are passionate. Graduates finish the program well-positioned to be leaders in the field of sociology.

Main navigation

The PhD program requires three years of full-time graduate study, at least two years of which must be at Stanford. Typically, however, students take four to five years after entering the program to complete all PhD requirements. The University requires a minimum of 135 units for a PhD, up to 45 units of which may be transferred from another graduate program, or used toward a master's degree at Stanford.

Areas of research

Breadth requirement, qualification procedure requirements, degree progress and student responsibility.

Oral examination

Doctoral students are required to take a number of courses, both to pass a qualifying exam in one of these areas, and to complete a dissertation based on research which must make an original contribution to knowledge. The PhD is generally organized around the expectation that the student acquires a certain breadth across all areas of the department, and depth in one area.

The current areas are: Computational Social Science Decision and Risk Analysis Operations Research Organizations, Technology and Entrepreneurship Policy and Strategy Quantitative Finance

Each student admitted to the PhD program must satisfy a breadth requirement.

All first year students are required to attend and participate in MS&E 302 Fundamental Concepts in Management Science and Engineering, which will meet in the Autumn Quarter.

Each course session will be devoted to a specific MS&E PhD research area. At a given session, several advanced PhD students in that area will make carefully prepared presentations designed for first-year doctoral students regardless of area. The presentations will be devoted to: (a) illuminating how people in the area being explored that day think about and approach problems, and (b) illustrating what can and cannot be done when addressing problems by deploying the knowledge, perspectives, and skills acquired by those who specialize in the area in question.

Faculty in the focal area of the week will comment on the student presentations. The rest of the session will be devoted to questions posed and comments made by the first-year PhD students.

During the last two weeks of the quarter groups of first year students will make presentations on how they would approach a problem drawing on two or more of the perspectives to which they have been exposed earlier in the class.

Attendance is mandatory and performance will be assessed on the basis of the quality of the students’ presentations and class participation.

Each student admitted to the PhD program must pass an area qualification procedure. The purpose of the qualification procedure is to assess the student’s command of the field and to evaluate his or her potential to complete a high-quality dissertation in a timely manner. The student must complete specified course work in one of the areas of the department. The qualification decision is based on the student’s coursework and grade point average (GPA), on the one or two preliminary papers prepared by the student with close guidance from two faculty members, at least one of whom must be an MS&E faculty member, the student’s performance in an area examination or defense of the written paper(s), and an overall assessment by the faculty of the student's ability to conduct high-quality PhD research. Considering this evidence, the department faculty will vote on advancing the student to candidacy in the department at large.

The qualification procedure is based on depth in an area of the student’s choice and preparation for dissertation research. The qualification process must be completed by the end of the month of May in the student’s second year of graduate study in the department. The performance of all doctoral students will be reviewed every year at a department faculty meeting at the end of May or beginning of June. PhD qualification decisions will be made at that time and individual feedback will be provided.

The PhD qualification requirements comprise the following elements:

Courses and GPA: Students must complete the depth requirements of one of the areas of the MS&E department. All courses used to satisfy depth requirements must be taken for a letter grade, if the letter-graded option is available. Course substitutions may be approved by the doctoral program advisor or the MS&E dissertation advisor on the candidacy form or on a request for graduate course substitution form. A student must maintain a GPA of at least 3.4 in the set of all courses taken by the student within the department. The GPA will be computed on the basis of the nominal number of units for which each course is offered.

Paper(s): A student may choose between two options. The first option involves one paper supervised by a primary faculty advisor and a second faculty reader. This paper should be written in two quarters. The second option involves two shorter sequential tutorials, with two different faculty advisors. Each tutorial should be completed in one quarter. In both options, the student chooses the faculty advisor(s)/reader with the faculty members’ consent. There must be two faculty members, at least one of whom must be an MS&E faculty member, supervising and evaluating this requirement for advancement to candidacy. The paper/tutorials must be completed before the Spring Quarter of a student’s second year of graduate study in the department if the student’s qualifying exam is during the Spring Quarter, and before the end of May of that year otherwise.

Area qualification: In addition, during the second year, a student must pass an examination in one of the areas of the MS&E department, or defense of the written paper(s). The student chooses the area/program in which to take the examination. This area examination will be written, oral, or both at the discretion of the area faculty administering the exam. Most areas offer the qualifying exam only once per year, which may be early in the second year.

Each doctoral student’s progress is reviewed annually by the MS&E faculty. Typically, this occurs at a faculty meeting at the end of Spring Quarter, and appropriate email notifications are sent over the summer to the students and their advisors. It shall be the responsibility of the student to initiate each required step in completing the PhD program. To maintain good standing in the PhD program,

First year students must: 1. Complete 30 units, including MS&E 302 and doctoral courses taught by faculty in their research area; 2. Develop relationships with faculty members who can potentially serve as dissertation advisor or reading committee member. A faculty member is more likely to accept the responsibility of supervising the research of a student whom he or she knows fairly well than a student whose abilities, initiative, and originality the faculty member knows less. It is recommended that students participate in research rotations with MS&E and related faculty to facilitate the development of these relationships.

Second year students must: 1. Complete at least two one-quarter research rotations or tutorials, or one two-quarter research rotation, tutorial, or research paper, continuing to develop relationships with faculty members who might serve as dissertation advisor or reading committee member; 2. Pass an area qualifying exam or defense of the written paper(s); 3. Submit a candidacy form signed by at least one MS&E faculty member with whom they have or will complete research rotations, tutorials, or papers, and listing the course requirements agreed upon by both the student and the program advisor; 4. Complete 30 units, including most, if not all, of the required courses listed on the candidacy form; 5. Be advanced to candidacy by the faculty.

Third year students must: 1. Submit a progress form listing the dissertation topic and signed by the dissertation advisor (if the dissertation advisor is not an MS&E faculty member, the form must also be signed by an MS&E faculty member who agrees to be on the student's reading committee, as well as the student's point of contact within the department); 2. Complete 30 units, including any remaining depth courses.

Fourth year students must: 1. Select a reading committee (a dissertation advisor and two readers) with at least one member from the student's major department, and submit the reading committee form signed by each member on the reading committee; 2. Make satisfactory progress on their dissertation as determined by their dissertation advisor; 3. If the student has not transferred any previous graduate units to Stanford, complete 30 dissertation units.

Students beyond their fourth year must make satisfactory progress on their dissertation as determined by their dissertation advisor and approved by the faculty. Indeed, the dissertation advisor will have to present the case to (and seek approval for good standing of the student from) the faculty in the annual faculty meeting for student review. It should be noted that each student inherently has to pass the oral examination (see below) and submit their dissertation before their candidacy expires.

Oral Examination

As administered in this department, the University oral examination is a defense of the dissertation; however, the candidate should be prepared to answer any question raised by any members of the Academic Council who choose to be present. The examining committee consists of the three members of the reading committee as well as a fourth faculty member and an orals chair. The chair must be an Academic Council member and may not be affiliated with either the Department of Management Science and Engineering nor any department in which the student's adviser has a regular appointment; emeriti professors are eligible to serve as an orals chair. It is the responsibility of the student's adviser to find an appropriate orals chair. The University oral examination may be scheduled after the dissertation reading committee has given tentative approval to the dissertation.

The student must be enrolled in the quarter of their oral examination. Students should schedule three hours for the oral examination, which usually consists of a 45-minute public presentation, followed by closed-session questioning of the examinee by the committee, and committee deliberation. The student needs to reserve a room, and meet with the student services manager to complete the oral examination schedule and pick up other paper work. This paperwork, along with an abstract, needs to be delivered to the orals chair at least one week prior to the oral examination.

PhD Program

Professor Wender discusses chemistry with his graduate students.

Doctoral study in chemistry at Stanford University prepares students for research and teaching careers with diverse emphases in basic, life, medical, physical, energy, materials, and environmental sciences.

The Department of Chemistry offers opportunities for graduate study spanning contemporary subfields, including theoretical, organic, inorganic, physical, biophysical and biomedical chemistry and more. Much of the research defies easy classification along traditional divisions; cross-disciplinary collaborations with Stanford's many vibrant research departments and institutes is among factors distinguishing this world-class graduate program.

The Department of Chemistry is committed to providing academic advising in support of graduate student scholarly and professional development.  This advising relationship entails collaborative and sustained engagement with mutual respect by both the adviser and advisee.

• The adviser is expected to meet at least monthly with the graduate student to discuss on-going research.
• There should be a yearly independent development plan (IDP) meeting between the graduate student and adviser. Topics include research progress, expectations for completion of PhD, areas for both the student and adviser to improve in their joint research effort.
• A research adviser should provide timely feedback on manuscripts and thesis chapters.
• Graduate students are active contributors to the advising relationship, proactively seeking academic and professional guidance and taking responsibility for informing themselves of policies and degree requirements for their graduate program.
• If there is a significant issue concerning the graduate student’s progress in research, the adviser must communicate this to the student and to the Graduate Studies Committee in writing.  This feedback should include the issues, what needs to be done to overcome these issues and by when.

Academic advising by Stanford faculty is a critical component of all graduate students' education and additional resources can be found in the  Policies and Best Practices for Advising Relationships at Stanford  and the  Guidelines for Faculty-Student Advising at Stanford .

Learn more about the program through the links below, and by exploring the research interests of the  Chemistry Faculty  and  Courtesy Faculty .

PhD (Doctoral) Admissions Overview

Our research-intensive program cultivates the next generation of leaders in academia and industry. Electrical Engineering doctoral students work alongside faculty, fellow students, and researchers who are leaders in their disciplines.  

Application Timeline & Deadlines

Click on the links below to read about each step of the application process:

Did You Know?

• A master's degree is not required prior to applying to the PhD program in Electrical Engineering. • Applications are reviewed on an annual basis for autumn quarter start only. • December 7, 2023 is the application deadline for Autumn 2024-2025. • Typical completion time for the PhD degree is 5-7 years. • All PhD students who maintain satisfactory academic progress receive full financial support for the duration of the doctoral program.

Knight-Hennessy Scholars

The Knight-Hennessy Scholars program is designed to build an interdisciplinary community of Stanford graduate students dedicated to finding creative solutions to the world's greatest challenges. The program awards up to 100 high-achieving students every year with full funding to pursue a graduate education at Stanford, including the M.S. and Ph.D. in Electrical Engineering. To be considered, you must apply to Knight-Hennessy Scholars and separately apply to the Electrical Engineering department.

Additional Resources

PhD Programs

Empowering students to follow their curiosity

Bioengineering PhD

Jointly supported by the School of Engineering and the School of Medicine, the bioengineering program merges engineering principles with scientific discovery and technology to encourage the development of new medical devices and treatments.

Biosciences PhD

panning the School of Medicine and the School of Humanities and Sciences, students have the best of both worlds: the diversity of a large umbrella program coupled with the support of a small academic setting.

The Biosciences PhD program offers 14 home programs representing eight basic science departments and six interdisciplinary programs.

Biomedical Physics (BMP) PhD Program

Supported by the Departments of Radiology and Radiation Oncology, the Biomedical Physics PhD program seeks students interested in radiation therapy, imaging science, and molecular imaging and diagnostics as applied to clinical medicine. 

PhD in Epidemiology and Clinical Research

The PhD program in epidemiology and clinical research will provide methodologic and interdisciplinary training that will equip students to carry out cutting-edge epidemiologic research. The program trains students in the tools of modern epidemiology, with heavy emphases on statistics, computer science, genetics, genomics, and bioinformatics.

PhD in Health Policy

Stanford Health Policy offers a PhD program which promises to educate students who will be scholarly leaders in the field of health policy, and will be highly knowledgeable about the theoretical and empirical approaches that can be applied in the development of improvements in health policy and the health care system. These students will be well prepared for positions in academic institutions, government institutions, and private sector organizations with a demand for high-level analysis of health policy issues.

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PhD Program

The PhD is conferred upon candidates who have demonstrated substantial scholarship and the ability to conduct independent research and analysis in Psychology.

A student typically concentrates in one of several areas within Psychology. Across all areas, the training program emphasizes the development of research competence, and students are encouraged to develop skills and attitudes that are appropriate to a career of continuing research productivity.

Two kinds of experience are necessary for this purpose. One is the learning of substantial amounts of theoretical, empirical, computational and methods information . A number of courses and seminars are provided to assist in this learning, and students are expected to construct a program in consultation with their advisor(s) to obtain this knowledge in the most stimulating and economical fashion.

A second aspect of training is one that cannot be gained from the courses or seminars. This is first-hand knowledge of, and practical experience with, the methods of psychological investigation and study . Therefore, students are expected to spend half of their time on research and to take no more than 10 units of course work per quarter, beginning in the first quarter.

Students achieve competence in unique ways and at different rates. Students and advisors work together to plan a program to accomplish these objectives.

If current students have any questions about the PhD program, please email the Student Services Manager, Dena Zlatunich, at  denamz [at] stanford.edu (denamz[at]stanford[dot]edu) . The current Director of Graduate Studies is Professor Hyo Gwoen.

If you are interested in applying for our PhD program, please carefully review the information on the  PhD Admissions website . Follow-up questions can be directed to the admissions staff at  psych-admissions [at] stanford.edu (psych-admissions[at]stanford[dot]edu) .

Doctoral Program

The PhD program is designed to give students a broad and deep understanding of materials science and engineering so that they will have long and fruitful careers as researchers.

Main navigation, doctor of philosophy in materials science and engineering.

Students who graduate from our program will be among the world’s leading experts in the areas of their dissertation research. They also will have the intellectual tools to move into new research areas as the field grows and develops.

During the first year of the PhD program, students are required to take five courses from our core curriculum, attend the weekly colloquium lectures to learn about cutting-edge materials science research, explore finding an advisor (which includes a weekly course hour), and enroll in some technical elective coursework.

Students are expected to find a research group to join before the start of the spring quarter in their first year. During the summer after the first academic year, students typically work intensely on research under the guidance of a professor in the Materials Science and Engineering Department or a professor from another materials-related department.

In the second year, students continue to take technical elective coursework and do research. Between October and January, they take a qualifying examination, which they must pass to be formally admitted to candidacy for a PhD degree. In the first part of the exam, students give a 20-minute presentation on their proposed area of dissertation research. A committee of professors, which includes the student’s advisor, then questions the student on the proposed topic for 20 minutes. Finally, the professors ask questions for 80 minutes on topics from the core curriculum. Students are expected to demonstrate an understanding of the fundamentals of materials science and to show that they can think clearly on aspects that are important for their research. Students who do not pass the qualifying exam can attempt it one more time in the spring quarter. It is not uncommon to pass one part but not both parts on the first try.

Once students pass the qualifying exam, they continue to take classes and do their dissertation research. Students are required to take 44 core, technical, and seminar units (approximately 18 quarter-long classes).

The final stage of the PhD program is to write a dissertation and pass the university oral examination, which involves giving a public seminar defending the dissertation and answering questions from a private panel of four professors. Most students complete the entire program in five years and receive several employment offers as they write their dissertations.

The university’s basic requirements for a PhD are outlined in the Graduate Degrees section of the Stanford Bulletin.

The PhD degree is awarded after the completion of a minimum of 135 units of graduate work as well as satisfactory completion of any additional university requirements. Degree requirements for the department are as follows:

1 All core courses must be completed for a letter grade and to qualify for the qualifying exam a GPA in the core courses must be 3.5 or higher.

2 Eight, elective, technical courses must be in areas related directly to students’ research interests.  Five courses must be in MATSCI, including one course in Characterization*

*The characterization course may be taken out of the department with the approval of the Director of Graduate Studies.

All courses must be completed for a letter grade.

3 Materials Science and Engineering PhD students are required to take MATSCI 230 Materials Science Colloquium during each quarter of their first year. Attendance is required, roll is taken and more than two absences result in an automatic "No Pass" grade.

4 Research units will very likely equal or exceed 75, so other courses may count here.  This could include other engineering courses, MATSCI 400 , transfer units, other university courses, up to 3 units of MATSCI 299 .

5 Students must complete Materials Science Research Advising during the Autumn of their first year.  They will complete Ethics and Broader Impacts in Materials Science during the Spring of their first year.  In addition, students complete at least 10 residency units.  These course units may include  MATSCI 300  Ph.D. Research, other engineering courses,  MATSCI 400  Participation in Materials Science Teaching, or a maximum of three units  MATSCI 299  Practical Training.

• Students must consult with the PhD Advising Team or their academic adviser on PhD course selection planning. For students with a non-MATSCI research adviser, the MATSCI academic/co-adviser must also approve the list of proposed courses. Any proposed deviations from the requirements can be considered only by petition.
• PhD students are required to apply for and have conferred a MATSCI MS degree normally by the end of their third year of studies. A Graduate Program Authorization Petition (in Axess) and an MS Program Proposal  (PDF) must be submitted after taking the PhD qualifying examination.
• A departmental oral qualifying examination must be passed by the end of January of the second year. A grade point average (GPA) of 3.5 in core courses MATSCI 211-215 is required for admission to the PhD qualifying examination. Students who have passed the PhD qualifying examination are required to complete the Application for Candidacy to the PhD degree by June of the second year after passing the qualifying examination. Final changes in the Application for Candidacy form must be submitted no later than one academic quarter prior to the TGR status.
• Students must maintain a cumulative GPA of 3.0 in all courses taken at Stanford.
• Students must present the results of their research dissertation at the university PhD oral defense examination.
• Current students subject to either this set of requirements or a prior set must obtain the approval of their adviser before filing a revised program sheet, and should as far as possible adhere to the intent of the new requirements.
• Students may refer to the list of "Advanced Specialty Courses and Cognate Courses" provided below as guidelines for their selection of technical elective units. As noted above, academic adviser approval is required.
• At least 90 units must be taken in residence at Stanford. Students entering with an MS degree in Materials Science from another university may request to transfer up to 45 units of equivalent work toward the total of 135 PhD degree requirement units.
• Students may propose a petition for exemption from a required core course if they have taken a similar course in the past. To petition, a student must consult and obtain academic and/or research adviser approval, and consent of the instructor of the proposed core course. To assess a student’s level of knowledge, the instructor may provide an oral or written examination on the subject matter. The student must pass the examination in order to be exempt from the core course requirement. If the petition is approved, the student is required to complete the waived number of units by taking other relevant upper-level MATSCI courses.

PhD minor in Materials Science and Engineering

The university’s basic requirements for the PhD minor are outlined in the Graduate Degrees section of the Stanford Bulletin. A minor requires 20 units of graduate work of quality and depth at the 200-level or higher in the Materials Science and Engineering course offering. Courses must be taken for a letter grade. The proposed list of courses must be approved by the department’s advanced degree committee. Individual programs must be submitted to the student services manager at least one quarter prior to the quarter of the degree conferral. None of the units taken for the PhD minor may overlap with any MS degree units.

Doctoral Program

The Ph.D. program is a full time program leading to a Doctoral Degree in Economics.  Students specialize in various fields within Economics by enrolling in field courses and attending field specific lunches and seminars.  Students gain economic breadth by taking additional distribution courses outside of their selected fields of interest.

General requirements

Students  are required to complete 1 quarter of teaching experience. Teaching experience includes teaching assistantships within the Economics department or another department .

University's residency requirement

135 units of full-tuition residency are required for PhD students. After that, a student should have completed all course work and must request Terminal Graduate Registration (TGR) status.

Department degree requirements and student checklist

1. core course requirement.

Required: Core Microeconomics (202-203-204) Core Macroeconomics (210-211-212) Econometrics (270-271-272).  The Business School graduate microeconomics class series may be substituted for the Econ Micro Core.  Students wishing to waive out of any of the first year core, based on previous coverage of at least 90% of the material,  must submit a waiver request to the DGS at least two weeks prior to the start of the quarter.  A separate waiver request must be submitted for each course you are requesting to waive.  The waiver request must include a transcript and a syllabus from the prior course(s) taken.  

2.  Field Requirements

Required:  Two of the Following Fields Chosen as Major Fields (click on link for specific field requirements).  Field sequences must be passed with an overall grade average of B or better.  Individual courses require a letter grade of B- or better to pass unless otherwise noted.

Research fields and field requirements :

• Behavioral & Experimental
• Development Economics
• Econometric Methods with Causal Inference
• Econometrics
• Economic History
• Environmental, Resource and Energy Economics
• Industrial Organization
• International Trade & Finance
• Labor Economics
• Market Design
• Microeconomic Theory
• Macroeconomics
• Political Economy
• Public Economics

3.  Distribution

Required:  Four other graduate-level courses must be completed. One of these must be from the area of economic history (unless that field has already been selected above). These courses must be distributed in such a way that at least two fields not selected above are represented.  Distribution courses must be passed with a grade of B or better.

4.  Field Seminars/Workshops

Required:  Three quarters of two different field seminars or six quarters of the same field seminar from the list below.   

PhD Program

Main navigation, phd program in bioengineering.

Study for the PhD in Bioengineering combines rigorous coursework with novel research mentored by Stanford faculty, enabling students to develop as independent intellectual leaders working at the interfaces between biology, medicine, engineering, and the physical sciences. Our mission is to train students at the intersection of biomedicine and engineering in both academia and the burgeoning biomedical and biotechnology industries. Applicants should have a commitment to learning and a passion for research. 

On average, the program is completed in five to six years, depending on the student’s research and progress. First-year students have the opportunity to rotate in three different labs before selecting their dissertation advisor (PI). Many students choose to join labs in the Bioengineering department, but we also have several students who join labs within the Schools of Engineering, Medicine, and Humanities & Sciences. 

The Bioengineering Department also believes that teaching is an important part of graduate-level education in Bioengineering. Consequently, serving as a teaching assistant for two courses is a requirement for the PhD in Bioengineering. Current BioE and Stanford graduate students can learn more about our TA opportunities via our BioE intranet .

Along the way to the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. More information regarding our PhD degree requirements and milestones can be found in the Stanford Bulletin .

What We Look For

BioE PhD students come from a wide variety of personal, educational, and professional backgrounds. We welcome applicants with undergraduate degrees in diverse STEM disciplines including Bioengineering, Biophysics, Chemical Engineering, Electrical Engineering, Biochemistry, Physics, and Chemistry. There are no specific course requirements for applicants, but a competitive candidate will have strong quantitative training in mathematics and the physical sciences, along with a background in biology acquired through coursework or prior research. All admitted graduate students should be prepared to take the core courses  in the first year.

We welcome students entering directly from undergraduate programs, as well as applicants with MS degrees and/or substantial work experience in areas ranging from biotechnology to robotics. Our admissions committee will look for evidence that an applicant has demonstrated qualities of successful PhD students such as creativity, self-initiative, dedication, and perseverance. We also aim to admit bioengineering students who can thrive at Stanford because their specific interests and aspirations are well-matched with the research of our faculty and the educational environment of our department

Incoming Student Profile

The Bioengineering community is home to over 165 PhD students who come from a variety of diverse backgrounds and experiences. Below is a snapshot of our BioE PhD cohort that started in Fall 2020.

DIF: Diversity and Inclusion Innovation Funds

Fellowships & Funding

Review the  DIF Overview and Proposal Guidelines.

Diversity and Inclusion Innovation Funds (DIF) offers funding to support Stanford graduate students and postdoctoral scholars in the development of a project that will support graduate student diversity. The project must serve the academic interests of current Stanford students and/or postdoctoral scholars, and enhance the quality of their educational experiences. We invite students and postdoctoral scholars to develop proposals for up to a year’s worth of activities, with budgets up to $5,000 per year.

Stanford’s commitment to diversity is broadly conceived and includes, but is not limited to, first-gen status, culture, socioeconomic background, gender, gender identity, sexual orientation, disabilities, veteran status, tribal membership, religion, and life experience. A diverse community of scholars asks unexpected questions and contributes divergent insights, pushing the forefront of knowledge further and faster. As a result, the Stanford community reaps the educational benefits of diversity, while preparing future generations of leaders for a global society.

Proposals will be accepted from graduate students, postdoctoral scholars, and graduate student or postdoctoral scholar organizations in all degree programs in any of the seven schools.

Selection criteria include:

• Support the academic success and interests of a diverse graduate student or postdoctoral scholar population
• Enhance the quality of the educational experiences of a diverse graduate student or postdoctoral scholar population
• Cultivate an interest in academic careers and aim to diversify the professoriate
• Encourage undergraduate students from underserved or nontraditional backgrounds to consider PhD programs and a research career
• Have academic or educational objectives
•   Leadership Team : Be directed by and largely involve currently enrolled Stanford graduate students or postdoctoral scholars. Is the leadership team energetic, committed, and representative of the project area?
• Application Quality : Is the application well written and concise?
• Budget : Is the budget reasonable and appropriate?

These additional project features will be considered, but not required:

• University-wide impact, or the potential to be scaled up to have University-wide impact
• Collaboration among several units (voluntary student or postdoctoral scholar organizations, community centers, degree programs)
• Contributing funds from other sources
• Enhancing the educational experiences of students or postdoctoral scholars
• Promoting interdisciplinary collaboration among students or postdoctoral scholars
• Fostering student or postdoctoral scholar leadership and professional development
• Support and/or contribute to the diversity of the graduate student or postdoctoral scholar population
• Academic outreach programs coordinated by Stanford graduate students or postdoctoral scholars to local communities underrepresented in the academy

Funding will be awarded in compliance with the principles set forth in the Supreme Court’s June 2023 ruling on affirmative action

Application

Application Opens:  April 1, 2024

Application Deadline:  May 12, 2024 at 11:59 PM (PST)

[email protected]

Related Events

The application for DIF 2024-25 is closed.

Contact vpgeapplications @stanford.edu with any questions.

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Economic Analysis & Policy

Our doctoral program in the field of economic analysis and policy prepares students for research careers in economics. The program offers rigorous training and has several distinct advantages:

Low Student-to-Faculty Ratio

First, enrollment in the program is small. This encourages close faculty-student contact and allows students to become involved in research very early. Students work first as assistants on faculty research projects and, as their interests and skills develop, on their own research. Students often begin their publishing careers before completing their degrees.

Flexible and Innovative Program

Second, the program is flexible and innovative; students can draw on both the school’s and the university’s distinguished faculty. In addition to the faculty in the economics group at Stanford GSB and in the university’s economics department, students have access to faculty in political and behavioral sciences; accounting and finance; mathematics, statistics, and computer science; and many other disciplines.

A Top-Ranked School

Third, the program is part of a top-ranked professional school. This setting allows students to gain a deeper understanding of the actual processes of business decision-making and public policy formulation.

Preparation and Qualifications

Students who enroll in this program have a substantial background in economics and mathematics. They are expected to have, minimally, mathematical skills at the level of one year of advanced calculus and one course each in linear algebra, analysis, probability, optimization, and statistics.

The faculty selects students based on predicted performance in the program. Evidence of substantial background or ability in the use of mathematical reasoning and statistical methods is important. Most successful applicants had quantitative undergraduate majors in economics, mathematics, or related sciences.

In addition to evidence of ability and letters of recommendation, the faculty considers carefully the applicant’s statement of purpose for pursuing the PhD degree. The successful applicant usually has clearly defined career goals that are compatible with those of the program.

Acceptance into the program is extremely competitive. Admitted applicants compare very favorably with students enrolled in the top economics departments of major universities.

Economic Analysis & Policy Faculty

Mohammad akbarpour, claudia allende santa cruz, susan athey, lanier benkard, jeremy i. bulow, modibo khane camara, sebastian di tella, rebecca diamond, yossi feinberg, guido w. imbens, charles i. jones, michael ostrovsky, garth saloner, yuliy sannikov, kathryn shaw, andrzej skrzypacz, paulo somaini, juan carlos suárez serrato, takuo sugaya, christopher tonetti, shoshana vasserman, ali yurukoglu, weijie zhong, emeriti faculty, alain c. enthoven, robert j. flanagan, david m. kreps, peter c. reiss, john roberts, a. michael spence, robert wilson, recent publications in economic analysis & policy, battling the coronavirus ‘infodemic’ among social media users in kenya and nigeria, using wasserstein generative adversarial networks for the design of monte carlo simulations, adaptive novelty detection with false discovery rate guarantee, recent insights by stanford business, nine stories to get you through tax season, a.i. can help “personalize” policies to reach the right people, stanford gsb faculty share their holiday reading lists, placement director.

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Stanford University announced a new effort to marshal the University’s technological capabilities and teaching and learning expertise to reach students who have been historically underserved by higher education. A newly formed office, Stanford Digital Education, is teaming up with the National Education Equity Lab, a nonprofit organization that works to bridge the gap between high school and college.

Students at All City Leadership Secondary School in Brooklyn, New York, learn HTML code in an introductory computer science college course being offered by Stanford Digital Education and National Education Equity Lab. (Image credit: Michael Quinones)

In its initial pilot with the Ed Equity Lab, Stanford Digital Education has enrolled more than 220 students nationwide in a credit-bearing introductory course, Computer Science 105, for the fall quarter. The students come from 15 Title 1 high schools (where at least 40 percent of the students are from low-income households). Other Stanford courses are expected to be offered through the Lab’s network of Title 1 high schools later in the academic year.

“This pilot course is part of an effort by Stanford to expand the university’s social impact at the local, national and global levels, and we are thrilled to partner with the Ed Equity Lab,” said Provost Persis Drell. “Through this new office, we seek to strengthen Stanford’s capacity to innovate in extending educational opportunities to those who have not had access to them before.”

Established by Provost Drell, Stanford Digital Education aims to spur innovation in Stanford’s online and hybrid education strategies. Its mission is to support and amplify digital education initiatives across Stanford’s schools and offices, helping to incubate new ideas and projects while providing a framework to facilitate collaboration internally and externally, as the work with the Ed Equity Lab demonstrates.

Founded in 2019, the National Education Equity Lab is designing, testing and implementing new scalable strategies to help universities play a more active role in developing and identifying the next generation of scholars and leaders. Stanford is among the nation’s leading universities that are working with the nonprofit to provide online college credit-bearing courses in teacher-led high school classrooms in 32 states at no cost to students.

Leslie Cornfeld, Ed Equity Lab’s chief executive officer, said: “Our work is rooted in the fact that talent is evenly distributed, opportunity is not. By connecting our college partners with our nation’s historically underserved high schools, we aim to change that, at scale. Stanford’s effort shows what it looks like for a university to play a leadership role in broadening educational opportunity.”

This effort to prepare and encourage students from underrepresented backgrounds aims to address a disparity in college pathways: Research shows that the majority of high-achieving high school students from low-income families do not apply to, let alone attend, the selective colleges where they would have opportunities to flourish.

The computer science course, led by Stanford computer science lecturer Patrick Young, is believed to be the first time in Stanford’s 136-year history that the university has offered a dual-enrollment course with transferable college credit in collaboration with high schools nationwide, from Brooklyn to Oahu.

Young and members of Stanford Digital Education and the Ed Equity Lab set up the course keeping in mind that many of the students may have little background in the subject. “The goal is college-level rigor with support designed to meet the needs of high school students,” Young said.

Like previous courses offered by Ed Equity Lab, the Stanford computer science classes take place while students are at their schools as part of their daily schedules. It departs from other Ed Equity Lab courses, though, in key respects. Stanford alumni and students serve as section leaders and advisors. Teachers from the high schools, who are in the classrooms to facilitate and help with each lesson, are provided with professional development and support from Stanford’s Transforming Learning Accelerator .

“Our vision is to contribute to a more just, equitable and accessible system of education by uniting Stanford’s human and technological capabilities in new combinations,” said Matthew Rascoff, the newly appointed Stanford Vice Provost for Digital Education, who is leading the effort. “Together we can build a powerful escalator for socioeconomic mobility.” He was previously a special advisor to Provost Drell.

Rascoff, who earlier in his career was associate vice provost for digital education and innovation at Duke University, where he established the Duke Learning Innovation team, and founding vice president for technology-based learning and innovation for the University of North Carolina system, said more courses, including introductory writing and Structured Liberal Education, will be offered this academic year through the Ed Equity Lab’s network.

Last month, at a virtual convocation for the students and teachers celebrating the start of Computer Science 105, Provost Drell made a special appearance and emphasized how Stanford shares the Ed Equity Lab’s vision of leveling the playing field for high-achieving students from low-income backgrounds. Providing college-level courses at no cost to students could help to bring new students to Stanford and to other great schools, she said.

This pilot project marks the beginning of a broader effort at Stanford to widen access to higher education through digital teaching and learning strategies. “Like the Ed Equity Lab, we believe that human potential is evenly distributed, opportunity is not,” she noted afterward. “Stanford is committed to changing that.”

Media Contacts

For Stanford University: Mara Vandlik, University Communications, (630) 567-0865, [email protected]

For National Education Equity Lab: Jenna Talbot, Whiteboard Advisors, (760) 390-6978, [email protected]