PhD Program FAQs

Can I jump into doing research right away?

At Duke, jumping into research right away is definitely possible. Of course, conducting research during your first year is contingent upon your background and interests. In terms of funding, faculty mentoring, and peer support, Duke provides an environment very supportive of research from day one. If you are interested in doing research right away, you should talk with faculty as soon as you arrive (or earlier via email) about projects they are working on. However, doing research requires quite a bit of statistical background and hence, most students start research after their first year exam. Regardless of your statistical background, you are encouraged to begin talking with different professors about research opportunities as soon as you arrive. This will help you identify potential professors you would want to work with during your time at Duke. Students should have identified who they would like to work with by the end of the first year.

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I have been assigned a first year advisor. Does this mean I will be working with this professor on my dissertation?

No. Your first year faculty advisor is your advisor for your first year only. Their responsibility is simply to give you any support you need throughout your first year. During your first year, you are expected to actively seek another advisor with whom you can begin doing research. This may or may not be your first year faculty advisor.

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What should I do the summer before my first semester to prepare for the Ph.D. Program?

The first year of the Ph.D. program can be intense. However, with adequate preparation you can make the transition from undergraduate to graduate work smoother than it would otherwise be. It will help your first semester (and every semester thereafter) go smoother if you are already familiar with Linux, LaTex, R, and MATLAB before you begin your first semester. If there are any of these you haven't heard of, then see the compution section of the website for further discussion. As Duke is primarily a Bayesian department, there is a good chance you will need some C or C++ programming at some point during your course of study. However, learning Linux, LaTex, R and MATLAB is of much higher importance than learning low level languages as you will use them immediately upon commencement of the program. As you will most likely be a TA for undergraduate classes during your first year, it would be very helpful to review basic statistical principles such as confidence intervals, hypothesis testing, counting techniques, basic probability, central limit theorem, distributions (e.g. normal, binomial, t, etc.), finding expected values and variances, and other selected topics suitable for an introductory statistics course. You can obtain a list of topics for the undergraduate level introductory statistics classes under the course link on the department website (stat.duke.edu/courses). In order to prepare for first year course work, you can also spend time studying statistical topics such as simple and multiple linear regression, mathematical statistics, Bayesian inference, and real analysis. Also, reviewing calculus and linear algebra topics as needed is definitely encouraged. Suggested reading and study material include Statistical Inference by Casella and Berger, Applied Linear Regression by Weisberg, Bayesian Data Analysis by Gelman, Carlin, Rubin, and Stern, Matrix Algebra from a Statistician's Perspective by Harville, and other books on the above topics encountered during your undergraduate study or elsewhere. Last, and certainly not least, take time to relax and enjoy the summer. The Ph.D. program is very intense at times, and often summers are needed to catch up on research, attend conferences, etc. After enrolling in the Ph.D. program, your summers will typically be spent either doing an internship or working on your thesis work and/or research projects. Take time the preceding summer to relax because you may not have time to relax once you commence the program.

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Should I purchase a laptop or personal computer for use during the Ph.D. program?

A lot of students find it helpful to have their own personal laptop so they can work away from the office. However, purchasing your own personal computer or laptop is NOT required. Each student is provided with a department owned desktop at their desk. Department desktops can be remotely accessed by any computer via Virtual Computing Network (VNC) or secure shell (ssh) on Unix or Linux based platforms. More information can be found on the Remote Access to Department Resources website at stat.duke.edu/resources/computing.

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Is there an orientation for incoming students before Fall semester starts? If so, when is it?

There are three orientations that occur for incoming students. The first is held by the international house, the second is held by the graduate school, and the third is held by the department of statistics. The international house orientation is typically two weeks before the first week of the semester. Both the graduate school and the epartment orientation are held the week prior to the first week of school. All students (especially international students) are encouraged to attend all orientation events and should plan their arrival in Durham accordingly. Information regarding the graduate school and international house orientation will be mailed to you or can be found on the graduate school orientation website. The graduate consultative committee (GCC) is responsible for holding a department orientation. It is typically held the week before the Fall semester starts (the same week as the graduate school orientation) but after the graduate school orientation. The GCC will contact you via email about when and where this orientation will be held.

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I hear Duke is a heavily Bayesian department. What does this mean? Will I still learn classical statistical methods?

Bayesian statistics is probably a bit different from what you learned in Stat 101 as an undergraduate. Bayesians tend to think about problems in different ways, and work on different aspects of these problems, than classical statisticians. Bayesians do more applied science, more computing, and less asymptotics than do students at most classical departments. If you are interested in more specific differences between Bayesian and classical statistics you can read more at any of the following places:

While you will still learn classical viewpoints on statistics such as p-values, most powerful tests, interval estimation, etc., these topics will probably not be the focus of your research as the majority of faculty focus on Bayesian solutions to statistical problems.

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The Statistical Science website says there are no course requirements. Does this mean that I don't take classes?

No. The no course requirement just means that there are no specific classes you are required to take in order to graduate. Most students take a full load of classes (3 classes) each semester in their first and second years, and then begin to take fewer or no classes as they transition into research. The no course requirement is also intended to give students the opportunity to take relevant classes outside of the Department of Statistical Science, especially if they are relevant to the student's research interests. By having the no course requirement, students are free to choose which classes they want to take (whether in the department or not).

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What courses do I need to take in order to pass the first year exam (FYE)? Is it OK to skip those classes if I already have the necessary background and just do the homework?

The first year exam (FYE), that you must pass in order to continue in the program, covers topics presented in:

  • STA 601 (290) - Modern Statistical Data Analysis
  • STA 711 (205) - Probability and Measure Theory
  • STA 721 (244) - Linear Models
  • STA 732 (215) - Statistical Inference Part 2
  • STA 831 (214) - Probability and Statistical Models

You can skip any of these classes if you feel you have sufficient background in the material covered in a particular class, but it is recommended you do the homework exercises to prepare for the first year exam. 

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What textbooks should I bring with me for classes I am going to be taking?

Here is a list of books that students recommend you bring/buy for your own reference and/or classes you will take.

  • Statistical Inference by Casella and Berger. You will need this for STA 611 (213) and STA 732 (215). Many first year exam questions are based on this book.
  • Bayesian Data Analysis by Gelman, Carlin, Rubin, and Stern. This book is a good reference book for Bayesian methods. While classes don't teach directly from this book, this book is often referenced in order to supplement class material.
  • Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference by Gamerman and Lopes. This book provides good discussion about algorithms commonly used in Bayesian analysis such as Gibbs sampling, Metropolis-Hastings, etc. You will likely cover the material in this book in STA 831 (214).
  • Monte Carlo Statistical Methods by Robert and Casella. This book covers the same topics as Gamerman and Lopes above but in greater depth.
  • Matrix Algebra from a Statistician's Perspective by Harville. This is a great reference book for matrix and linear algebra.
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What classes should I register for in my first semester?

The courses you elect to take for your first semester will depend on your background. Three of the classes offered in Fall are covered on the First Year Exam (STA 601 (290), STA 721 (244), and STA 711 (205)) so you should begin by considering these classes and eliminating those whose material you already feel comfortable with. Students generally choose THREE of the following classes to take their first semester:

  • STA 611 (213) Introduction to Statistical Methods - This class is taught from the first half of Statistical Inference by Casella and Berger. This class covers topics such as basic probability theory, transformations, expectations, common families of distributions, multivariate random variables, and sampling distributions. If you have little or no mathematical statistics background then be sure to take this class. Most first-years will probably find this class unnecessary, but if you feel like you need some review, you may want to consider auditing. 
  • STA 601 (290) Modern Statistical Data Analysis - This class introduces students to classical and Bayesian statistical thought. This class also introduces students to basic statistical analysis (such as exploratory and graphical analysis) using R. This class will also touch on LaTex. Some first-years will not need this class.
  • STA 721 (244) Linear Models - A thorough introduction to linear regression, with a focus on Bayesian modeling and computation. Model selection, Bayesian model averaging, and other topics. Most (not all) first-years decide to take this class.
  • STA 711 (205) Probability and Measure Theory - STA 205 is an introductory class on probability from a measure theoretic viewpoint. Topics include rigorous treatment of Lebesgue measure and integration, convergence of random variables, Lebesgue's dominated convergence theorem, etc. Almost all first-years take this class.
  • MATH 241 Real Analysis - The topics covered in Math 241 are also covered in STA 711 (205), so many students take one or the other. If you really like probability (mathematical theory) and want to work mostly in statistical theory, then taking MATH 241 at some point is suggested. 
  • MATH 216 Applied Stochastic Processes - Discusses Markov chains, martingales, Brownian motion, etc. 
  • STA 841 (216) Generalized Linear Models - Covers topics such as log-linear models, Poisson regression, probit models, logit models, models for longitudinal, clustered, and multivariate data, latent factor models, stochastic search algorithms, etc. Generally for students who are familiar with Bayesian methods such as Gibbs sampling, Metropolis-Hastings, and have had an advanced course in linear models. 

A simple suggestion would be to begin with STA 601, 721 and 711 (290, 244, and 205), then consider replacing STA 601 (290) with MATH 216 and/or STA 721 (244) with STA 841 (216) if you are more advanced. STA 841 is a permission number course so you'll need to talk to your advisor or the instructor to determine if you are qualified. A "typical" course of study can be found on the department website stat.duke.edu/phd under the links on the left side. 

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Can I take classes from UNC or NC State if they turn out to be useful to my research? If so, how can I do that?

While it is possible for students at Duke to take classes at UNC or NC State, most students find the selection of courses within Duke to be sufficient for their research interests. If you are interested in taking a class at UNC or NC State, then you will need to get approval from your advisor and the director of graduate studies. Full details can be found on the Duke registrar's website: www.registrar.duke.edu/registrar/studentpages/student/interinstitutional-registration.html

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How and when do I register for classes?

Sometime during the summer, Duke will send you your NetID in the mail. Although you can register as soon as you have your NetID, you do not need to register until after you come to campus and speak with your first year advisor as well as other students. Many students still add or drop classes during the first week of school. To register, once you have your NetID and password, you can log onto the registrar's website registrar.duke.edu/ and click on "ACES." Sign in using your NetID and password, then click on the "Registration" tab at the top of the screen. The first time you register you will be required to enter personal information such as official name, address, etc. You will be required to verify this information the first time you register for a new semester. You will also be required to enroll for continuation (CTN) each Fall and Spring semester; this may be done automatically. If you are a research assistant during the summer, you will also be required to manually register for CTN in the summer.  The best way to register is to go to your "Bookbag" which is a tab under the "Registration" tab in ACES. From here click "search", select the appropriate semester,  click on the first letter of the department you are searching for (for example, click "S" for Stat classes), and click the green arrow next to the department name. This will list all the classes offered by that department in a given semester. To add a class to your bookbag, click the green arrow next to the class and select "add to bookbag." At this point you still have not registered for the class. You can officially register for all the classes in your bookbag simultaneously or one at a time by clicking the appropriate link. Some classes may require permission numbers. If this is the case you will need to obtain the permission numbers from Karen Whitesell or from the instructor (usually this can be accomplished over email). Once the class has been moved to the "class schedule" section, you are officially registered for the class.

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How do I create a personal webpage?

Everyone with an account in the Department of Statistical Science will have space for a personal website in their home directory with a url of  http://www2.stat.duke.edu/~user/  where "user" is your DSS username.  See the instructions under Resources for Creating a Personal Website

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Do I need to know C, C++, or another programming language?

Maybe. As the department is primarily Bayesian, your PhD dissertation will probably involve sophisticated models and potentially complex algorithms for learning parameter estimates and other quantities of interest. R and MatLab are excellent languages for prototyping algorithms and may be fine for some problems. C, C++ and FORTRAN are among the best (fastest) languages for programming loops and numerical operations, but typically have a higher cost in programming time compared to R or MatLab. C, C++ or FORTRAN can  be called from R or MatLab allowing you to eliminate bottlenecks in your programs, and increase the computational efficiency of your code, while providing an easy to use user interface. More efficient code means more time to work on other topics, so more papers and hopefully a better job at the end! If you have the opportunity to learn a language like C or C++, we would encourage you to take advantage of it before coming to Duke, although you can pick it up later if and when you need it.

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How do I add my Thesis or Dissertation to the website?

Once your thesis/dissertation is approved and in final form, your are ready to link your thesis to the website!

  1. Please login to the website with your netid
  2. Please complete the thesis form at https://stat.duke.edu/node/add/thesis  Fill out all of the required fields. If you are a Master or PhD student, you should have deposited your thesis in the Duke Library's DukeSpace repository and will need that URL to link your thesis to the file there. Please see the information in the Grad School about electronic thesis/dissertaiton submission. If you are an undergraduatestudent, you may also submit you undergraduate thesis to DukeSpace. Otherwise, please upload the pdf file of the dissertation.
  3. Click Save. The information will automatically be linked to your personal webpage in the department.
  4. Go to https://stat.duke.edu/people/directory and locate your personal webpage entry to review your page.

You may edit the page if you need to update any information.  Just click the Edit tab (assuming you are still logged in with your netid)  If you have any problems with completing the form, please email help@stat.duke.edu.

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How do I upload and add a link to a pdf file?

There are two scenarios: a link to an external file available on the web  or an internal file that you need to upload and add a link to the file.

If you wish to add a link to a pdf file in a webdocument follow the following steps for uploading and adding the link

  1. First make sure that the Text Format for the Body of the page that you are editing is set to Full Html
  2. Type in the text
  3. Select the text and click on the "Insert/Edit Link" button (looks like a chain link)
  4. To upload a pdf and link,  click on the "file browser" button to the right of the URL field  (white square with red checks)
  5. Click "Upload File"   browse to find the file and upload.
  6. Select File and click "Insert File"
  7. Click Update to save link

Save document and test links to make sure that they work

For external links there are 2 options:  If you use a filtered or Full Html text format urls are automatically converted to links.  If you do not want to put the url in the body, follow steps 1-3 above.  For step 4: type in the external URL in the url field.   CLick Update. 

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How do I add an image to a webpage?

To add images within the body of a webpage follow the following steps:

  1. First make sure that the text-format for the Body is Full Html; this will bring up a rich-text editor
  2. Resize your image using your favorite photo editor so that the size will load quickly (1 MB  from most cameras is too large)
  3. Once you are ready to upload, place the cursor at the location for inserting the image, then click on the "Add Media" button (image of a mountain) browse to find the image in your local director and then click Upload.  (note if the image has already been uploaded, select Library to browse for images)
  4. To resize or change alignment, click on the image to select, then click the "Insert/Edit Media" button (looks like an image of a tree)
  • Select the Appearance tab
  • modify the width or height, but keep the "Constrain Proportions" box checked to preserve the aspect ratio of the original image
  • select an Alignment (left, right, etc)
  • make sure that the Class is "Not Set"
  • Click Update  (you may wish to add an infromative title and description on the General tab first)

      5. Repeat step 4 if you need change the size or alignment.   You can drage the image to a new location or click on "html" to edit the ran html to move the location of the image.

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What type of operating system do computers in the department use?

Most desktops in the department are running Scientific Linux 6 (SL6), a freely available linux distribution.   Linux offers several Graphical User Interfaces (GUI), such as KDEGnome XFCE that provide customizable desktop environments with toolbars, windows, folders, and icons like in Windows or Mac OS X environments, while providing a command line shell for more traditional unix based commands. The Computing Resources section of the Website provides links and introductory material on unix.

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Do I get a Duke Email account? How do I set it up?

Everyone affiliated with the Department will have two email accounts - one from Duke and the other for StatSci.  Your Duke email address will be netid@duke.edu where netid is your Duke NetID; this will be emailed to you during the summer before you arrive at Duke.  You may access your Duke email using the Duke web client at https://webmail.duke.edu/

You will also receive an email account from the Department when you arrive in the Fall.   For more about email, see the entry under Computing in the Resources section.

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What do I have to do to receive the financial aid specified in my acceptance letter?

About half of the financial aid specified in your acceptance letter will be given to you without you having to do anything except maintaining good academic standing. The other half is contingent upon you being a teaching assistant (TA) or research assistant (RA) within the department.

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How will the financial aid specified in my acceptance letter be paid?

Your tuition, health fee, and continuation fee will be paid for automatically. You are responsible to pay the recreation and activity fee (about $50). Additionally, your financial aid package will cover the cost of your medical insurance.   If you are a TA, you will be paid monthly on two separate checks. The first check is for your TA work and will be paid the 25th of every month starting in September and continuing through May. The second check is from you maintaining good academic standing and will be paid on the last working day of each month starting in September and continuing through May. If you are an RA, you will be paid once per month on the 25th from September through May.  PLEASE NOTE that as a first year student you will not be paid until the 25th of September, so you will need to keep enough money in your bank account to survive until then. Please plan ahead financially so you don't get into financial trouble prior to your first payment. 

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Can I receive financial aid if I am a research assistant (RA)?

Yes. Most students starting in their second or third year will be paid on grants of the professor for whom they are an RA. This money will replace what you would have received had you been a TA.

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Because financial support is paid over the 9 month school year, what do I do about summer funding?

Students typically choose to get summer funding from one of three sources: internships, research, or teaching. During the summer, a lot of students choose to do an internship in industry or research groups. Internships are typically arranged between January and March, though it certainly will not hurt to begin looking earlier. A list of internships will be posted on the AMSTAT website, generally in November. Additionally, you will receive emails throughout the year about various internship opportunities available to students. If there are any internships you are particularly interested in, be sure to talk to the faculty to see if they have any contacts with the company. This can increase your odds significantly. Students nearing graduation typically choose to spend the summer working on their dissertation research. Therefore, their summer funding comes from grants awarded to professors. A third option is to teach a class during the summer semester for the department. The statistics department offers several introductory undergraduate courses that graduate students teach during the summer semester. If you want teaching experience, you are encouraged to teach a class during the summer and you will be compensated for your work.

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Do I have to be a teaching assistant (TA) to receive financial aid? If so, what responsibilities will I have as a TA?

No. HOWEVER, if you are not a TA or an RA for the department you will not receive that portion of the financial aid specified in your acceptance letter (this is about half of the aid specified in your acceptance letter).  As a TA your responsibilities include: (1) grading, (2) holding office hours, (3) holding review sessions for exams, (4) doing whatever professors need you to do. Additionally, some courses have a computing lab component that is run by a TA. There is a complete list of TA responsibilities on the department website (stat.duke.edu/resources/teaching-assistants).

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Where can I find housing information for on-campus and off-campus housing?

The community housing website (http://studentaffairs.duke.edu/forms/chouse/search.php) is established to help graduate students find either on-campus or off-campus housing in the Durham area. Many students start their housing search at the above website. You can also use traditional search engines such as Google, Yahoo, etc. to help you find housing. Many students also suggest using Craig's List to find housing.  If you have sufficient finances to make a trip to Durham to search for housing, it would be a good idea to visit the apartments you are considering before actually moving here. However, if this is not an option you can feel free to ask your student mentor to help you out by answering questions about locations you are considering.  If you are considering off-campus housing, students generally suggest to avoid apartments that have the word "Duke" or "University" in the title of the apartment complex. These particular apartment complexes have been known to have a bad reputation. Another apartment complex to avoid is called "Chapel Tower." For more details about the reputation of off-campus apartment complexes, take a look at the annual Duke housing survey, last done in 2009.

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Do I need to get a Duke Parking Pass?

Yes, but only if you have a car and plan on driving to campus everyday. However, Duke parking passes are very expensive and parking lots can be a long walk from the department building. Some students find that living closer to campus and riding a bicycle, taking the bus, or walking is more convenient than driving to campus everyday. An alternative to a car is to drive a motorcycle or moped. Motorcycle parking passes are cheap and you can park almost anywhere on campus (including right next to the statistics building). To avoid purchasing a parking permit, some students find it convenient to park their cars along the Duke commuter bus routes and take a (free) bus to campus. Additionally, if you live with/near other students, you may consider a carpool permit. The carpool permits tend to be much cheaper than indidivudal passes and can often be attained for parking lots that would otherwise be considered full. Access the Duke Parking and Transportation page for more information: parking.duke.edu/parking/permits/index.php.

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What is the weather like in Durham?

The weather in Durham is great for 9 to 10 months out of the year. The latter part of July and August can get hot and humid, while January can be a bit cold (snowing maybe once or twice a year). The leaves in the Fall are fantastic, and the Spring flowers (e.g., in the Sarah P. Duke Gardens) are beautiful! You should plan on having clothes for all four seasons, but the weather is typically mild and comfortable for 9 to 10 months out of the year.

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What do international students typically do for housing?

The Graduate School arranges priority on-campus accommodation for all incoming, new overseas students in Central Campus apartments. Some international students stay on campus for a year in order to become accustomed to life in the United States. Other first year students prefer off-campus accommodation; there are lots of options very close to campus.  Although the on-campus housing tends to be more expensive, current students have found that on-campus apartments provide a good chance to meet other graduate students. Feel free to contact some of our current international students (or your student mentor) for insider information. The Graduate School has full details about housing at http://studentaffairs.duke.edu/hdrl/graduate-professional-students.

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When during the summer should I plan on moving to Durham?

The short answer is: whenever is most convenient for you. Many students choose to move to Durham in July or early August in order to get situated before a new semester begins. However, you can move to Durham right up until the day before the first day of school. It is up to you. You are, however, encouraged to attend the various orientations and should probably plan on arriving in Durham prior to the orientation events.

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Should I live on-campus or off-campus?

Many international students prefer to live on campus during their first year so that they can become accustomed to life in the U.S. before living off campus. However, it is certainly not a requirement for international students to live on-campus their first year.  Most U.S. students choose to live off-campus. Off-campus housing is easy to come by in Durham as there are many apartment complexes and condominiums near campus. If you have a bicycle or car there are many apartment complexes within a short commute to Duke.  Advantages to on-campus apartments: (1) fully furnished, (2) fast Ethernet connections, (3) close to bus stops, (4) can be paid for via direct deposit from your bursars account, and (5) quiet hours. Disadvantages include expenses as many on-campus housing options are twice as expensive as off-campus counterparts. Also, the number of on-campus apartments available for graduate students is small, making them difficult to come by.  One thing to consider when thinking about on-campus vs. off-campus housing is your mode of transportation. If you do not have a car then you will want to live either on or very close to campus. If you do have a car (make sure to read the section on parking passes) then your commute will be reasonable anywhere in the Durham area.  Regardless of whether you live on-campus or off-campus, use common sense by locking your door, not walking home late at night, and use cabs if necessary. While Durham is generally quite a safe city, there are incidents which occur close to campus and students are encouraged to take the proper precautions.

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Should I plan on attending the orientation for international students?

Yes. They cover everything that international students need to know to survive in graduate school and will provide a much better orientation than this question and answer document. During the orientation the International House (www.studentaffairs.duke.edu/ihouse) will also cover any legal issues that may arise from being an international student (e.g. visas).

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What should international students do about social security numbers?

Issues regarding social security numbers (SSNs) will be handled during orientation. Students can also visit the International House to go to the social security office to obtain social security cards if needed. More information about SSNs and other topics can be accessed in the informational handouts provided by the International House.

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What should I do when I arrive at the RDU airport?

It is best to arrange with someone before hand to pick you up from the airport. You can either talk with your student mentor or the GCC to arrange for someone to pick you up. If you find yourself at the airport without a ride to your house, you can take a taxi for about $35-$40. 

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What is the admissions process?

Statistical Science typically admits 9-12 Ph.D. students each year.  We make admission decisions sequentially, in January-April. We cannot provide individual feedback on "probability-of-admission" in advance of admissions decisions.

We admit students to the department, not to specific advisors/research groups. Students choose thesis topics and associate with eventual Ph.D. advisors during the course of their study here, not prior to, or for, admission.

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What is the deadline to apply?

December 1st is the absolute deadline for submission of Ph.D. applications at the Graduate School admissions web site. Applicants must meet this deadline in order to be considered for admission the following fall semester. By December 1st, a student's web application must be complete (although it is acceptable for final scores from standardized test, and some reference letters, to come in a little later). We do not accept applications for admission in Spring, nor do we accept applications for part-time study.

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How will I pay for the program?

We have a strict policy of providing full financial support for all admitted students that require support.

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What are the GRE requirements?

GREs and other score requirements are defined by the Graduate School; see the admissions FAQ page of the Graduate School for more details. Our students have excellent scores (see admissions statistics). However, scores are only one piece of the overall record and there are no formal cut-offs for GREs that would imply an accept/reject decision. We do not require, and do not consider, GRE subject test scores. The Graduate School requirements of GRE scores no older than 5 years will not be waived.

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What do I need to submit as a proof of proficiency in English? Is there a minimum cut-off?

The Graduate School requires English testing scores (TOEFL) no older than 2 years for applicants whose native language is not English. This requirement will be waived (only) for an applicant who - at the time the application is submitted - has studied full-time for 2 or more years at a college or university where English is the language of instruction.

In recent years, international students admitted to our program generally have overall TOEFL scores above 110. Potential applicants below this level will be considered, but might be encouraged to retake the TOEFL if current scores are substantially below that level.

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Can I send my application materials directly to the department?

Applicants should NOT send any application material to the department. Just follow the detailed Graduate School admission instructions.  Any additional material (writing samples, papers, etc etc) sent to the department will be ignored.

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What background do I need for the program?

Our students come from a range of disciplines. A strong background in advanced multivariate calculus and linear algebra is most important, and prior exposure to mathematical analysis at  the level of the Duke course MATH 531 Basic Analysis (in the Duke Mathematics department)  is recommended. Prior research experience is always a factor in admission decisions. Prior use of computing in statistical/scientific problems is valuable since there is a major emphasis on statistical computation in modern statistical research. Check the "Resources" link at the departmental Graduate Consultative Committee web pages, for a FAQ document and other material provided by current students.

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