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Doctoral program statistics.
Use this page to explore summary statistics for research doctoral programs administered by the Graduate School. Methodology and definitions are provided at the bottom of the page.
For additional graduate statistics, survey results, and career outcomes data, see program metrics .
Admissions counts.
Applied, admitted and matriculated counts are reported for new, external applications only. Current students who transfer into a different graduate program at Cornell without submitting a new application are not counted here.
Individuals may defer enrollment and/or be admitted to a program that differs from the one to which they originally applied. This can cause admitted and matriculated counts to be higher than application counts in some fields.
Admission cycles start in the summer and continue through the following spring. For example, the 2020-21 admissions year includes data from summer 2020 through spring 2021. Because these dashboards are updated annually in the fall, the most recent year will not include data from the spring.
Admit rate is the percentage of applicants who were admitted. Highly selective programs tend to have low admit rates. The five year average provides a good indicator of typical admit rates.
Enrollment numbers are derived from the student enrollment snapshot that is captured the sixth week of each fall term. Only students who are enrolled on the census date are counted. Students on an approved leave of absence are not included.
Completion rate is the percentage of entering doctoral students who successfully completed the degree. Completion rates are reported by entering cohort, which is defined by the first term in which a student is enrolled in their doctoral program, regardless of any prior enrollment in a master’s program. The cohorts included here entered their programs seven to twelve years ago, and thus have had adequate time to finish a doctoral degree.
This graph shows the current status of students who began the doctoral program in each of the last ten academic years. Students listed as completed have received the doctoral degree. Students are considered current in their program if they are still actively pursuing the doctoral degree or are on an approved temporary leave of absence. Students listed as discontinued have either left the university without a degree or switched to a different type of degree program (in many cases a master’s degree).
Time-to-degree degree measures the time in years from the first day of a student’s initial enrollment in their doctoral program to the day of their degree conferral. Time-to-degree measures elapsed time only, not enrolled time. It does not stop and start if a student takes a leave of absence. For Master’s/PhD students, time-to-degree starts when they begin the PhD phase of their studies. If a student was enrolled in a master’s program prior to matriculating in the doctoral program, the separate time in the master’s program is not included. Because of this, time-to-degree may appear shorter in some doctoral programs where it is common to complete a master’s prior to matriculation in the doctoral program.
The median time to degree can be thought of as the “mid-point”, where half of the students completed in a time period that is less than or equal to this value. The median is not affected by extreme values or outliers.
Ph.d. program.
Fields of study include the main areas of statistical theory (with emphasis on foundations, Bayes theory, decision theory, nonparametric statistics), probability theory (stochastic processes, asymptotics, weak convergence), information theory, bioinformatics and genetics, classification, data mining and machine learning, neural nets, network science, optimization, statistical computing, and graphical models and methods.
With this background, graduates of the program have found excellent positions in universities, industry, and government. See the list of alumni for examples.
The PhD Statistics program provides excellent training in the modern theory, methods, and applications of statistics to prepare for research and teaching careers in academia or industry, including interdisciplinary research in a wide array of disciplines. The median time to degree is five years.
Students will take courses in modern theory, methods, and applications of statistics, demonstrate mastery of this material via a qualifying examination, and then conduct statistical research under the supervision of one of the many regular or affiliate faculty members in the department, resulting in a dissertation.
The PhD qualifying examination is primarily based on the first-year curriculum. Most students pass at the end of the summer after the first year of the program. Students select between two versions of the examination, one with questions from mathematical statistics and probability or the second with questions from mathematical statistics and statistical methods.
Graduates are prepared for positions in academia, business, or government. They have taken positions at leading universities such as UC-Berkeley, Penn, and Yale and at top companies such as Google, Facebook, and Eli Lilly. The department strives to support students in the PhD program as teaching, research, or project assistants.
Questions about our Statistics PhD Programs can be directed to our graduate program coordinator at [email protected] .
There are two program options students can select from – PhD Statistics, Statistics Option or PhD Statistics, Biostatistics Option .
We have a single admissions process for both options and we encourage applicants to select only one of the options and not list both when applying. Selection of the program to which you apply has very little influence on the admissions decision. If you are unsure of which program option to choose, students who enter our PhD program may readily switch between the programs.
Please note that the Department of Biostatistics and Medical Informatics has a separate PhD program in Biomedical Data Science that is distinct from the programs in the Department of Statistics.
Statistics Option
Career Outcomes : Students will be prepared for research and teaching careers in academia, industry, and other disciplines.
Coursework : Students will take courses in several broad areas of statistical methods and theory. This includes two-semester sequences in mathematical statistics and in statistical methods, either a course in probability theory or a course in statistical computing, a statistical consulting course, and a wide variety of elective options.
Biostatistics Option
Career Outcomes : Students will be prepared for careers in clinical research, genetics, drug testing, and experimental design in academia, government, and private sector.
Coursework : Students in the Biostatistics named option complete the same required courses as are in the Statistics named option, but have additional required coursework in biostatistics and biology and fewer elective course requirements.
The application deadline is December 1 for a fall term start (no spring admissions). A reminder to only list either the Statistics Option or Biostatistics Option in your application, not both. Again, students who enter the PhD program in Statistics can readily switch between the programs.
We welcome applications from around the world and strive to admit well-qualified applicants who are interested in the diverse array of research interests of our faculty. We do not make preliminary evaluations of any applicant inquiry based on email communication. No decision will be made until after the deadline has passed and a completed file (including the application fee) has been received.
Before applying to the Statistics Department, please read the Graduate School Frequently Asked Questions. Note that there is a non-refundable application fee. Applicants whose native language is not English, or whose undergraduate instruction was not in English, must provide an English proficiency test score.
To be considered for financial assistantship, all required application materials listed below should be submitted via the electronic application at https://apply.grad.wisc.edu/ by the December 1 deadline.
Please upload a PDF copy of your CV or Resumé to the online application.
A supplemental application is required as part of the online application. You will be asked to answer the following questions and provide the following information:
The GRE is not required.
Consult the Graduate School for general information about graduate admissions to the University of Wisconsin-Madison.
If you have any further questions, please email [email protected] . Please include your full name and what semester you are interested in applying for.
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On the other hand, many people say a PhD in statistics is unique because it genuinely is worth it for industry jobs since it earns you autonomy when working on models and projects. Also, many high-earning/senior positions are reserved for PhDs only, such as data scientists at FAANG, pharmaceuticals, and even some operations/quantitative ...
A PhD is a research degree, but it is also a requirement for most stats teaching positions. You can teach high school with a BS. You can teach at a university with a MS, but most of those positions are adjunct. You almost always need a PhD to teach classes above the most basic level or to have any job security.
First year Stats PhD student here, I can share advice based on my application experience. First, your GPA of course is only one component of your application. Rec Letters, research/intern experience, upper level coursework, and strength of personal statement all matter as well. I personally spent a lot of time thinking about what I wanted to ...
A PhD in statistics is more flexible and useful that PhDs in some other areas. The usual issue with PhDs one hears about is that one becomes over-qualified for non-academic work once one has a PhD. Additionally, there is a lot of time spent getting it. However, statistics is intrinsically an applied science, and one that is in big demand across ...
About the "earning", it's no good earning more money earlier, but start in debt. Assuming that he can get the same position after doing a MS or a PHD, unless what he earns in the 2 years difference between MS and PhD minus the cost of the MS, is more than what he gains as PhD, he still loses money in the end.
Even with an irrelevant project, a PhD in statistics is going to give you some training that is useful in a general sense (better theory knowledge, better maths, etc.). Although there is value in this program, there is also a big opportunity cost. If you spend a standard full-time period of four years doing a PhD, that is going to be at the ...
There's sometimes a mild prejudice that people in mathematical statistics are overly specialized and outside of the mainstream of mathematics. For example, it's possible to get a Ph.D. in mathematical statistics while having considerably less breadth of mathematical background than would be considered acceptable for a math grad student.
Ph.D. length. approximately 5 years. The relatively new Ph.D. in Statistics strives to be an exemplar of graduate training in statistics. Students are exposed to cutting edge statistical methodology through the modern curriculum and have the opportunity to work with multiple faculty members to take a deeper dive into special topics, gain ...
the difference between an MS and a PhD in stats is the level of rigor. You can take a mathematical statistics class in your MS and still struggle a lot in a PhD mathstats course. With your background, a biostats phd may be more appropriate - no bio background required and not as rigorous of a math requirement. 7.
University of Washington. Seattle, WA. #7 in Statistics (tie) Save. 4.3. With a graduate degree, statisticians may find jobs working with data in many sectors, including business, government ...
Outside of academia, PhD degrees are more often hired by biostat consulting firms and pharmaceutical companies to handle complex data analysis. All in all, if you want to be involved in the actual study and not just the data analysis, masters degrees are probably the way to go. 4. MD/MPH or MD/PhD.
Ph.D. Program. Ph.D. Program. The PhD program prepares students for research careers in theory and application of probability and statistics in academic and non-academic (e.g., industry, government) settings. Students might elect to pursue either the general Statistics track of the program (the default), or one of the four specialized tracks ...
PhD Program. A unique aspect of our Ph.D. program is our integrated and balanced training, covering research, teaching, and career development. The department encourages research in both theoretical and applied statistics. Faculty members of the department have been leaders in research on a multitude of topics that include statistical inference ...
The knowledge from real life work experience in the field can really help when doing a PhD. You also are more mature, more focused, and know what you are sacrificing by being in school. Giving up 3-5 years of your working life and salary is no small sacrifice. I did my PhD i'after 3 years of industry.
PhD Program Overview. The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability.
Use this page to explore summary statistics for research doctoral programs administered by the Graduate School. Methodology and definitions are provided at the bottom of the page. For additional graduate statistics, survey results, and career outcomes data, see program metrics. Applications, Admissions, and Matriculations.
See the list of alumni for examples. Department of Statistics and Data Science. Yale University. Kline Tower. 219 Prospect Street. New Haven, CT 06511. Mailing Address: PO Box 208290, New Haven, CT 06520-8290. Shipping Address (packages and Federal Express): 266 Whitney Avenue, New Haven, CT 06511. Department Phone: 203.432.0666.
/r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. _This community will not grant access requests during the protest. ... In a statistics PhD your first year will mostly be courses anyway, and I think coming right from undergrad you are best prepared for these courses ...
The PhD Statistics program provides excellent training in the modern theory, methods, and applications of statistics to prepare for research and teaching careers in academia or industry, including interdisciplinary research in a wide array of disciplines. The median time to degree is five years. Students will take courses in modern theory ...
2027. $153,000 + 15% Bonus ($23k) $158,500 + 12.5% Bonus ($20k) Total. $719,750 pre-tax. $543,500 pre-tax. As you can see, even with all of the assumptions that are clearly leaning towards the PhD route, even though the salaries work out to be similar, there is a big delta in total salary earned. Not only is there a massive delta, this could be ...