biostatistics phd programs list

Last Updated on September 5, 2022 by Smile Ese

Every year, students apply for more than 150 biostatistics PhD programs. However, there are not many great biostatistics phd programs out there. Yet, you can still find a good national school to attend and earn a statistics degree along with the title of a “doctor.”

This page explores all you need to know about Biostatistics Phd Programs List, biostatistics ranking, harvard biostatistics phd requirements, boston university biostatistics and best statistics programs.

Biostatistics is one of the fastest growing fields in the world. It’s a discipline that combines math and statistics with biology to study the collection, analysis, and interpretation of data to answer questions about health and disease. Read on to know more about Biostatistics Phd Programs List, biostatistics ranking, harvard biostatistics phd requirements, boston university biostatistics and best statistics programs.

If you’re interested in becoming a biostatistician, there are many things to consider. One of them is which program will give you the best training for your career goals. Here’s our list of the top 10 biostatistics PhD programs!

1) Harvard University – Harvard’s biostatistics program is ranked #1 by US News & World Report. Students can choose between working with human subjects or animal subjects, and they have access to state-of-the-art facilities with cutting-edge technology like high performance computing clusters as well as genomics equipment like next generation sequencing machines that allow students to study DNA at an unprecedented level of detail!

2) Johns Hopkins University – Johns Hopkins’ biostatistics program focuses on preparing students for careers in industry by providing them with a unique combination of technical skills coupled with business savvy that allows them to take care of both sides of an issue when it comes time for decision making processes within a company setting.

You’ve done your research, and you’ve narrowed it down to a few top choices for your biostatistics PhD program. Now what?

If you want to get a Ph.D. in biostatistics, there are a few things you should know before you begin your application process. First and foremost, get ready to do some serious writing! This is not just an academic program—it’s also a professional program that will require you to demonstrate your skills through writing samples, letters of intent, and other formal applications.

Many schools will require you to submit GRE scores, so make sure that you’re up-to-date on all of the changes that have been made since 2016! Some schools also require applicants to submit their GPA as well as letters of recommendation from previous professors or advisors who can speak about their academic performance and research interests.

Finally, be prepared for an intense workload! You’ll need to complete coursework in statistics (both foundational classes like calculus) and then move on towards more specialized courses in biostatistics such as epidemiology or public health sciences. You’ll also spend time working on projects for your dissertation research that will culminate in an oral defense before a committee of professors at the end of the program itself.

PhD Position in Biostatistics at the University of Twente 2021-2022

Biostatistics Phd Programs List

We begin with Biostatistics Phd Programs List, then biostatistics ranking, harvard biostatistics phd requirements, boston university biostatistics and best statistics programs.

California Schools with PhD Programs in Biostatistics

University of Southern California

The University of Southern California in Los Angeles offers a PhD in Biostatistics that requires a minimum of 60 units. Students must pass their qualifying exams and complete a dissertation and oral defense to graduate. The program offers specialization tracks in environmental statistics, clinical trials, biostatistics theory, and statistical genetics. Students in all tracks take core coursework in data analysis, statistical theory, and statistical computing.

University of California-Davis

The University of California-Davis has a PhD in Biostatistics program that normally takes 5 to 6 years to complete. Students must complete qualifying exams, a dissertation, and at least 58 units of coursework. The program also requires a 6-week biostatistical practicum experience that includes an applied data analysis project. Students also take required courses in topics like teaching methods for statistics, applied statistics, survival analysis, linear models, and computational statistics.

University of California-Berkeley

The University of California-Berkeley provides a PhD in Biostatistics that requires 6 to 10 semesters for completion. The program offers a unique and optional designated emphasis in computational and genomic biology for interested students. Students must pass qualifying exams and complete a dissertation. There is no set unit or course requirements for the program, so along with their committee, students can develop a plan of study that is unique to their interests and professional goals.

University of California-San Diego

The University of California-San Diego has a PhD in Biostatistics that includes faculty members from areas in biostatistics, bioinformatics, statistics, and computer science. The program is housed within the School of Medicine, which provides students with data from various areas of biomedical science. The program also provides funding through a stipend and tuition for selected students in the program. Students who do not complete their doctoral studies can earn a terminal master’s degree.

University of California-Los Angeles

The University of California-Los Angeles offers a PhD in Biostatistics that can be completed in 4 years or less. Students are trained in mathematical statistics and biostatistical methods, as well as a chosen field specialization, including areas in zoology, public health, medicine, bioinformatics, or pharmacology. Students must complete qualifying exams, a dissertation, a doctoral seminar, and a doctoral statistical consulting seminar. Core coursework includes topics in linear models, probability, large sample theory, and multivariate biostatistics.

biostatistics phd programs rankings

Now we consider biostatistics ranking, harvard biostatistics phd requirements, boston university biostatistics and best statistics programs.

Harvard Biostatistics tied with Johns Hopkins University and the University of Washington as the highest ranked biostatistics programs, ranking third among statistics programs overall.

In the 2018 US News and World Report ranking of graduate school programs, Harvard Biostatistics tied with Johns Hopkins University and the University of Washington as the highest ranked biostatistics programs, ranking third among statistics programs overall.

The top-ranked program was Stanford University School of Medicine’s Department of Biomedical Data Science, which placed second overall. In third place were Harvard’s Graduate School of Arts & Sciences’ Department of Health Sciences & Technology (HS&T), Johns Hopkins’ Bloomberg School of Public Health, and UW’s Department of Statistics.

Harvard ranked first among all non-PhD granting institutions for its doctoral program in biostatistics.

harvard biostatistics phd requirements

More details coming up on harvard biostatistics phd requirements, boston university biostatistics and best statistics programs.

If you’re interested in pursuing a PhD in biostatistics, one of the first things you’ll want to look at is what courses you’ll need to take.

To be admitted to the biostatistics PhD program, you must have a strong background in mathematics. This means at least one semester of linear algebra and multivariable calculus, as well as knowledge of at least one computer programming language.

All candidates for admission to the PhD in biostatistics program must have a strong background in mathematics—with college-level coursework successfully completed through multivariable calculus and at least one semester of linear algebra—as well as knowledge of at least one computer programming language.

The ability to write code is an important skill when studying statistics because it allows you to explore data and make predictions based on that data. This can be done with simple scripts or through more advanced software like R or SAS.

If you don’t have any experience with coding, but still want to pursue your doctorate, there are plenty of resources available online where you can learn how to write code. Even if you decide not to pursue a doctorate, having this knowledge will help you understand how data works and give you an advantage over other applicants who don’t have these skillsets!

boston university biostatistics

A Note to Our Admitted Graduate Students.

Please know that our priority during this challenging time is the well-being of our students and ensuring their ability to fulfill their academic program requirements. This applies to our current students as well as you, our incoming graduate students. Due to the growing impact of COVID-19, all prospective and accepted student days, interview days, and individual student visits will be moved to a virtual format.

We are also aware of the increasing concern around delayed visa appointments for our international students and delayed air travel for both our domestic and international students. Please be assured that we are currently working on alternative enrollment options for admitted students who are unable to make it to campus by the start of classes in September. You will be contacted via email with updates as they become available. Please be in touch if you have any questions or concerns.

Data lead to answers.

Fundamental to public health research and policy, biostatistics is also one of the most interdisciplinary departments at Boston University School of Public Health. By designing studies, developing new methodologies, and extracting and analyzing information from data, we help inform decisions to promote better health.

Biostatistics faculty members are internationally recognized for methodological innovations in clinical trials and observational studies, statistical genetics analysis, and Bayesian methods. They have a long history of collaborating to address some of the world’s most pressing public health concerns, as well as training the next generation of students to tackle emerging public health and medical issues with cutting-edge methods and technological skills.

Areas in which we are active include genetic studies of risk factors for breast cancer; safety and efficacy assessments of a new Alzheimer’s disease drug; comparisons of patient outcomes with different behavioral interventions; and studies to identify genetic and non-genetic factors of healthy aging and extreme human longevity.

best statistics programs

#1

Stanford University

Every student who is interested in statistics needs to take a look at Stanford University. Stanford is a fairly large private not-for-profit university located in the large suburb of Stanford. A Best Schools rank of #3 out of 2,576 colleges nationwide means Stanford is a great university overall.

There were roughly 78 statistics students who graduated with this degree at Stanford in the most recent data year.

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#2

University of Chicago

University of Chicago is a great choice for students interested in a degree in statistics. Located in the large city of Chicago, UChicago is a private not-for-profit university with a fairly large student population. A Best Schools rank of #7 out of 2,576 schools nationwide means UChicago is a great university overall.

There were about 270 statistics students who graduated with this degree at UChicago in the most recent data year. Those statistics students who get their degree from University of Chicago receive $25,900 more than the typical stats graduate.

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#3

Rice University

Rice University is a good option for students interested in a degree in statistics. Rice is a medium-sized private not-for-profit university located in the city of Houston. This university ranks 1st out of 136 colleges for overall quality in the state of Texas.

There were about 62 statistics students who graduated with this degree at Rice in the most recent year we have data available.

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#4

University of Pennsylvania

University of Pennsylvania is a good option for students pursuing a degree in statistics. Located in the large city of Philadelphia, UPenn is a private not-for-profit university with a fairly large student population. A Best Schools rank of #13 out of 2,576 schools nationwide means UPenn is a great university overall.

There were approximately 119 statistics students who graduated with this degree at UPenn in the most recent data year.

Johns Hopkins crest

#5

Johns Hopkins University

Johns Hopkins is a very large private not-for-profit university located in the city of Baltimore. A Best Schools rank of #19 out of 2,576 colleges nationwide means Johns Hopkins is a great university overall.

Ph.D. in Biostatistics | Graduate Programs in Public Health | University of  Miami

There were approximately 28 statistics students who graduated with this degree at Johns Hopkins in the most recent data year.

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#6

Dartmouth College

Dartmouth is a moderately-sized private not-for-profit college located in the remote town of Hanover. A Best Schools rank of #6 out of 2,576 schools nationwide means Dartmouth is a great college overall.

There were about 3 statistics students who graduated with this degree at Dartmouth in the most recent data year.

Duke crest

#7

Duke University

Located in the large city of Durham, Duke is a private not-for-profit university with a large student population. A Best Schools rank of #9 out of 2,576 colleges nationwide means Duke is a great university overall.

There were approximately 89 statistics students who graduated with this degree at Duke in the most recent data year.

If you’re interested in getting your PhD in biostatistics, you need to make sure you have the necessary prerequisites. One way to do this is by taking classes that teach you the math and programming skills required for the program.

Biostatisticians use statistical analyses on data to look at things like disease prevalence or risk factors related to public health. They often work as part of a team that includes doctors, epidemiologists, and other health care professionals.

In order to become a biostatistician, you’ll need a bachelor’s degree in math, statistics, or another relevant field; an advanced degree such as an MBA or master’s degree is also helpful. In addition to these academic requirements, many employers require applicants have at least three years of relevant work experience before being hired into this position.

biostatistics graduate programs prerequisites

Admission to our program is competitive, and applicants are evaluated based on the entire application package. Recently, we received approximately 140 MS applications and 230 PhD applications, and offered admission to approximately 50 MS applicants and 15 PhD applicants. Below are minimum prerequisites for admission and criteria to be considered a competitive applicant.

Requirements for Specific Degree Programs

MS and PhD

Applicants to the MS and PhD program should have a bachelor’s degree or higher. Most students enter with a major in mathematics, statistics, or a biological sciences field; however, we also accept applicants with backgrounds in other fields if the necessary math and statistics prerequisites below are fulfilled. We often have applicants from engineering, psychology, or financial/business backgrounds. Strong applicants will have solid quantitative skills as evidenced by their coursework and GRE quantitative score.

UW Graduate School Minimum Requirements

Important: When you apply to a UW Biostatistics graduate program, you are also formally applying to the University of Washington Graduate School. Although all acceptance decisions are made within the Biostatistics department, the UW Graduate School also has minimum admission requirements for all UW graduate programs.

Pursuing Concurrent Degrees

If you are a UW student interested in pursuing a second/concurrent degree, please consult with your current degree program to determine the feasibility, division and sharing of credits, and timeline for pursuing a concurrent degree. See the UW Graduate School’s policy on concurrent degrees.

Math and Statistics Prerequisites

Our program is mathematically rigorous and a strong quantitative background is essential to succeed in our program.

Minimum Math Requirements

All applicants to the MS and PhD program should have the equivalent of approximately 30 or more quarter credits in mathematics and statistics, which must include:

  • approximately three semesters or four quarters of calculus, which must include multivariate calculus
  • one course in linear algebra
  • one course in probability theory (calculus based)

UW course equivalents that meet these requirements

University of Washington courses which are approximate equivalents to these requirements are:

  • First-year calculus; MATH 124-125-126
  • Advanced calculus: MATH 324
  • Linear algebra: MATH 308
  • Probability: MATH/STAT 394 and/or 395

For descriptions of these courses, please refer to the UW Department of Math course catalog. This information may help you determine whether your background is sufficient to meet our prerequisites.

Applying course credits from other universities

When determining whether a course at another institution is equivalent to the UW courses, we recommend that you also check that the prerequisite for that course is equivalent to the prerequisite for the UW course (e.g., the Probability course should have a Calculus III prerequisite).

How multivariate calculus, accelerated calculus series, and AP courses count toward requirements

  • In general, if you have taken multivariate calculus, you have met the minimum calculus requirement. Accelerated/shorter calculus series are generally not recommended but acceptable if you have taken additional advanced math/statistics courses.
  • If you have taken AP calculus courses, these count towards the requirement.

Additional recommendations for coursework

When planning remaining undergraduate courses, we encourage applicants to complete more mathematics. Students planning to apply to the PhD program should consider coursework in real analysis, though you may take this as part of your graduate study. Most of our successful applicants have taken courses in differential equations, real analysis, number theory, and/or advanced algebra. Additional credits in the biological sciences are also desirable.

Missing prerequisites?

  • Prerequisites may be taken at any accredited higher education institution, including accredited community colleges or online courses from accredited schools that provide grades for the courses. Taking them pass/fail or credit/no credit is not acceptable.
  • The majority of the prerequisite courses should be completed by the time of application. If you are taking any remaining courses in the autumn in which you apply, make sure this is indicated in your transcript or statement of purpose and we will follow up if needed. If you have not taken the majority of prerequisites, it is unlikely you will be considered a competitive applicant. If you plan to complete a remaining course in the spring, you may still apply, but the lack of grades will impact your application. Prerequisites cannot be completed after starting the program.
  • If you are a UW student planning to take MATH/STAT 394 at the University of Washington, the course is usually closed to non-majors. However, this course may have better openings for non-majors during Summer quarter. See the Math department’s website for their registration policies. Because of the potential challenges of enrolling in this course, a possible online alternative is MATH 461 Introduction to Probability Theory offered by the University of Illinois. Applicants are also encouraged to find and take other alternative courses, using the above guidelines for determining equivalency.
  • Due to the large number of local and online institutions that offer math courses, we do not maintain a list of recommended institutions or courses, except the probability course above.

Test Scores and GPA

GRE

  • GRE General Test scores are optional for all applicants to the MS and PhD program, regardless of prior degrees or other background. In the past, most competitive applicants had :
    • Quantitative score in the 90th percentile
    • Analytic score above the 50th percentile
    • Verbal score above the 70th percentile
  • Test scores are valid for five years and must be valid on the date the application is submitted.

TOEFL for International Applicants

  • TOEFL scores are also required for all international applicants, unless:
    • You have a bachelor’s, master’s, or doctoral degree from a regionally accredited institution in the United States or from an institution in Australia, the Bahamas, Canada, Ireland, Jamaica, New Zealand, Singapore, Trinidad and Tobago, or the United Kingdom; OR from an institution from another country that can provide verification that all instruction is in English.
    • You are currently working on such a degree and will earn it prior to enrolling in our program.
  • See details about English proficiency requirements. Questions regarding this requirement may be directed to the UW Graduate School.
  • While our department does not have minimum score requirements, most competitive applicants will have:
    • TOEFL total score ≥ 100
    • TOEFL speaking score ≥ 23
  • Test scores are valid for two years and must be valid on the date the application is submitted.

GPA

While our department does not have minimum GPA requirements besides the 3.0 GPA required by the graduate school, competitive applicants typically have an undergraduate GPA ≥ 3.5, with mostly As in Math/Statistics coursework.

Concerned about low test scores or GPA?

The admissions committee considers all components of the application, including the statement of purpose, recommendation letters, and individual course grades, in addition to the test scores and GPA. You may apply even if you do not meet the above averages for competitive applicants, as a particularly strong performance in one or more areas may sometimes offset a weak performance. However, due to the competitiveness of the program, we generally advise that applicants strengthen their test scores and grades before applying, especially for the quantitative test and courses.

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