Overview
About the program
Graduate students at the University of Pittsburgh can work towards earning a PhD in Statistics by enrolling in our Doctor of Philosophy in Statistics degree program.
The department also provides courses for students engaged in graduate studies in other disciplines that require statistics and for individuals requiring specialized statistical skills in the workplace.
Programme Structure
Courses include:
- Applied Statistical Methods
- Categorical Data Analysis
- Advanced Applied Multivariate Analysis
- Advanced Applied Regression
- Sampling Theory
- Statistical Process Control
- Principles of Data Science
- Life Testing / Survival Analysis
- Data Mining
- Principles of Statistical Consulting
Key information
Duration
- Full-time
- 60 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
- PhD requirements must be completed within 8 years if entering with a master's degree (10 years otherwise)
- 72 credit hours beyond the bachelor's degree
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Statistics View 86 other PhDs in Statistics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Application and fee
- Upload unofficial copies of your undergraduate transcripts and when applicable, graduate transcripts, with your online application.
- Personal Statement
- Three forms/letters of recommendation
- GRE Scores: recommended but not mandatory for application to our PhD program
Tuition Fees
-
International Applies to you
Applies to youNon-residents47378 USD / year≈ 47378 USD / year - Out-of-State47378 USD / year≈ 47378 USD / year
-
Domestic
Applies to youIn-State26876 USD / year≈ 26876 USD / year
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Statistics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility