Overview
The Statistics and Data Science program from The University of Arizona offers interdisciplinary courses of study leading to the Doctor of Philosophy (Ph.D.) degree in Statistics & Data Science (regular track or statistical informatics track).
Key Features
The GIDP supports and encourages the central role of statistical and quantitative thinking in the biological, physical, engineering, financial, and social sciences. Necessary training is provided for students to develop core expertise in statistical theory and methodology, and also for students who will apply their statistical knowledge in practical, transdisciplinary research; targeted subject-matter specialties include, but are not limited to biometry, bioinformatics, biostatistics, econometrics & financial statistics, educational statistics, operations research & applied probability, psychometrics, spatial/spatio-temporal analysis, statistical genetics/genomics, stochastic modeling, and quantitative risk assessment.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Probability
- Statistics
- Advanced Statistical Regression Analysis
- Design of Experiments
- Statistical Consulting
- Real Analysis
- Analysis
- Probability Math
- Theoretical Statistics
- Statistical Computing
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 60 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before
-
Spring: September 21 - program permission required
Language
Maximise your IELTS score with the British Council! Sign up for free and get access to free mock tests, training videos and webinars with IELTS Ready.
Delivered
Disciplines
Statistics Data Science & Big Data View 31 other PhDs in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Maximise your IELTS score with the British Council! Sign up for free and get access to free mock tests, training videos and webinars with IELTS Ready.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The University of Arizona and/or in United States, please visit Student Insurance Portal.
Other requirements
General requirements
- For admission to the Ph.D. Program in Statistics & Data Science, applicants must have or be in the process of completing an M.S. in Statistics, Biostatistics, Mathematics, or Applied Mathematics, or an advanced degree in a field that makes significant use of quantitative methods, with at least a 3.0 overall grade point average (GPA).
- A student who wishes to apply to the Ph.D. program without an M.S. and with only a Baccalaureate degree may do so, but is required to meet all other M.S. and Ph.D. entrance requirements as stipulated herein.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
34100 USD/yearTuition FeeBased on the tuition of 34100 USD per year during 60 months. -
National
34100 USD/yearTuition FeeBased on the tuition of 34100 USD per year during 60 months. -
In-State
14900 USD/yearTuition FeeBased on the tuition of 14900 USD per year during 60 months.
Living costs for Tucson
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn 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 and Data Science.
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