Overview
The Data Science, Analytics and Engineering program's educational objective is to develop each student's ability to perform original research in the development and execution of data-driven methods for solving major societal problems.
This includes the ability to identify research needs, adapt existing methods and create new methods as needed. This is accomplished through a rigorous education with research and educational experiences.
Career Opportunities
Graduates at Arizona State University demonstrate proficiency with existing methodology and significant accomplishment at advancing the state of the art in their chosen area, enabling them to pursue careers in advanced research, teaching, business, industry and government.
Programme Structure
Courses include:
- Data Processing at Scale
- Information Assurance and Security
- Data Mining
- Statistical Learning for Data Mining
- Mathematical Statistics
- Theory of Statistics: Inference
Key information
Duration
- Full-time
- 120 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Data Science & Big Data View 26 other PhDs in Data Science & Big Data in United StatesAcademic requirements
English requirements
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 Arizona State University and/or in United States, please visit Student Insurance Portal.
Other requirements
General requirements
- Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in engineering, computer science, mathematics, statistics or a related field from a regionally accredited institution.
- official transcripts
- two letters of recommendation
- letter of intent or written statement
- GRE scores
- proof of English proficiency
Tuition Fee
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International
13482 USD/yearTuition FeeBased on the tuition of 1605 USD per credit during 120 months. -
National
12364 USD/yearTuition FeeBased on the tuition of 1472 USD per credit during 120 months. -
In-State
7534 USD/yearTuition FeeBased on the tuition of 897 USD per credit during 120 months.
Living costs for Tempe
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Data Science, Analytics and Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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