PhD in Data Science in Charlottesville United States | University of Virginia

University of Virginia | Charlottesville United States
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Qualification
Doctor of Philosophy
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 29,504
Attendance
Full-time
Full-time Duration
36 months

The University of Virginia's School of Data Science prepares future leaders in the field through its comprehensive Ph.D. program. This rigorous curriculum equips students with both theoretical foundations and practical expertise needed for groundbreaking research in data science methodologies. The program emphasizes extracting meaningful insights from intricate datasets while fostering cross-disciplinary partnerships through hands-on application. Candidates will gain mastery over computational principles, mathematical frameworks, and essential skills in areas ranging from data systems architecture to ethical considerations in data usage. Working alongside faculty mentors, doctoral researchers engage in cutting-edge investigations within a cooperative academic setting that frequently applies data science approaches to scientific breakthroughs. Through teaching assistantships in both undergraduate and master's level courses, participants refine their instructional abilities while strengthening analytical reasoning and presentation techniques.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 7.0

Qualification Requirements

Transcripts
Applicants must upload unofficial transcripts of their entire post-secondary academic record to the online application, including all undergraduate- and graduate-level coursework.
Unofficial transcripts are sufficient for the application process if you earned an undergraduate degree from an institution (or institutions) in which English is the primary language. Official undergraduate transcripts are required only after acceptance of an offer from the program.
If you earned an undergraduate degree from an institution (or institutions) in which English is not the primary language of instruction, a course-by-course credential evaluation is required to help us better understand your educational background and capabilities. IEE and SpanTran are NACES-member companies that have created custom applications for the School of Data Science at a discounted rate. We accept transcript evaluations from all NACES-member evaluators.

Letters of Recommendation
Two letters of recommendation are required as part of the online application. It is preferable (but not required) for at least one letter to be from an individual with substantial knowledge of your academic accomplishments. Once you have saved the contact information for a reference, the individual will receive email instructions to submit a letter of recommendation on your behalf.

Resume
A r'sum or curriculum vitae helps us get to know an applicant beyond their formal academic coursework. There is no preference for students with or without professional work experience.

The minimum TOEFL (iBT) score requirement is 100 (including minimum section scores of 22 in speaking, 22 in writing, 23 in reading and 23 in listening). TOEFL scores should be sent via ETS to institution code B875 (no department code needed).
The minimum IELTS score requirement is 7.0 (including minimum section scores of 6.5). IELTS scores should be submitted electronically by the IELTS test center. Paper copies will not be accepted, no institution code or department code is needed.

Tuition USD 29,504

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