University of North Carolina at Charlotte · School of Data Science

Data Science, Ph.D.

Awarded degree: Doctor of Philosophy in Data Science

PhDData science degreeCompetitive full funding

Overview

A 74-credit on-campus Ph.D. in Data Science with an advanced standing option; well-qualified full-time students are typically offered tuition, health insurance and a teaching assistantship.

Official program name: Data Science, Ph.D.
Awarded degree: Doctor of Philosophy in Data Science
Source: academics.charlotte.edu · verified October 11, 2026
Degree level: PhD — research doctorate
Program classification: Dedicated data science degreeThe awarded degree or official program title is data science itself.
School: University of North Carolina at Charlotte — School of Data Science
Source: academics.charlotte.edu · verified October 11, 2026
Location: Charlotte, NC
Required credits: 74 credit hours; advanced standing option available
Source: academics.charlotte.edu · verified October 11, 2026
Duration: Not verified
Teaching language: English (not separately stated)

Why this program is listed

Awarded degree is a Ph.D. in Data Science (School of Data Science).

Source: academics.charlotte.edu · verified October 11, 2026

We list data science bachelor's, master's and doctoral degrees — dedicated, joint, and (separately labelled) related degrees with an officially named data science concentration. Eligibility rules

Format and attendance

Delivery, required in-person attendance, class schedule and study intensity are shown separately, each only as the university states it. “Fully online” appears only when official wording supports it.

Academic delivery: On campusClasses meet in person on campus.
Source: academics.charlotte.edu · verified October 11, 2026
Class schedule: Not verified
Study intensity: Not published

Curriculum

Curriculum details: not verified. We publish this only when the institution states it on an official page.

Admissions

Required, optional, waived and not-required items are shown exactly as the university states them. Anything not listed is not verified — not “not required”.

Prior degree: RequiredMaster's degree in data science or related field (undergraduate GPA 3.0, graduate GPA 3.5), or a bachelor's degree with GPA 3.2+ and outstanding credentials
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Minimum GPA: RequiredMinimum 3 — Minimum undergraduate GPA 3.0 and graduate GPA 3.5 (4.00 scale) for master's holders; 3.2 undergraduate GPA for bachelor's-only applicants
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Mathematics prerequisites: RequiredCoursework through multivariable calculus and linear algebra
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Statistics prerequisites: RequiredStatistics coursework covering probability and statistical inference
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Programming prerequisites: RequiredProgramming courses or substantial programming experience
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Statement / essay: RequiredPersonal statement of purpose
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Recommendation letters: Required3 letters — Three letters of recommendation, at least two from faculty
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Résumé / CV: RequiredResume/CV
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Application fee: Required$75 — $75 for U.S. citizens and permanent residents; $85 for international applicants
Source: datasciencephd.charlotte.edu · verified October 11, 2026

Tests

GRE General Test: RequiredAbove the 50th percentile; waivable with a U.S. degree and GPA of 3.0 (undergraduate) or 3.5 (graduate), or a terminal degree; waiver must be approved before applying.
Source: datasciencephd.charlotte.edu · verified October 11, 2026
TOEFL iBT: Required — minimum 83For applicants whose native language is not English (internet-based).
Source: datasciencephd.charlotte.edu · verified October 11, 2026
IELTS Academic: Required — minimum 6.5Alternative to TOEFL.
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Duolingo English Test: Required — minimum 115Alternative to TOEFL.
Source: datasciencephd.charlotte.edu · verified October 11, 2026

We do not publish acceptance rates or estimate admission chances.

Start dates and deadlines

Dates are shown with the term the university printed. A past date is marked passed and is never carried into a new cycle.

Priority deadline
February 1, 2026 · for Fall 2026
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Passed

Tuition and fees

Each amount keeps its student category, academic year and basis. Per-credit, per-term and whole-program figures are not comparable with each other, and tuition is not the full cost of attendance.

Tuition for this program: not verified. We publish this only when the institution states it on an official page.

Funding

Funding policy and awards exactly as the university publishes them. Available assistantships do not establish guaranteed funding; loans must be repaid and are not scholarships. Understanding funding

Funding classification: Competitive full-funding awards

Full funding (tuition and stipend) is available to selected students only. Admission does not guarantee it.

Published stipend: $23,600 (first year (fall and spring))

Funding guarantee: Well-qualified admitted students are typically offered a package covering tuition, health insurance and a TA.
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Stipend: TA stipend of $23,600 for the first year ($11,800 fall, $11,800 spring).
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Years guaranteed: In subsequent years students generally continue with a TA or RA at the same stipend rate.
Source: datasciencephd.charlotte.edu · verified October 11, 2026
Other: Part-time doctoral students are not eligible for an SDS funding package.
Source: datasciencephd.charlotte.edu · verified October 11, 2026

Scholarships, fellowships or assistantships for this program: not verified. We publish this only when the institution states it on an official page.

Accreditation and enrollment restrictions

Two separate questions: is the university institutionally accredited, and does it publish restrictions on who can enroll (for online programs, usually by state of residence)?

Institutional accreditation

Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) — accreditedSource: ope.ed.gov · verified October 10, 2026

Programmatic accreditation

No programmatic accreditation verified for this program. Institutional accreditation does not imply it.

Published enrollment restrictions (state authorization)

None recorded for this program.

International applicants

Not verified for this program.

Sources and verification

Every fact on this page comes from the official pages below. Last verified October 11, 2026.

academics.charlotte.edu/program/data-science-ph-d-on-campus/ — Official program page, verified October 11, 2026
datasciencephd.charlotte.edu/admissions/application-requirements/ — Official admissions page, verified October 11, 2026
datasciencephd.charlotte.edu/sds-funding/ — Official program page, verified October 11, 2026
DAPIP — SACSCOC institutional accreditation record (data files downloaded 2026-10-10) — U.S. Department of Education dataset (IPEDS / DAPIP), verified October 10, 2026

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Data Science Degrees is independent and not affiliated with University of North Carolina at Charlotte. Information is collected from official pages and can change; confirm requirements, costs and deadlines with the university.