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CIP 30.7001 · AWARD LEVEL 18 · UNITED STATES

Data Science: professional practice doctorate records.

0 US institutions have connected positive first-major awards in this exact field and award level. Each institution appears once, with its latest connected positive award observation for this selection.

Research this field and level

Official classification: Data Science, General.

A program that focuses on the analysis of large scale data sources from the interdisciplinary perspectives of applied statistics, computer science, data storage, data representation, data modeling, mathematics, and statistics. Includes instruction in computer algorithms, computer programming, data management, data mining, information policy, information retrieval, mathematical modeling, quantitative analysis, statistics, trend spotting, and visual analytics.

Compare statistics, mathematics, computing and domain preparation on the current course list. Other data-focused qualifications can use separate statistics, computing or interdisciplinary classifications.

This selection is the source professional practice doctorate category, award level 18. It stays separate from research doctorates and other doctorate awards. Verify the exact qualification, current applicant route and recognition in the intended jurisdiction; the award category does not establish eligibility for professional practice.

Source: connected NCES IPEDS first-major completion records, exact CIP 30.7001, award level 18. This list does not rank institutions or measure admissions capacity.

Latest connected institution observations

No positive award observations match this selection.

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Year endingReporting institutionsPositive first-major awards

Each annual row is a separate observation, not a current entering class or unique-person count. The year ending 2025 covers July 2024–June 2025. Institutions can appear in several years.

Other connected award levels in Data Science

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Postbaccalaureate certificate records →

Post-master certificate records →

Research doctorate records →

These lists are separate historical populations. They do not establish progression pathways between awards.

All connected levels and related fields → · Compare institutions →