United States · PhD · Reviewed 2026-10-15

Doctor of Philosophy (PhD) in Computer Science (Interpretable AI & Theory)

PhD program led by world-renowned computer scientists, pioneering interpretable and transparent machine learning algorithms, discrete optimization, computational geometry, and quantum algorithms.

Official university details ↗Research checked, not sponsored

Application checklist & requirements

These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.

Academic degree / Prerequisites: Bachelor's or Master's in Computer Science, Math, or Statistics with top academic standing
English language proficiency: IELTS 7.0 or TOEFL iBT 90+
Standardized testing (GRE/GMAT): Not required / not considered
Thesis / Research statement: Proven research capability through preprints, open-source software, or published conference papers
Recommendation letters: Three academic reference letters

How much will it cost? How much funding is available?

Financial support / stipend: $43,500/year living stipend + full tuition waiver ($64,000/year) + comprehensive health insurance
Application fee: $95
Tuition / joining costs: $0 (Fully funded for 5 years)

Dates and verification

Application deadline: December 15, 2026
Last source review: 2026-10-15

Official university details ↗Duke guide ↗Mentorship ↗Ask us — free ↗

Important verification note

Facts reflect official Duke University documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.

Reviewed 2026-10-15 · Editorial standards · Report an issue