United States · Degree · Reviewed 2026-10-16

Ph.D. in Computer Science - Machine Learning & Autonomous Systems

Cutting-edge doctoral research spanning deep neural network architectures, neuromorphic computing, computer vision, human-robot interaction, and distributed cloud systems.

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: BS or MS in computer science or related discipline with 3.4+ GPA
English language proficiency: TOEFL 85+ or IELTS 6.5
Standardized testing (GRE/GMAT): GRE scores strongly recommended
Thesis / Research statement: Research proposal and statement of purpose
Recommendation letters: Three academic recommendations

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

Financial support / stipend: Graduate Assistantships with full tuition remission, $34,000 annual stipend, and medical insurance
Application fee: $90
Tuition / joining costs: Covered by assistantship

Dates and verification

Application deadline: January 15, 2027
Last source review: 2026-10-16

Official university details ↗Texas A&M guide ↗Mentorship ↗Ask us — free ↗

Important verification note

Facts reflect official Texas A&M University documentation reviewed 2026-10-16. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.

Reviewed 2026-10-16 · Editorial standards · Report an issue