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PhD or research doctorate · Dedicated AI or machine learning program

Doctorado en Inteligencia Artificial y Aprendizaje Automático

Doctorate in Artificial Intelligence and Machine Learning

Universidad Autónoma de Santo Domingo · Santo Domingo, Dominican Republic

Currently offered, next intake unconfirmed

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Doctor en Inteligencia Artificial y Aprendizaje Automático
Subject
Artificial intelligence, Machine learningCohort-based
Format
Hybridtres años
Price
Not published

About this program

Three-year doctorate in AI and machine learning with research lines such as deep learning, generative AI and language models, and neural networks. Blended delivery with a doctoral thesis.

School and department
Universidad Autónoma de Santo DomingoEscuela de Informática, Facultad de Ciencias
Subject or specialization
Artificial intelligence, Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
Teaching language
Spanish

Qualification and recognition

Qualification
PhD or research doctorate
Exact award
Doctor en Inteligencia Artificial y Aprendizaje Automático
Credential type
DegreeA degree awarded by a degree-granting institution.
Academic credit
Credit status not stated
Awarding institution
Universidad Autónoma de Santo Domingo
Access and price model
Access terms not statedThe official page does not state the price model.

Structure and schedule

Duration
tres años
Delivery
HybridPart online and part in person. A hybrid program is never described as fully online; required campus time is shown.
Physical attendance
Regular physical attendanceRequired in-person time: Core subjects are taught online; specific subjects are taught in person.
Live or recorded
Live and asynchronous
Schedule
Cohort-basedCohort 2025-2028
Required components (internships, residencies, exams, visits)
Doctoral thesis (40 credits) and scientific article writingShown separately from the teaching duration.
Credits
60 creditsCredit systems differ between countries and institutions.
Teaching location
Santo Domingo

Source could not be re-checked automatically.

Admissions, prerequisites and intakes

Programming
Required
Mathematics
Required
Prior degree
Required
Work experience
Not stated

Applicants need a first degree and a relevant master's; the brochure expects advanced mathematics, programming (Python, R, C++, Java), databases and statistics.

Stated audience: Researchers. Audience tags are recorded only where the official page says who the program is for. Missing entry requirements never mean “beginner friendly”.

Academic requirements
University degree and relevant master's degree, legalised by MESCyT
International applicants
Not confirmed

Source could not be re-checked automatically.

Fees

Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.

Tuition is not published on the pages we checked. That does not mean the program is free: ask the institution for current fees, equipment costs and any deposit or refund terms.

Curriculum, assessment and projects

As published by the provider. None of this guarantees employment, admission or professional certification.

Curriculum
Research-line subjects include deep learning, decision support and semantic web, blockchain and AI, learning technologies, classification algorithms, generative AI and NLP, and artificial neural networks.
Project or capstone
Doctoral thesis.

Sources and verification

Not published on the program’s source pages: price, dated intake or deadline.

Sources and how this was checked

Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.

Sources (checked 1 November 2026)

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