Master’s degree · Dedicated AI or machine learning program
MSc in Artificial Intelligence
University of Guyana · Greater Georgetown, Guyana
Currently offered, next intake unconfirmed
- Award
- Master of Science in Artificial Intelligence
- Subject
- Artificial intelligence, Machine learning
- Format
- On campusYear 1 and Year 2 course structure (trimester-based)
- Price
- Not published
About this program
Two-year taught master's covering AI fundamentals, machine learning, responsible AI and advanced algorithms, with electives in NLP, LLMs, computer vision and robotics, ending in a thesis or applied project.
- School and department
- University of GuyanaFaculty of Natural Sciences
- Subject or specialization
- Artificial intelligence, Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Master’s degree
- Exact award
- Master of Science in Artificial Intelligence
- Credential type
- DegreeA degree awarded by a degree-granting institution.
- Academic credit
- Credit-bearing
- Awarding institution
- University of Guyana
- Access and price model
- Access terms not statedThe official page does not state the price model.
Structure and schedule
- Duration
- Year 1 and Year 2 course structure (trimester-based)
- Delivery
- On campusTaught at the listed campus.
- Physical attendance
- Attendance requirement not verified
- Schedule
- Not published
- Required components (internships, residencies, exams, visits)
- Research thesis or applied project (9 credits) in Year 2Shown separately from the teaching duration.
- Teaching location
- Turkeyen Campus
Admissions, prerequisites and intakes
- Programming
- Not stated
- Mathematics
- Not stated
- Prior degree
- Required
- Work experience
- Not stated
BSc in Computer Science or a relevant discipline with a minimum GPA, or alternative routes including relevant work experience with an entry test, or a relevant MSc.
- Academic requirements
- Relevant bachelor's degree or MSc (see entry requirements)
- International applicants
- Not confirmed
- Enrolment restrictions
- A maximum of 20 students per cohort
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
- Core courses in AI fundamentals, machine learning, advanced algorithms and responsible AI; electives include NLP, agents, deep learning for vision, LLMs and robotics.
- Project or capstone
- Research Thesis or Applied Project
Sources and verification
Not published on the program’s source pages: price, schedule, 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)