The Master of Applied Science in Artificial Intelligence (MASc AI) is designed to prepare graduates with advanced knowledge and practical competencies in the development, deployment, and governance of intelligent systems. The programme responds to the accelerating global adoption of Artificial Intelligence and the increasing importance of digital transformation initiatives within the Caribbean region. As industries increasingly leverage AI technologies to improve productivity, decision-making, innovation, and service delivery, there is growing demand for professionals with expertise in machine learning, intelligent systems, and AI-driven solutions.

The programme provides advanced study in areas such as machine learning, deep learning, intelligent and embedded systems, robotics, AI systems integration, data engineering, and AI ethics and governance. Students will develop the technical and analytical skills required to design and implement AI-enabled systems capable of addressing complex real-world challenges across sectors including energy, finance, healthcare, manufacturing, security, and public administration.

With a strong emphasis on applied innovation and regional relevance, the MASc AI equips graduates to contribute to economic diversification, digital resilience, and workforce modernization within the Caribbean. The programme aims to develop professionals who can create AI solutions tailored to regional industries, policy environments, and data ecosystems while supporting responsible and ethical adoption of emerging technologies.

Academic Aims and Objectives

This programme aims to provide practicing professionals with a deep and holistic understanding of AI technologies and their application in real-world scenarios. Globally, the demand for professionals with postgraduate AI related degrees far outweighs the supply assuring the need for the programme.

The academic objectives of this programme are to: 

  1. Integrate theory and practice through project-based learning, case studies and simulations. 
  1. Focus on both the hardware and software aspects of AI implementations 
  1. Foster and discuss ethical practice to address challenges faced by the Caribbean region 
  1. Prepare graduates for professional positions in AI, machine learning, and related fields 

 

Learning Outcomes

Students completing the programme would be able to:

  1. Be well-oriented to navigate the rapidly evolving field of Artificial Intelligence.
  2. Design, implement, and validate systems.
  3. Propose technical solutions involving Artificial Intelligence across different application domains.
  4. Committed to ensuring social, ethical and legal compliance in artificial intelligence systems

 

Entry Requirements

Admission requirements for this programme are as follows:

  • Postgraduate Certificate in Artificial Intelligence
  • A BSc (Hons) in Engineering, Computer Science, the Natural Sciences, Statistics, or a closely related field. A cumulative GPA of 2.5 or higher.
  • Applicants who do not meet the direct entry requirements may be admitted subject to the successful completion of qualifying courses.

 

Delivery

Lectures would be delivered via blended learning modes. Assessments may include:

  • Coursework
  • Midterm and final examinations
  • Case studies
  • Presentations

 

Programme Content and Structure

Students must complete eight (8) core courses and three (3) elective courses.

Core courses:

  • ECNG 6100 Fundamental Mathematics for Artificial Intelligence (3 credits)
  • ECNG 6101 Data Engineering (3 credits)
  • ECNG 6102 Machine Learning Engineering (3 credits)
  • ECNG 6103 Artificial Intelligence: Philosophy, Policy, Societal Impacts and Ethics (3 credits)
  • ECNG 6104 Artificial Intelligence for Commercial Problems (3 credits)
  • ECNG 6107 MASc AI Research Project I (3 credits)
  • ECNG 6108 MASc AI Research Project II (6 credits)
  • ECNG 6617 Artificial Intelligence Systems (3 credits)

Electives:

  • ECNG 6105 Intelligent Systems & Control (3 credits)
  • ECNG 6106 Automated Reasoning and Planning Systems (3 credits)
  • ECNG 6600 Real-time Systems (3 credits)
  • ECNG 6613 Database Systems Principles and Design (3 credits)
  • ECNG 6614 Multiprocessor Systems (3 credits)
  • ECNG 6617 Artificial Intelligence Systems (3 credits)
  • ECNG 6619  Visual Media Processing I (3 credits)
  • ECNG 6700 Stochastic Processes, Detection and Estimation (3 credits)
  • ECNG 6701 Data Communication Networks (3 credits)
  • ECNG 6709 Business Management (3 credits)
  • ECNG 6710 Research Methods (3 credits)

Credits

The MASc in Artificial Intelligence comprises of 36 compulsory credits:

  • Five (5) core courses (18 credits)
  • Three (3) elective courses (9 credits)
  • Research Project  (9 credits)

 

Programme Duration

The MASc Artificial Intelligence programme would be two (2) years full-time or three (3) years part-time

 

Regulations and Assessment

Students should refer to the Manual of Procedure for Graduate Diploma and Degree, the regulations for Graduate Diplomas and Degrees, the Graduate Studies Guide for Students and Supervisors, and the Thesis Guide.
(Click here to visit the Graduate Studies Information Portal)

 

How to Apply: The Postgraduate Application Process

  1. Click here to complete your application online. https://uwi.elluciancrmrecruit.com/Apply/Account/Login?ReturnUrl=%2fApply
  1. Review the list of documents required

Note: Supporting documents (as indicated by ***) must be certified by a Notary Public or Justice of the Peace or Commissioner of Affidavit before uploading to your Application Portal.

DOCUMENTS REQUIRED FROM ALL APPLICANTS:     

  • ***Birth Certificate
  • Curriculum vitae (CV)
  • ***Documents indicating a name change (Marriage Certificate/Legal Affidavit/Deed Poll) if your present name is different from that on the Birth Certificate
  • Two (2) referees’ reports (to be requested through our Application Portal)
  • ***Professional Certificates/Diplomas obtained from institutions other than UWI
  • Official Transcripts (sent directly from granting institution to STA-PGTranscripts@sta.uwi.edu). You are required to notify our Office if the name on your official transcript is different from the name on your application.
    Past UWI Students can submit a student copy of their transcripts 
  • Test of English as a Foreign Language (TOEFL) score of 500 or greater or International English Testing (IELTS) with the overall score of at least 7 with scores of at least 6.5 in reading and listening and scores of at least 7 in writing and speaking (if English is not your first language)
  • Job Letter

 

  1. Pay $90 application fee
    .
  2. Track Your Application
     
  3. Application deadline: July 17th, 2026. 
    Explore the complete breakdown of deadlines, document specs, and step-by-step portals here: Official Application Process Link: UWI Postgraduate Admissions Process

 

 

 

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