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Professional Master’s Programme in Data Science and AI Applications (AIT-UNITAR PMDS)

A Joint Collaboration between Asian Institute of Technology (AIT) & United Nations Institute for Training and Research (UNITAR)

About the Program

  • An internationally accredited Professional Master’s degree from AIT, in collaboration with UNITAR.
  • Designed to equip students with advanced knowledge and skills in data science and AI applications.
  • Offers a unique blend of theoretical foundations and practical applications, preparing graduates to tackle complex global challenges using data-driven solutions.
  • Adopts a hybrid mode of instruction, combining physical class sessions at the AIT campus in Thailand with online sessions.

Program Structure

Official Degree Title: Master of Science (Professional) in Data Science and Artificial Intelligence Applications

Total Credits: 30 credits

Duration: 12 months (minimum)

Curriculum Structure

Technical Required Courses (12 credits):

  • Computer Programming for Data Science
  • Data Modeling and Data Management
  • Fundamentals of Machine Learning
  • Data Analytics for Business Intelligence

Selected Topics / Elective Courses on Technology Ethics and Governance (12 credits):

  • Data Privacy, Security, and Governance 
  • Selected Topic: AI Regulation and Governance 
  • Selected Topic: Techplomacy, Ethics, And Conflicts in Artificial Intelligence 
  • Selected Topic: Strategic Cybersecurity Governance

Master’s Project (6 credits)

Eligibility Requirements:

  • Hold a Bachelor’s degree (normally from a four-year program), or its equivalent from an accredited institution in relevant areas with a minimum cumulative grade point average of 2.75 (4.0 scale);
  • English Proficiency Requirement:
    • AIT-EET: 6; 
    • IELTS Academic: overall 6 (writing 6); 
    • TOEFL iBT: overall 80 (writing 21-23); 
    • PTE Academic: overall 52 (writing 62-73);
  • Minimum of 3 years of work experience in relevant areas.

Program Schedule 2025-2026

Semester 1: January-May

Inter-semester: June-July

Semester 2: August-December