{"id":5488,"date":"2026-05-08T12:15:41","date_gmt":"2026-05-08T05:15:41","guid":{"rendered":"https:\/\/iit.payap.ac.th\/?page_id=5488"},"modified":"2026-05-08T13:10:19","modified_gmt":"2026-05-08T06:10:19","slug":"m-sc-in-ai-business","status":"publish","type":"page","link":"https:\/\/iit.payap.ac.th\/?page_id=5488","title":{"rendered":"M.Sc. in AI Business"},"content":{"rendered":"

Program Overview<\/strong>
\nIn the Master of Science degree program in AI Business (AIB), students will acquire expertise in both Artificial Intelligence and business, which will help them tackle problems faced by organizations through intelligent solutions. The course is focused on using AI responsibly, thinking critically, and applying knowledge to design and implement strategies for sustainable development and success in one’s career.<\/p>\n

Program Objectives<\/strong>
\nThe program aims to produce graduates who will:<\/p>\n

    \n
  1. Demonstrate knowledge and understanding of foundational AI technologies and business methodologies, and apply them in structured contexts with creativity, precision, and adaptability.<\/li>\n
  2. Critically analyze and evaluate AI systems, business models, and data-driven strategies to identify insights, optimize performance, and support evidence-based decision-making.<\/li>\n
  3. Assess AI and business solutions using ethical reasoning, professional judgment, and awareness of legal, social, and environmental implications to ensure responsible innovation and sustainable impact.<\/li>\n
  4. Design and develop innovative AI-based systems, business strategies, or research projects that contribute to technological advancement, organizational transformation, and sustainable economic growth.<\/li>\n<\/ol>\n

    Academic Calendar<\/strong>
    \nSemester 1: August \u2013 December
    \nSemester 2: January \u2013 May<\/p>\n

    Qualifications of Prospective Students<\/strong><\/p>\n

      \n
    1. Applicants must hold a bachelor\u2019s degree from a domestic or international educational institution accredited by an authorized accrediting agency in that country.<\/li>\n
    2. Applicants must meet the English language proficiency requirements set by the university, faculty, or program<\/li>\n<\/ol>\n

      Curriculum Structure and Course Credits<\/strong><\/p>\n\n\n\n\n\n\n
      1. Major Required Courses:<\/td>\n\u00a018 credits<\/td>\n<\/tr>\n
      2. Major Elective Courses:<\/td>\n\u00a0At least 12 credits<\/td>\n<\/tr>\n
      3. Independent Study Course:<\/td>\n\u00a06 credits<\/td>\n<\/tr>\n
      Total Credits:<\/td>\n\u00a0At least 36 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      List of Courses in the Curriculum<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      1. Major Required Courses<\/strong><\/td>\n18 credits<\/strong><\/td>\n<\/tr>\n
      AIB 660<\/td>\nProgramming for AI and Data Science<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 661<\/td>\nBusiness Data Analysis and Decision-Making<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 662<\/td>\nData Analytics and Visualization<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 670<\/td>\nAI Technologies and Machine Learning Applications<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 680<\/td>\nBusiness Administration<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 790<\/td>\nResearch Methodology<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      2. Major Elective Courses<\/strong><\/td>\nAt least 12 credits <\/strong><\/td>\n<\/tr>\n
      AIB 671<\/td>\nAdvanced AI Techniques and Machine Learning Applications<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 672<\/td>\nAI for Data-Driven Decision Making<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 681<\/td>\nMarketing and Brand Management<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 682<\/td>\nKorean Language and Culture 1<\/td>\n2 (2-0-4)<\/td>\n<\/tr>\n
      AIB 683<\/td>\nKorean Language and Culture 2<\/td>\n2 (2-0-4)<\/td>\n<\/tr>\n
      AIB 763<\/td>\nBig Data Systems and Cloud Analytics<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 774<\/td>\nNatural Language Processing for AI<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 775<\/td>\nVoice and Speech Processing for AI<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 776<\/td>\nComputer Vision and Visual AI<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 777<\/td>\nEmerging AI Trends and Directions<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 778<\/td>\nGenerative AI Applications<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 779<\/td>\nReinforcement Learning for AI<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 784<\/td>\nFinancial Analysis and Investment Strategy<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 785<\/td>\nLeadership and Strategy in AI Businesses<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 786<\/td>\nApplied AI Business Case Studies<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 787<\/td>\nAI-Driven Business Models<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 788<\/td>\nAI Ethics, Governance, and Policy<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 792<\/td>\nAI and IT Innovation Seminar<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 793<\/td>\nSelected Topics in AI Business 1<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 794<\/td>\nSelected Topics in AI Business 2<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      3. Independent Study Course<\/strong><\/td>\n6 credits<\/strong><\/td>\n<\/tr>\n
      AIB 797<\/td>\nINDEPENDENT STUDY<\/td>\n6 (0-0-18)<\/td>\n<\/tr>\n
      Total Credits<\/strong><\/td>\n36 credits<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Study Plan 1 (Single degree option with Independent Study)<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
      Year<\/td>\nSemester 1<\/td>\nSemester 2<\/td>\n<\/tr>\n
      \n

      1<\/p>\n<\/td>\n

      		AIB 660<\/td>\nProgramming for AI and Data Science<\/td>\n3 (3-0-6)<\/td>\nAIB 661<\/td>\nBusiness Data Analysis and Decision-Making<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 670<\/td>\nAI Technologies and Machine Learning Applications<\/td>\n3 (3-0-6)<\/td>\nAIB 662<\/td>\nData Analytics and Visualization<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 680<\/td>\nBusiness Administration<\/td>\n3 (3-0-6)<\/td>\nAIB xxx<\/td>\nMajor Elective 1<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      <\/td>\nTotal<\/td>\n9 credits<\/td>\n<\/td>\nTotal<\/td>\n9 credits<\/td>\n<\/tr>\n
      Year<\/td>\nSemester 1<\/td>\nSemester 2<\/td>\n<\/tr>\n
      \n

      2<\/p>\n<\/td>\n

      		AIB xxx<\/td>\nMajor Elective 2<\/td>\n3 (3-0-6)<\/td>\nAIB xxx<\/td>\nMajor Elective 4<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB xxx<\/td>\nMajor Elective 3<\/td>\n3 (3-0-6)<\/td>\nAIB 797<\/td>\nIndependent Study<\/td>\n6 (0-0-18)<\/td>\n<\/tr>\n
      AIB 790<\/td>\nResearch Methodology<\/td>\n3 (3-0-6)<\/td>\n<\/td>\nComprehensive Exam<\/td>\n<\/td>\n<\/tr>\n
      <\/td>\nTotal<\/td>\n9 credits<\/td>\n<\/td>\nTotal<\/td>\n9 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Study Plan 2 (Dual degree option with Independent Study)<\/strong><\/p>\n

      Study at Payap University<\/p>\n\n\n\n\n\n\n\n\n
      Year<\/td>\nSemester 1<\/td>\nSemester 2<\/td>\n<\/tr>\n
      \n

      1<\/p>\n<\/td>\n

      		AIB 660<\/td>\nProgramming for AI and Data Science<\/td>\n3 (3-0-6)<\/td>\nAIB 661<\/td>\nBusiness Data Analysis and Decision-Making<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 670<\/td>\nAI Technologies and Machine Learning Applications<\/td>\n3 (3-0-6)<\/td>\nAIB 662<\/td>\nData Analytics and Visualization<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB 680<\/td>\nBusiness Administration<\/td>\n3 (3-0-6)<\/td>\nAIB 797<\/td>\nIndependent Study<\/td>\n6 (0-0-18)<\/td>\n<\/tr>\n
      AIB 790<\/td>\nResearch Methodology<\/td>\n3 (3-0-6)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
      <\/td>\nTotal<\/td>\n12 credits<\/td>\n<\/td>\nTotal<\/td>\n12 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Study at Seoul Media Institute of Technology<\/p>\n\n\n\n\n\n\n\n\n
      Year<\/td>\nSemester 1<\/td>\nSemester 2<\/td>\n<\/tr>\n
      \n

      2<\/p>\n<\/td>\n

      		AIB XXX<\/td>\nMajor Elective 1<\/td>\n3 (3-0-6)<\/td>\nAIB XXX<\/td>\nMajor Elective 3<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      AIB XXX<\/td>\nMajor Elective 2<\/td>\n3 (3-0-6)<\/td>\nAIB XXX<\/td>\nMajor Elective 4<\/td>\n3 (3-0-6)<\/td>\n<\/tr>\n
      LAENG 1006<\/td>\nKorean Language and Culture 1*<\/td>\n2 (x-x-x)<\/td>\nLAENG 1007<\/td>\nKorean Language and Culture 2*<\/td>\n2 (x-x-x)<\/td>\n<\/tr>\n
      <\/td>\n<\/td>\n<\/td>\n<\/td>\nComprehensive Exam<\/td>\n<\/td>\n<\/tr>\n
      <\/td>\nTotal<\/td>\n8 credits<\/td>\n<\/td>\nTotal<\/td>\n8 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Note:<\/p>\n

      *Understanding Korean Language and Culture 1 & 2 are 2-credit courses that are required exclusively for students in the AI Business program at the Seoul Media Institute of Technology.<\/p>\n","protected":false},"excerpt":{"rendered":"

      Program Overview In the Master of Science degree program in AI Business (AIB), students will acquire expertise in both Artificial Intelligence and business, which will help them tackle problems faced by organizations through intelligent solutions. The course is focused on… <\/p>\n","protected":false},"author":11,"featured_media":0,"parent":9,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5488","page","type-page","status-publish","hentry"],"yoast_head":"\nM.Sc. in AI Business - Department of Information Technology<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/iit.payap.ac.th\/?page_id=5488\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"M.Sc. in AI Business - Department of Information Technology\" \/>\n<meta property=\"og:description\" content=\"Program Overview In the Master of Science degree program in AI Business (AIB), students will acquire expertise in both Artificial Intelligence and business, which will help them tackle problems faced by organizations through intelligent solutions. 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