{"id":10,"date":"2026-05-11T02:35:57","date_gmt":"2026-05-11T02:35:57","guid":{"rendered":"https:\/\/aib.payap.ac.th\/?page_id=10"},"modified":"2026-05-11T02:43:13","modified_gmt":"2026-05-11T02:43:13","slug":"academic-programs","status":"publish","type":"page","link":"https:\/\/aib.payap.ac.th\/?page_id=10","title":{"rendered":"Academic Programs"},"content":{"rendered":"

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
1<\/td>\nAIB 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
2<\/td>\nAIB 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
1<\/td>\nAIB 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
2<\/td>\nAIB 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":"

Curriculum Structure and Course Credits 1. Major Required Courses: \u00a018 credits 2. Major Elective Courses: \u00a0At least 12 credits 3. Independent Study Course: \u00a06 credits Total Credits: \u00a0At least 36 credits List of Courses in the Curriculum 1. Major Required… <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10"}],"version-history":[{"count":2,"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":26,"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions\/26"}],"wp:attachment":[{"href":"https:\/\/aib.payap.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}