CURRICULUM NAME

NAME OF  DEGREE

OBJECTIVES

               The Digital Engineering program (DGE) will impart Digital Engineers students with the critical skills needed in the following areas: Economics, Engineering, Novel Business Model, Digital Engineering, and Artificial Intelligence. The program will prepare the students for Industry 4.0 and equip them with the ability to design, fabricate, assemble, install, and integrate computer hardware, software, and control systems. They will acquire “Digital Literacy” skills needed to apply engineering technology to improve automation systems and IoT and study about Intelligent Software, Intelligent Embedded Systems, and Intelligent System Integration, including for first stage and emerging S-curve industries and enterprises.

               TNI is confident that Digital Engineers graduates will have the requisite skills desired by companies involved in Cloud Computing, Big Data, Mobile Application, and Business Intelligence Solutions. 

PROGRAM HIGHLIGHTS

1. The first multidisciplinary curriculum that incorporates electrical, communication, computer, AI, and emerging technology studies
2. Education in the field engineering and training aimed for the future; from basic knowledge, applications, and products prototype or development to innovation creation using Project-Based Learning (PBL) and Japanese Monodzukuri philosophy
3. Adaptive techniques in teaching and practical experience in design, fabrication, assembly, installation and integration computer hardware, and software and control system, all offered within a comfortable learning environment
4. Learning to solve real-life research problems found in industry and TNI partners through practical training at the workplace
5. Communication skills in English, Japanese, Thai languages and IoT
6. Opportunities for scholarships

POST-GRADUATION CAREER OPPORTUNITIES

1. Engineers capable of working in the field of IoT and Embedded system
2. Artificial Intelligence (AI) engineers in various industries or intelligent businesses
3. Engineers and AI programmers for national and international enterprises
4. System Integrator Engineers
5. Experts in digital, planning, and big data analysis
6. Academic researchers on computational matters related to artificial intelligence
7. Business Owners