CURRICULUM NAME

NAME OF  DEGREE

OBJECTIVES

The Digital Engineering Program (DGE) will impart Digital Engineers with the critical skills needed in the following areas: Economics, Engineering, Novel Business Model, Digital Engineering and Artificial Intelligence. The program will prepare Digital Engineers for Industry 4.0, equipped with the ability to design, fabricate, assemble, install and integrate computer hardware, software and control systems. They will be provided with the “Digital Literacy” skills needed to apply engineering technology to improve automation systems and IoT; covering 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 who graduates from the DGE Program are equipped with the requisite skills desired by companies involved in Cloud Computing, Big Data, Mobile Application and Business Intelligence Solutions. 

PROGRAM HIGHLIGHTS

1. This is the first Multidisciplinary curriculum that incorporates Electrical, Communication, Computer, AI, and Emerging Technology studies.
2. Engineering education and training aimed for the future; from basic knowledge, applications, prototyping or developing products, inside and outside the classroom, to creating innovations using Project-Based Learning (PBL) and Japanese Monodzukuri philosophy.
3. Adaptive techniques in teaching and practical experience on design, fabrication, assembly, installation and integration computer hardware, software and control system, all offered within a comfortable learning environment.
4. Learning to solve real-life research problems, which are found from industry and TNI partners, through Co-operative and Training at the workplace.
5. Develop excellent 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 Owner.