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English : Digital Engineering (International Program)


Full Title : Bachelor of Engineering in Digital Engineering 

Abbreviation : B.Eng. (Digital Engineering)


        The Digital Engineering Program(DGE) is the modernized discipline that is strongly aimed to  forge the student to the digital transformation of engineering fields incorporating with the classical engineering  of electrical engineering, mechanical engineering and chemical engineering  with the critical skill sets of digital technologies such as Industrial Internet of Things(IIoT), big data analytics, cloud computing, artificial intelligent(AI) and machine learning with evolutionary algorithms, blockchain, virtual reality(VR), augmented reality(AR), game programming, digital twins, digital manufacturing with robotics and smart automation and smart factory, mechatronics, 3D printing, Intelligent Software, Intelligent Embedded Systems, and Intelligent System Integration  and to advance human-machine interactions. Awareness of unicorn enterprises is also the inevitable strategy relying upon the economic evaluation and innovative business models that this curriculum intends to persistently transplant to the students.  

1. The modernized multidisciplinary curriculum that incorporates digital technology with the classical engineering fields of electrical engineering, computer, mechanical, industrial and material engineering.

2. Encouragement for rapid prototype development from innovative ideas and fundamental knowledge with systematic thinking using Project-Based Learning (PBL) and Japanese’s Monodzukuri (application-based) philosophy.

3. Fundamental skills of textual and visual coding and programming by Python and C programming language, Java script programming language with top-down paradigm and object-oriented paradigm.

4. Encouraging students’ innovative idea and creative integration with digitalized environments in educational activities with hospitality and recreation atmosphere.

5. Problem-based solutions experienced in industries including TNI’s partnerships with on-site training.

6. Opportunities for multinational scholarships and oversea training and employments.

  1. Autonomous and automotive industries.
  2. Embedded system industries.
  3. Energy and battery storage industries.
  4. IoT and IIoT industries, smart factory, warehouse automation, robotic industries, smart manufacturing industries, logistic businesses.
  5. Smart agricultural industries such as smart farming.
  6. Biomedical industries
  7. Computer vision enterprises and Metaverse
  8. Game programming and virtual reality applications.
  9. Data and strategy analysis of banking and business organizations
  10. System Integrator in industrial automation and smart cities
  11. Smart renewable energy businesses
  12. Experts in digital, planning, and big data analysis
  13. Academic researchers on computational matters related to artificial intelligence
  14. Business Owners


1.1 Humanities and Social Sciences 3 Credits

1.2 Science and Mathematics 3 Credits

1.3 Languages 24 Credits

2.1 Core Courses 27 Credits

                  2.2 Major Courses 48 Credits

                  2.3 Practice Courses 

                            (I) Cooperative study 7 Credits

                          (II) Projects and practices 7 Credits

                  2.4 Elective Courses 12 credits

Free Elective Course Minimum 6 Credits

Estimates / Total Tuition Fee 480,800 Baht / 4 Years