PROGRAM

M.S. in AiCE Degree Requirements


Overview

The Master of Science in Artificial Intelligence & Computer Engineering is a 96-unit program that provides students with a strong foundation of knowledge in AI and computer engineering that can be put to immediate use. The degree equips students with the expertise to pursue new frontiers in AI, Computer Engineering, and Innovation. Through our program, students develop their adroitness and gain insight and correlations that are crucial to facing critical challenges and applying the principles of AI across various industries. 
There are two tracks, Professional tracks and Thesis tracks available for students to choose either one to pursue

A. Coursework (84 units) may be taken from:
AiCE (CMKL 41-XXX)
ECE (CMKL 18-XXX)
 *Includes Research and Development (CMKL 41-910)

B. Research and Innovation (12 units):
Research, Entrepreneurship & Innovation (CMKL 41-900). Engage in real-world, collaborative projects with university and industry partners to develop leadership and problem-solving capabilities.

Course work

84 units

Research and Innovation

12 units

Suited for students aiming to pursue academic careers or advanced research roles.

Course work

36 units

Research and Innovation

60 units

Thesis Defense

-

A. Coursework (36 units)
Courses may be taken from:

*Includes Research and Development (CMKL 41-910)
 *Up to 12 units may be substituted with advanced undergraduate courses (3rd or 4th year)

B. Research and Innovation (60 units):

C. Thesis Defense:
 Students must:

Designed for aspiring entrepreneurs focused on launching technology-driven ventures.

Course work

36 units

Entrepreneurship and Capstone Project

60 units

Venture Adventure

-

A. Coursework (36 units):
Courses may be taken from:

  • AiCE (CMKL 41-XXX) — excluding CMKL 41-910

  • ECE (CMKL 18-XXX)

 *Up to 12 units may be substituted with advanced undergraduate courses (3rd or 4th year)ith advanced undergraduate courses (3rd or 4th year)

B. Entrepreneurship and Capstone Project (60 units):

  • Business Analytics (CMKL 41-901): 12 units

  • Capstone Project (CMKL 41-920): 48 units
     Students will develop, test, and validate a Minimum Viable Product (MVP) in collaboration with industry, academic, and startup mentors.

C. Venture Assessment:
Graduation requires:

  • Submission of documentation and pitch to aice@cmkl.ac.th

  • Presentation of a viable MVP to the Startup Studio Panel

  • Completion of any required revisions before the semester ends

  • MVP pitch sessions are open for university-wide observation

Questions?

If you have any questions, do not hesitate to contact us.

By inquiry form
General program inquiry form