Engineers and researchers must be prepared for the next wave of digital disruption, where AI techniques lie at the heart of major advances in computing. Our program seamlessly integrates AI with key disciplines such as software engineering, human-centric design and game engineering, accelerated computing systems, and privacy and security.
This ensures that students are equipped to design and implement cutting-edge solutions.

By combining academic rigor with real-world applications through research and development projects, students gain hands-on experience solving complex problems alongside industry professionals. They collaborate closely with our industrial partners and stakeholders, as well as international teams of researchers and faculty, engaging in technical deep-dives that hone their specialized competencies in the AI engineering field.

With a strong focus on integrative skills, our competency-based curriculum allows students to advance at their own pace. This approach ensures they are well-prepared to lead in the rapidly evolving landscape of AI-driven innovation.

To guide students in their learning journey, we offer suggested study roadmaps in the following areas:

• Software Engineering
• Secured System
• Game Engineering
• Entrepreneurship & Innovation

Artificial Intelligence and Computer Engineering are reshaping the fabric of our world, influencing both our visible surroundings and the hidden mechanisms that drive them. This program is designed to enhance your expertise and position you at the forefront of this transformative field, equipping you to seize the vast opportunities that arise in this era of digital disruption.

The M.S. in AiCE program offers a comprehensive exploration of the core principles of Artificial Intelligence and Computer Engineering. As part of the degree requirements, students will engage in rigorous coursework and participate in graduate research projects.

There are two distinct tracks available for students: the Professional track and the Thesis track, allowing you to tailor your studies according to your career goals and research interests.

The Ph.D. in AiCE offers a research-intensive curriculum that delves deeply into the fundamental principles of Artificial Intelligence and Computer Engineering. Students will not only master advanced technical knowledge but also contribute to the creation and dissemination of new knowledge through independent research.

Students will be able to tailor their studies across key areas, ensuring both depth and breadth in their expertise:
Artificial Intelligence and Computer Engineering are revolutionizing both our tangible world and the invisible systems that govern it. This Ph.D. program is designed to advance your expertise and position you at the cutting edge of these transformative fields, empowering you to drive innovation and capture opportunities in this era of digital disruption.

Artificial Intelligence: Advanced algorithms, machine learning, and AI theory
‍Human-centered Design: Developing technology that interacts seamlessly with users
‍Scalable Systems: Designing systems that handle large-scale, distributed data
‍Cybersecurity: Safeguarding systems and data in an interconnected world

The ECE/Thailand MS program is a collaboration between Carnegie Mellon University and King Mongkut’s Institute of Technology Ladkrabang (KMITL), a leading engineering university in Thailand.
To facilitate the collaboration with CMU, CMKL University has been established in association with KMITL to administer the program for research and education activities in Thailand.

The program includes intensive study in electrical and computer engineering with the opportunity to specialize in data science, security, cyber-physical systems, software engineering, and mobility. Students in the ECE/Thailand MS program will undertake an intensive study of the fundamentals of electrical and computer engineering. During the course of obtaining the MS degree, students will take graduate-level ECE courses and participate in research projects.

Graduates of the program will earn two degrees: one from Carnegie Mellon and one from CMKL.

Admission criteria for the ECE/Thailand MS program are identical to current ECE MS admission standards.

The ECE/Thailand program is a collaboration between Carnegie Mellon University and King Mongkut’s Institute of Technology Ladkrabang (KMITL), a leading engineering university in Thailand. To facilitate the collaboration with CMU, CMKL University has been established in association with KMITL to administer the program for research and education activities in Thailand.

The program includes intensive study in electrical and computer engineering with the opportunity to specialize in data science, security, cyber-physical systems, software engineering, or mobility. Graduates of the program will earn two degrees: one from Carnegie Mellon and one from CMKL. Admissions criteria for the ECE/Thailand PhD program are identical to those for the ECE PhD program.

Students in the ECE/Thailand PhD program will undertake a research-intensive study of the fundamentals of electrical and computer engineering. During the course of obtaining the PhD degree, students will create and disseminate knowledge in their chosen area of study. Courses offered in Thailand will typically be taught by CMKL professors in English. The content, style, and level of each course will be reviewed and approved by the Carnegie Mellon ECE Department.

Graduates of the program will earn two degrees: one from Carnegie Mellon and one from CMKL.

Engineers and researchers must be prepared for the next wave of digital disruption, where AI techniques lie at the heart of major advances in computing. Our program seamlessly integrates AI with key disciplines such as software engineering, human-centric design and game engineering, accelerated computing systems, and privacy and security.
This ensures that students are equipped to design and implement cutting-edge solutions.

By combining academic rigor with real-world applications through research and development projects, students gain hands-on experience solving complex problems alongside industry professionals. They collaborate closely with our industrial partners and stakeholders, as well as international teams of researchers and faculty, engaging in technical deep-dives that hone their specialized competencies in the AI engineering field.

With a strong focus on integrative skills, our competency-based curriculum allows students to advance at their own pace. This approach ensures they are well-prepared to lead in the rapidly evolving landscape of AI-driven innovation.

To guide students in their learning journey, we offer suggested study roadmaps in the following areas:

• Software Engineering
• Secured System
• Game Engineering
• Entrepreneurship & Innovation

Engineers and researchers must be prepared for the next wave of digital disruption, where AI techniques lie at the heart of major advances in computing. Our program seamlessly integrates AI with key disciplines such as software engineering, human-centric design and game engineering, accelerated computing systems, and privacy and security.
This ensures that students are equipped to design and implement cutting-edge solutions.

By combining academic rigor with real-world applications through research and development projects, students gain hands-on experience solving complex problems alongside industry professionals. They collaborate closely with our industrial partners and stakeholders, as well as international teams of researchers and faculty, engaging in technical deep-dives that hone their specialized competencies in the AI engineering field.

With a strong focus on integrative skills, our competency-based curriculum allows students to advance at their own pace. This approach ensures they are well-prepared to lead in the rapidly evolving landscape of AI-driven innovation.

To guide students in their learning journey, we offer suggested study roadmaps in the following areas:

• Software Engineering
• Secured System
• Game Engineering
• Entrepreneurship & Innovation