Master of Engineering Program in Computer Engineering

Program Name

Master of Engineering Program in Computer Engineering (M.Eng. Computer Engineering)

About the Department

The Department of Computer Engineering at Prince of Songkla University offers graduate programs at both the master’s and doctoral levels. The programs were revised in 2026 to ensure alignment with international academic standards and the rapid advancement of computer technology. The department emphasizes advanced research and interdisciplinary integration across five key academic areas:

Information Engineering
Computer System Design
Embedded Systems and Internet of Things (IoT)
Computer Networks
Computer Control Systems and Intelligent Systems

Vision

The department aims to produce graduates with high-level knowledge and integrity while generating international-quality academic research in computer engineering

Mission

To produce graduate-level alumni who are highly capable, skilled, ethical, and competent in advanced engineering
To create and disseminate research and innovations of international quality
To enhance teaching excellence through active learning and industry-integrated education (Work Integrated Learning)
To promote academic collaboration with external organizations, both public and private, to apply computer knowledge to the industrial sector

Program Educational Objective

Plan 1: Academic Track

Apply knowledge in computer engineering to design, analyze, and develop digital technology and artificial intelligence systems in order to enhance the efficiency of engineering and technological processes, and to meet the needs of the digital industry and modern society.

Conduct research and develop new knowledge or innovations in artificial intelligence, software engineering, and intelligent systems to improve the performance of digital technologies, and to propose new approaches in computer engineering at organizational, regional, and international levels.

Integrate knowledge in computing, engineering, and advanced artificial intelligence to propose new approaches for developing sustainable and socially responsible technologies.

Adhere to professional ethics, with strong moral integrity and responsibility in applying computer engineering and artificial intelligence knowledge for the benefit of society.

Plan 2: Industry Track

Apply knowledge in computer engineering and artificial intelligence in technical practice to effectively solve engineering problems in real-world working environments, and to develop appropriate solutions aligned with organizational and industrial contexts.

Demonstrate skills in analyzing, designing, and developing digital technologies or intelligent systems, considering cost-effectiveness, efficiency, and economic impact to ensure optimal and sustainable use of resources.

Integrate knowledge in computer engineering and artificial intelligence with other disciplines to create innovations and new approaches for problem-solving and technology development that respond to societal needs.

Uphold professional ethics, maintain moral integrity, and work effectively with others while considering the collective benefits of organizations and society.

Program Learning Outcomes (PLOs)

Plan 1: Academic Track

PLO1: Apply knowledge in computer engineering and artificial intelligence engineering to solve problems related to digital technology.
PLO2: Propose new approaches in computer engineering and artificial intelligence engineering through research processes to improve the performance of digital technologies.
PLO3: Utilize academic information in computer engineering and artificial intelligence engineering for continuous learning.
PLO4: Communicate academically with accuracy and clarity.
PLO5: Work collaboratively with others to achieve common objectives.
PLO6: Adhere to professional ethics and demonstrate responsibility toward oneself and society.

Plan 2: Industry Track

PLO1: Apply knowledge in computer engineering and artificial intelligence engineering to improve the performance of digital technologies.
PLO2: Propose approaches in computer engineering and artificial intelligence engineering to enhance the performance of practical applications.
PLO3: Retrieve and utilize academic information in computer engineering and artificial intelligence engineering for continuous learning.
PLO4: Communicate academically with accuracy and clarity.
PLO5: Work collaboratively with others to achieve common objectives.
PLO6: Adhere to professional ethics and demonstrate responsibility toward oneself and society.

Catalog Description

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Study Plans

Plan 1: Academic Track (A1)	36 Credits
Thesis	36 credits
Plan 1: Academic Track (A2)	36 Credits
Core Courses	3 credits
Elective Courses	12 credits
Thesis	21 credits
Plan 2: Industry Track (B)	36 Credits
Core Courses	3 credits
Elective Courses	27 credits
Minor Thesis	6 credits

Thesis advisor specialization

Prof. Dr. Mitchai Chongcheawchamnan (mitchai.c@psu.ac.th)	Microwave Engineering, RF and Wireless Communication Systems, Antenna and Filter Design, High-Frequency Circuit Design, Electromagnetic Compatibility (EMC)
Assoc. Prof. Dr. Pichaya Tandayya (pichaya.t@psu.ac.th)	Parallel and Distributed Computing, Distributed Simulation Systems, Computer Architecture, Assistive Technology (Braille Systems)
Asst. Prof. Dr. Thanate Khaorapapong (kthanate@fivedots.coe.psu.ac.th)	Automatic Control Systems, Control Systems Engineering, Industrial Automation, Embedded Control Systems
Assoc. Prof. Dr. Panyayos Chaikarn (panyayot@fivedots.coe.psu.ac.th)	Digital Signal Processing (DSP), Embedded Systems, Image and Signal Processing, Intelligent Systems
Assoc. Prof. Dr. Sangsuree Vasupongayya (sangsuree.v@psu.ac.th)	Artificial Intelligence, Data Analytics, Interdisciplinary Engineering Systems, Machine Learning Applications
Asst. Prof. Dr. Kritwara Rattanaopas (kritwara.r@psu.ac.th)	Natural Language Processing (NLP), Large Language Models (LLMs), Information Retrieval & FAISS, Knowledge Graphs / Semantic Systems
Asst. Prof. Dr. Nikom Suwanvar (nikom.s@psu.ac.th)	Computer Networks, Network Security, Distributed Systems, IoT Systems
Asst. Prof. Dr. Petcharat Suriyaicha (petcharat@coe.psu.ac.th)	Software Engineering, Data Management Systems, Web and Application Development, Information Systems
Dr. Thanathip Limna (thanathip.l@coe.psu.ac.th)	Cloud Computing, Backend Systems, Distributed Architecture, Software Systems Engineering
Asst. Prof. Dr. Sahapong Somwong (sahapong.s@coe.psu.ac.th)	Artificial Intelligence, Computer Vision, Machine Learning, Pattern Recognition

Thesis topics

A Context-Aware Recommendation System for Building Materials and Construction Business
Performance Enhancement of Edge Detection Using AVX Instructions on Multi-core Architectures
Dynamic Data Prefetching for Matrix-Matrix Multiplication
The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains
A Dynamically Reconfigurable Low-Power Co-Processor
Industrial Production of Ethyl Ester from Crude Palm Oil
Fall Detection in Elderly People Using Center of Mass Variation Analysis
Personal Academic Certificate Hosting and Sharing Control Using Blockchain Technology : a Case Study Computer Engineering Module Certificate, Prince of Songkla University

Student Admissions

Plan A1 (Thesis Only)	4
Plan A2 (Coursework & Thesis)	4
Plan B (Coursework & Independent Study)	4

Graduation Criteria

Master's Plan A1

Must hold a Bachelor’s degree in Bachelor of Engineering in Computer Engineering, Artificial Intelligence, Electrical Engineering, Control Engineering, Communication Engineering, Electronics Engineering, Mechatronics Engineering, Information Engineering, or Computer Science, with a cumulative GPA of not less than 3.00
OR Must hold a Bachelor’s degree in the programs specified in item 1, with a cumulative GPA of not less than 2.75 and have research experience in Computer Engineering, or have published research, or have received national-level awards
OR Must hold a Bachelor’s degree in a closely related field specified in item 1, with a cumulative GPA of not less than 3.00 and at least 1 year of work experience in Computer Engineering Possess other qualifications as deemed appropriate by the Program Administrative Committee
Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Master’s Plan A2

Must hold a Bachelor’s degree in Bachelor of Engineering in Computer Engineering, Artificial Intelligence, Electrical Engineering, Control Engineering, Communication Engineering, Electronics Engineering, Mechatronics Engineering, Information Engineering, or Computer Science, with a cumulative GPA of not less than 2.75
OR Must hold a Bachelor’s degree in the programs specified in item 1, with a cumulative GPA of not less than 2.50 and have work experience related to Computer Engineering, or have published research, or have received national-level awards
OR Must hold a Bachelor’s degree in a closely related field specified in item 1, with a cumulative GPA of not less than 2.50 and at least 1 year of work experience in Computer Engineering Possess other qualifications as deemed appropriate by the Program Administrative Committee
Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Master’s Plan B

Must hold a Bachelor’s degree in Bachelor of Engineering in Computer Engineering, Artificial Intelligence, other Engineering fields, Computer Science, Information Science, or other related fields, with a cumulative GPA of not less than 2.5
Possess other qualifications as deemed appropriate by the Program Administrative Committee
Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Fee and Scholarship

30,000 THB (Thai Student)
60,000 THB (International Student)

Financial supports are available for both Thai and International students. Please contact the program chair for more details.

Program Accreditation

AUN-QA (ASEAN University Network Quality Assurance)

Contact Person

Dr.Kritwara Rattanaopas	Email: kritwara.r@psu.ac.th
Bongkot Prucksapong	Tel. 0-7428-7358 E-mail: bongkot@coe.psu.ac.th

Registration

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More Information

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