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. These programs were revised in 2021 to ensure international academic quality and alignment with the rapid development of computer technology. The department emphasizes advanced research and the integration of expertise across five key academic groups:

• 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

1. To produce a Master of Engineering in Computer Engineering who has the knowledge and ability to self-learn, know how to analyze and apply expertly, and be an academic leader who can produce quality research for the benefit of industrial and technological development, medicine, and public health. Agricultural industry, especially rubber and oil palm, seafood processing industry in the tourism industry in the southern region of Thailand.
2. To apply knowledge in computer engineering. It will be used in other academic fields that will be practically useful.
3. To establish cooperation with academics from other educational institutions or other agencies, both public and private, in the application of computer knowledge to the industrial sector. Commercial production is possible.

Program Learning Outcomes (PLOs)

Graduates of the Master’s Program will have attained the following outcomes:

• PLO1: Apply knowledge in Computer Engineering to solve problems in the industrial, agricultural, and medical sectors in Southern Thailand
• PLO2: Integrate knowledge and techniques from various branches of Computer Engineering appropriately for work in the industrial, agricultural, and medical sectors
• PLO3: Demonstrate the ability to communicate and coordinate with colleagues to ensure work is accurate and completed within the specified timeframe
• PLO4: Demonstrate skills in using technology for continuous self-improvement and knowledge seeking
• PLO5: Demonstrate professional ethics in computer engineering and take responsibility for one's actions toward society

Catalog Description

You can check up for detail here

Study Plans (Tracks)

The program offers three study plans to suit different goals:

• Plan A1 (Thesis Only): Focuses entirely on high-level research (36 credits)
• Plan A2 (Coursework & Thesis): Combines advanced subjects with research (15 credits coursework + 21 credits thesis)
• Plan B (Coursework & Independent Study): Designed for professionals focusing on practical application (30 credits coursework + 6 credits minor thesis)

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

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

Student Admissions

The programs admit both Thai and international students. Applicants can choose between standard institutional tracks or a Dual Degree Program in collaboration with Kanazawa University, Japan, where students may receive degrees from both institutions.

• Master’s Admission: Available for Plan A1 (Thesis only), Plan A2 (Coursework and Thesis), and Plan B (Coursework and Independent Study)

Master’s Degree Admission Criteria

Master's Plan A1

1. 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
2. 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
3. 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
4. Possess other qualifications as deemed appropriate by the Program Administrative Committee
5. Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Master’s Plan A2

1. 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
2. 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
3. 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
4. Possess other qualifications as deemed appropriate by the Program Administrative Committee
5. Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Master’s Plan B

1. 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
2. Possess other qualifications as deemed appropriate by the Program Administrative Committee
3. Other qualifications must comply with Prince of Songkla University Regulations on Graduate Education

Special Collaborations

The program offers a Double Degree Program in collaboration with Kanazawa University, Japan, allowing students the opportunity to earn degrees from both institutions

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

You can online register here

More Information

You can check up for more detail here