Application Schedule

Detail Date
Admission online 1 Jul - 30 Nov 2019  1 Jul - 24 Nov 2019
Announcement of applicants qualified for the interview 4 Dec 2019  24 Nov 2019
Interview Day 13 Dec 2019  4 Dec 2019
Announcement of students eligible for registration 16 Dec 2019  6 Dec 2019

( Students with first enrollment from 2019 (ID 62 onwards )

 

Graduate Degree

Curricular Title:
Master of Science Program in Computing (International Program)

Degree Title:

Master of Science (Computing)

Abbreviation:

M.Sc. (Computing)

Philosophy: Teaching and producing basic research, or problem-oriented research and application, including the use of industrial and social problems as a basis for learning (Problem-based Learning) to develop technologies, body of knowledge and computer innovation for the benefits of social and economic development.

Goals:

1) To develop knowledgeable and professional graduates in the fields of Data Science and Artificial Intelligence, Software Engineering and Media, and Computer Systems and Communication. The goal is that graduates can apply the body of knowledge to the career at an effective level.

2) To produce graduates with the ability to study, research and develop new science, which will bring benefits for oneself and society.

3) To develop each graduate as a valuable human resource who can respond to the country’s development policies while exhibiting integrity and ethics.

Teaching Time:

Monday – Friday (normal office hours)

Career Examples:

1) Software Engineer

2) Computer Technical Officer

3) System, Software, and Application Designer and Developer

4) Information Systems Manager

5) Plan and Policy Officer

6) Computer Graphics and Multimedia Designer

7) Computer Network Administrator

8) Data Scientist

9) Professor

10) Internet of Things and Embedded System Engineer

11) Data Engineer

Requirements for Plan A1:
Students applying for graduate study in the program must meet the following requirements:

  1. Complete the bachelor of science in computing or other related bachelor degrees (for example, Computer Science, Computer Engineering, Information technology, Software Engineering) with at least 3.25/4.0 overall GPA OR
  2. Complete the bachelor degree in the fields as described in Requirement 1 with at least 2.75/4.0 overall GPA AND have the research experience related to the computing fields or have a publication (journal or proceeding) or have a national academic award OR
  3. Complete the bachelor degree in the fields as described in Requirement 1 with at least 3.00/4.0 overall GPA AND or have at least 2 years work experience in computing fields AND
  4. Students must pass an English proficiency exam as determined by the Graduate School. Test results cannot be older than 2 years, counting from the commencement of studies at Prince of Songkla University. However, the program committee may request the applicant to pass an English proficiency exam within 1 year from commencement of studies.
  5. In addition to the requirements listed above, the consideration will be based on the program committee and Prince of Songkla University Regulations for Graduate Studies.

 

Requirements for Plan A2:
Students applying for graduate study in the program must meet the following requirements:

  1. Complete the bachelor degree (earned at least 36 credits of course work related to the computing subjects) with at least 2.75/4.0 overall GPA OR
  2. Complete the bachelor degree with at least 2.50/4.0 overall GPA AND have the research experience related to the computing fields or have a publication (journal or proceeding) or have a national award or have at least 2 years work experience in computing fields OR
  3. Complete the bachelor degree (earned at least 36 credits of course work related to the computing subjects) AND have the research experience related to the computing fields or have a publication (journal or proceeding) or have a national award or have at least 2 years work experience in computing fields AND
  4. Students must pass an English proficiency exam as determined by the Graduate School. Test results cannot be older than 2 years, counting from the commencement of studies at Prince of Songkla University. However, the program committee may request the applicant to pass an English proficiency exam within 1 year from commencement of studies.
  5. In addition to the requirements listed above, the consideration will be based on the program committee and Prince of Songkla University Regulations for Graduate Studies.

Other requirements shall comply with Prince of Songkla University Regulations for Graduate Studies BE 2556. (https://grad.psu.ac.th/en/current-student/regulations.html)



Application Documents

  1. Graduate School Application Form
  2. A copy of official Bachelor's Degree transcript
  3. A copy of official Bachelor's Degree diploma
  4. Two letters of recommendation from the academic lecturers
  5. Research paper or publication (for applicants with research experience or publication)
  6. A letter of work experience from the employer (for applicants with at least 2 years work experience)
  7. A copy of one of the following certificates of English proficiency: TOEFL, IELTS, TOEIC, CU-TEP, TU-GET, PSU-TEP
  8. One to two pages of a statement of purpose
  9. A copy of passport

Apply 
The applicant must apply via the application online system at http://www.grad.psu.ac.th/admission/

More Information 
E-mail: grad.ict@phuket.psu.ac.th or Tel. +66 76 27-6119-20 Fax. +66 76 27-6102

Fanpage: MSIT Program, PSU Phuket, Thailand

Feedback Form

Curriculum Structure (Plan A1 and Plan A2)


Plan A1

 

36

Credits

- Thesis

36

Credits

Plan A2

 

36

Credits

- Compulsory Course

6

Credits

- Elective Course

6

Credits

- Thesis

24

Credits

 

1. Compulsory Course for Plan A2   


969-601

Research Methodology in Computing

3(3-0-6)

969-602

Advanced Statistics for Computing

3(3-0-6)

969-603

Seminar *

1(0-2-1)

* = Audit Subject

 

2. Elective Course for Plan A2   
2.1 Data Science and Artificial Intelligence


969-610

Data Mining

3(3-0-6)

969-611

Natural Language Processing

3(3-0-6)

969-612

Computer Vision

3(3-0-6)

969-613

Text Analytics and Its Applications

3(3-0-6)

969-614

Artificial Intelligence

3(3-0-6)

969-615

Neural Networks

3(3-0-6)

969-616

Big Data Analytics and Applications

3(3-0-6)

969-617

Advanced Database Management System

3(3-0-6)

969-618

Financial Technology

3(3-0-6)

969-619

Information Technology for Business

3(3-0-6)

 

2.2 Software Engineering and Media


969-620

Software Maintenance and Evolution

3(3-0-6)

969-621

Architectural Thinking

3(3-0-6)

969-622

Software Verification and Validation

3(3-0-6)

969-623

Formal Method Engineering

3(3-0-6)

969-624

Advanced Empirical Software Engineering

3(3-0-6)

969-625

Advanced Web Technologies

3(3-0-6)

969-626

Reality Technology

3(3-0-6)

969-627

Image Processing

3(3-0-6)

969-628

Human-Computer Interaction

3(3-0-6)

 

2.3 Computer Systems and Communication



969-630

Mobile and Wireless Networks

3(3-0-6)

969-631

Advanced Data Communication and Computer Networking

3(3-0-6)

969-632

Advanced Cloud Computing

3(3-0-6)

969-633

Computer Network Security

3(3-0-6)

969-634

Distributed Computing Systems

3(3-0-6)

 

2.4 Others


969-640

Special Topics in Computing I

3(3-0-6)

969-641

Special Topics in Computing II

3(3-0-6)

Academic Year (Plan A1):
Academic Year 1 – 1st Semester


969-603

Seminar *

1(0-2-1)

969-801

Thesis

9(0-27-0)

Total

9(0-29-1)

 

Academic Year 1 – 2nd Semester


969-603

Seminar *

1(0-2-1)

969-801

Thesis

9(0-27-0)

Total

9(0-29-1)

 

Academic Year 2 – 1st Semester


969-603

Seminar *

1(0-2-1)

969-801

Thesis

9(0-27-0)

Total

9(0-29-1)

 

Academic Year 2 – 2nd Semester


969-603

Seminar *

1(0-2-1)

969-801

Thesis

9(0-27-0)

Total

9(0-29-1)

* = Audit Subject

 

 

Academic Year (Plan A2):
Academic Year 1 – 1st Semester


969-601

Research Methodology in Computing

3(3-0-6)

969-602

Advanced Statistics for Computing

3(3-0-6)

969-603

Seminar *

1(0-2-1)

969-802

Thesis

3(0-9-0)

Total

9(6-11-13)

 

Academic Year 1 – 2nd Semester


969-xxx

Elective Course I

3(3-0-6)

969-xxx

Elective Course II

3(3-0-6)

969-603

Seminar *

1(0-2-1)

969-802

Thesis

3(0-9-0)

Total

9(6-11-13)

 

Academic Year 2 – 1st Semester


969-603

Seminar *

1(0-2-1)

969-802

Thesis

9(0-27-0)

Total

9(0-29-1)

 

Academic Year 2 – 2nd Semester


969-603

Seminar *

1(0-2-1)

969-802

Thesis

9(0-27-0)

Total

9(0-29-1)

* = Audit Subject

Software Engineering Topics include, but are not limited to, the following.
  1. Agile Software Development
  2. Software Architecture and Design
  3. Empirical Software Engineering
  4. Software Process Improvement
  5. Software Maintenance
  6. Formal Engineering
  7. Formal Modeling and Specification)
  8. Software Verification and Validation
  9. Model-based Testing

 

Digital Media Topics include, but are not limited to, the following.
  1. Serious Games
  2. Interactive Media
  3. Physics-based Animation
  4. Human-Computer Interaction
  5. Mobile Application
  6. Architectural Visualization
  7. Augmented and Virtual Reality

 

Artificial Intelligence Topics include, but are not limited to, the following.
  1. Computer Vision
  2. Natural Language Processing
  3. Knowledge Representation
  4. Machine Learning
  5. Expert System
  6. Robotics
  7. Text Mining

 

Computer Networking Topics include, but are not limited to, the following.
  1. Mobile Ad-hoc Networks
  2. Wireless Sensor Networks
  3. Network Mobility
  4. Integration of Mobile Ad-hoc Networks and Network Mobility
  5. Vehicular Networking
  6. Virtual Networks
  7. Internet of Things

 

Database Systems Topics include, but are not limited to, the following.
  1. Data Mining
  2. Data Warehouse
  3. Distributed Database
  4. Big Data

 

Cloud Computing Topics include, but are not limited to, the following.
  1. Cloud Computing Architecture
  2. Traffic Management for Cloud Computing
  3. Cloud Computing Applications
  4. Mobile Cloud Computing

 

Knowledge Management Topics include, but are not limited to, the following.
  1. Information Management
  2. Information Retrieval
  3. Information Extraction

Faculty

aj_rattana Asst.Prof.Dr. Rattana Wetprasit
Ph.D. (Computer Science), Griffith University, Australia
Research Interests : Software Engineering, Software Process Improvement, Software Quality
Curriculum vitae
Email : rattana.w(at)phuket.psu.ac.th
no_image Asst.Prof.Dr. Apichat Heednacram
Ph.D. (Algorithms and Theory) Griffith University, Australia , B.Eng. (First Class Honours) Griffith University, Australia
Research Interests : Algorithms for Spatial Data Analysis, Cloud Type Classification, Disaster Management on Open Street Map
Curriculum vitae
Email : apichat.h(at)phuket.psu.ac.th
IMG_9475 Asst.Prof.Dr. Aziz Nanthaamornphong
Ph.D. (Computer Science), University of Alabama, USA
Research Interests : Software Engineering, Empirical Software Engineering, Software Quality, Agile
Curriculum vitae
Email : aziz.n(at)phuket.psu.ac.th
no_image Asst.Prof.Dr. Warodom Werapun
Ph.D. in Computer Engineering (ENSEEIHT, France) ,Master II Research in Computer Engineering (ENSEEIHT, France), M. Eng. in Computer Engineering (KMITL, Bangkok)
Research Interests : LoRA network, Peer-to-Peer network, Distributed system
Curriculum vitae
Email : warodom.w(at)phuket.psu.ac.th
aj_jirawat Dr. Jirawat Thangthong
Ph.D. (Information Technology, Sirindhorn International Institute of Technology, Thailand
Research Interests : Ac Hoc Networks, Cloud Computing
Curriculum vitae
Email : jirawat.t(at)phuket.psu.ac.th
no_image Dr. Vorawika Wattanasunthon
Ph.D. (Technology), University of Girona, Spain
Research Interests : Serious games, Simulation, Augmented/Virtual reality, UI/UX
Curriculum vitae
Email : voravika.w(at)phuket.psu.ac.th
no_image Dr.Komsan Kanjajasit
PhD (Electrical Engineering), Heriot-Watt University, Edinburgh, United Kingdom, M.Eng (Electrical Engineering), King Mongkut's Institute of Technology North Bangkok, Thailand
Research Interests : Computational Electromagnetics, Microsystems and MEMS, Metamaterial and Antenna-Based Sensors, Microfabrications
Curriculum vitae
Email : komsan.k(at)phuket.psu.ac.th
IMG_9384 Dr. Nattapong Tongtep
Ph.D. (Information Technology), Thammasat University, Thailand
Research Interests : Information Extraction, Text Mining, Human Language Technology, Applied Informatics
Curriculum vitae
Email : nattapong.t(at)phuket.psu.ac.th
aj_kwan Dr. Kanjana Thongglin
Ph.D. (Natural Language Processing), Université de Besançon, France
Research Interests : Natural Language Processing, Data Mining, Artificial Intelligence, Controlled Language
Curriculum vitae
Email : kanjana.t(at)phuket.psu.ac.th
no_image Dr. Kwankamon Dittakan
Ph.D. (Computer Science), University of Liverpool, United Kingdom
Research Interests : Data Mining, Image Mining and Image Analysis
Curriculum vitae
Email : kwankamon.d(at)phuket.psu.ac.th
no_image Dr.Noppon Lertchuwongsa
Doctorat en physique (thesis: Segmentation couleur multi caractéristiques appliquée à la stereovision), Master Degree Masters Degree in Electrical Engineering At King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Curriculum vitae
Research Interests : Color Computer Vision, Sensors, Automatic systems
Email : noppon.l(at)phuket.psu.ac.th
no_image Dr. Adisak Intana
Ph.D. (Computer Science), University of Southampton, United Kingdom
Curriculum vitae
Research Interests : Software Engineer, Formal Engineering, Software Verification and Validation, Software Testing
Email : adisak.i(at)phuket.psu.ac.th