Doctoral Program
in Computer Science
and Information Systems

International Program

Program Objectives

The School of Applied Statistics at National Institute of Development Administration (NIDA) offers Ph.D. degrees in Computer Science and Information Systems (CSIS). The objective of the program is to provide educational environment that encourages student to develop their ability to contribute to the advancement of the fields. Requirements for the program emphasize students’ ability to carry out independent research by synthesising non-trivial, original ideas; and communicating their research effectively through well-written dissertations and publications.

The program targets those students with research interests in topics generally associated with computer science and information systems. The area of concentration consists of software engineering, operating systems, distributed and parallel computing, multimedia and image processing, computer network and security, artificial intelligence, databases, data warehousing, data mining, information systems management, information security management and knowledge management.

Students with superior qualifications who are interested in advancing their knowledge in computer science and information systems are invited to apply. The program combines course work with research work led by researchers in their areas of expertise.

Language of Instruction

  • The language of instruction is English.

Program Structure

  • The program consists of two majors, computer science and information systems. It is divided into two types of study plan.

Type 1: Dissertation only (48 credits)

  • This plan is intended for applicants with Master’s degrees, strong academic records and research backgrounds. Considerations will be made upon the applicants’ scholastic record, experiences and dissertation proposals.

Type 2: Dissertation and coursework

  • This plan consists of 18 credits of coursework and 36 dissertation credits. Considerations will be made upon the applicants’ scholastic records and experience.

Transfer of credits will follow NIDA’s regulations on education.

Admissions

1. Students must hold Master’s degrees in Computer Science, Computer Engineering, Information Systems Management or related fields from accredited institutions with excellent academic records.
2. Good proficiency in English (TOFEL or IELTS score is required).

Application forms can be obtained from School’s website (http://as.nida.ac.th).

Application Deadline

i. First Semester
(August - December): April
ii. Second Semester
(January - May): September
(Application deadline for each semester will be announced by NIDA)

Financial Aid

The program offers a number of full and half tuition fee exemption scholarships with stipends for outstanding students. In addition, teaching and research assistant positions are available for qualified students.

Facilities

Classes are held at school of Applied Statistics, NIDA. Teaching facilities include classrooms equipped with modern audio-visual equipments, Computer laboratory, and software dedicated for Ph.D. research.
Students have access to the campus library, which has an extensive collection of books, documents, journals and other AV devices, of more than 200,000 items.

Contact Address

Director of Doctoral Program in Computer Science and Information Systems
School of Applied Statistics
118 Seri Thai Road, Klong Chan, Bangkapi,
Bangkok 10240, Thailand.
Telephone : (662) 377-5381
      (662) 727-3037-9
Facsimile : (662) 374-4061
Email : edu@as.nida.ac.th

Course

core courses

Major in Computer Science :

  • Advanced Computer Architectures

  • Design and Analysis of Algorithms

  • Advanced Database Systems

Major in Information Systems

  • Information Systems Management

  • Advanced Database Systems

  • Information Security Management

Selected Elective Courses

  • Advanced Artificial Intelligence

  • Machine Learning

  • Neural Networks

  • Computer and Network Security

  • Cryptography

  • Wireless and Mobile Communication

  • Data Warehouse and Applications

  • Multimedia Processing

  • Image Processing

  • Advance Operating Systems

  • Parallel and Distributed Computing

  • User Interface Design and Development

  • Computer Graphics and Visualisation

  • Compiler Design and Construction

  • Decision Technology for management

  • Management of Information Technology Resource

  • Economics of Information

  • Knowledge Discovery

  • Knowledge Management

Graduation
Requirements

1. The student must demonstrate reading and writing proficiency in English language (in accordance with the announcement of NIDA).
2. The Type 2 student must complete their course work with GPA of at least 3.0.
3. The student must pass the qualify examination.
4. The student must pass the dissertation proposal examination within a required time frame.
5. After the dissertation proposal is approved, the student must register for dissertation work every semester and report the progress of the dissertation to the doctoral program committee for evaluation every semester.
6. The student is required to have results from the dissertation accepted for publication in a peer-reviewed journal or any other academic publications of acceptable standards prior to the final oral examination of the dissertation.
7. The student must pass the final oral examination of the dissertation.

Program Faculty

Nithinant Thammakoranonta
Ph.D. (Industrial Management)
Ohm Sornil
Ph.D. (Computer Science)
Pipat Hiranvanichakorn
D.E. (Information Processing)
Pramote Kuacharoen
Ph.D. (Electrical and Computer
  Engineering)
Pramote Luenam
Ph.D. (Information systems)
Rattakorn Poonsuph
Sc.D. (Computer Science)
Raweewan Auepanwiriyakul
Ph.D. (Computer Science)
Sukanya Suranauwarat
Ph.D. (Computer Science and
  Communication Engineering)
Supoj Satanthavibul
Ph.D. (Computer Science)
Surapong Auwatanamongkol
Ph.D. (Computer Science)
Sutep Tongnam
Ph.D. (Computer Science)
Thitirat Siriborvornratanakul
Ph.D. (Computer Engineering)
Tanasai Sucontphunt
Ph.D. (Computer Science)
Vichit Lorchirachoonkul
Ph.D. (Electrical Engineering)
Waraporn Jirachiefpattana
Ph.D. (Computing and Information
  Systems)