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Master Degree Type 2 (Plan A Type A2)

Degree Requirements a minimum of 39 credits

A. Course Work a minimum of 27 credits

     1. Graduate courses a minimum of 27 credits

     1.1 Field of Specialization a minimum of 27 credits

          1.1.1 Required courses 15 credits

Course ID Course Name Credits
204712 Computer Systems and Networks 3 (3-0-6)
204721 Data Engineering 3 (3-0-6)
204732 Software Engineering : Theory and Application 3 (3-0-6)
204735 Computation and Algorithms 3 (3-0-6)
204791 M.S. Seminar in Computer Science 1 (1-0-2)
204792 Research Methodology in Computer Science 2 (2-0-4)


          1.1.2 Elective courses a minimum of 12 credits

               1.1.2.1 Prescribed elective courses 6 credits

               A student may select a group of subjects according to his/her field of interest at least one group from the groups specified in (1) or (2) or (3).

(1) Computer System and Security
Course ID Course Name Credits
204713 Cloud Computing and Big Data 3 (3-0-6)
204715 Intelligent Embedded System 3 (3-0-6)


(2) Data Science
Course ID Course Name Credits
204725 Data Analytics and Machine Learning 3 (3-0-6)
204728 Data Manipulation 3 (3-0-6)


(3) Software Engineering
Course ID Course Name Credits
204736 Software Process Improvement 3 (3-0-6)
204737 Software Quality Engineering 3 (3-0-6)

               1.1.2.2 Elective courses a minimum of 6 credits

               A student can enroll in any courses in other groups of subjects, which are unselected as prescribed elective courses mentioned in 1.1.2.1 or the following courses or other courses with approval of Graduate Program Administrative Committee.

Computer System and Security
Course ID Course Name Credits
204711 Computer Architecture 3 (3-0-6)
204714 Advanced Concepts in Operating Systems 3 (3-0-6)
204716 Parallel Processing 3 (3-0-6)
204717 Concurrent Programming 3 (3-0-6)
204754 Cryptography and Computer Security 3 (3-0-6)
204761 Data Communications and Computer Networks 3 (3-0-6)
204763 Distributed System 3 (3-0-6)


Data Science
Course ID Course Name Credits
204722 Information Retrieval 3 (3-0-6)
204755 Neural Networks and Fuzzy Logic 3 (3-0-6)
204764 Artificial Intelligence 3 (3-0-6)
204765 Expert System 3 (3-0-6)
204767 Image Processing 3 (3-0-6)
204774 Data Mining 3 (3-0-6)


Software Engineering
Course ID Course Name Credits
204723 Analysis and Design of Information System 3 (3-0-6)
204726 Design and Management of Database System 3 (3-0-6)
204733 Software Project Management 3 (3-0-6)
204734 Object-Oriented Technology and Development 3 (3-0-6)


Theory
Course ID Course Name Credits
204731 Data Structure and Algorithms 3 (3-0-6)
204741 Principles of Programming Languages 3 (3-0-6)
204742 Compiler Design and Construction 3 (3-0-6)
204752 Theory and Languages of Simulation 3 (3-0-6)
204753 Computational Theory 3 (3-0-6)


Information Systems
Course ID Course Name Credits
204724 Decision Support Systems 3 (3-0-6)
204727 Information Technology in Business 3 (3-0-6)
204766 Computer Graphics 3 (3-0-6)
204771 Internet Technology 3 (3-0-6)


Selected Topics
Course ID Course Name Credits
204779 Selected Topics in Computer Science 2 (2-0-4)
204789 Selected Topics in Computer Science 3 (3-0-6)

     1.2 Other courses (if any)

          1.2.1 Required courses
                    none
          1.2.2 Elective courses
                    With approval of the Graduate Program Administrative Committee.

     2. Advanced undergraduate courses - none


B. Thesis


Course ID Course Name Credits
204799 Master’s Thesis 12



C. Non-credit courses


     1. Graduate School requirement
          – a foreign language https://www.grad.cmu.ac.th/grad_wp2/?page_id=1400

     2. Program’s requirement
          It necessary enroll in additional courses as required by the Graduate Program Administrative Committee: Those who did not complete any course in computer must take the course

Course ID Course Name Credits
204700 Data Structure and Programming Languages 2 (2-0-4)

And/Or

Course ID Course Name Credits
204701 Networking and Operating System 2 (2-0-4)



D. Academic Activities


     1. A student has to attend seminar and present paper on the topic related to his/her thesis for 1 time(s) in every semester for at least 3 semesters and students have to attend seminar every semester that the course is offered.

     2. At least 1 master’s thesis work or a part of master’s thesis work must be published or at least accepted to publish in a national journal listed in TCI Tier 1 database with the student as the first author or at least a part of master’s thesis work must be published as full paper with the student as the first author in a proceedings of international conferences acceptable by the field of study’s standard.



Study Plan

Type 2 (Plan A Type A2)

Academic Year 1 Semester 1
Course ID Course Name Credits
204712 Computer Systems and Networks 3
204721 Data Engineering 3
204732 Software Engineering : Theory and Application 3
204735 Computation and Algorithms 3
Seminar
Total12
Academic Year 1 Semester 2
Course ID Course Name Credits
204792 Research Methodology in Computer Science 3
2047xx Prescribed Elective Courses 6
2047xx Elective Courses 3
Pass Foreign Language Exam
Seminar
Total11



Academic Year 2 Semester 1
Course ID Course Name Credits
204791 M.S. Seminar in Computer Science 1
204799 Master’s Thesis 6
2047xx Elective Course 3
Propose Thesis Topic
Total10
Academic Year 2 Semester 2
Course ID Course Name Credits
204799 Master’s Thesis 6
Seminar
Thesis Exam
Total6


english_version.txt · Last modified: 2021/06/20 19:34 by admin