Name of Institution Walailak University
Faculty / School of Science
Program Title Doctor of Philosophy Program in Data Science and Artificial Intelligence (International Program)
Degree Title Doctor of Philosophy (Data Science and Artificial Intelligence)
Ph.D. (Data Science and Artificial Intelligence)
Major Subjects (if any) None
Program Learning Outcomes (PLO)
The morality and ethics
1.1 (G) Able to demonstrate leadership in promoting excellent conduct with the moral, ethical, and ethical principles of data science and artificial intelligence researchers.
1.2 (G) Able to use discretion as knowledge with fairness, evidence, rational principles, and good values in publishing excellent research results in data science and artificial intelligence.
The knowledge
2.1 (S) Be able to explain profoundly the theories, principles, and concepts of data science and artificial intelligence.
2.2 (S) Be able to perfectly describe the application of data science and artificial intelligence techniques for developing innovations or creating new knowledge.
2.3 (S) Be able to explain the principles, processes, and concepts of applying and developing research in data science and artificial intelligence to lead innovation or create new knowledge.
The intellectual skills
3.1 (S) Able to analyse and discuss important issues constructively to lead to the development of new solutions to problems by integrating excellent knowledge in theories and techniques of data science and artificial intelligence.
3.2 (S) Able to synthesise research findings and theories in data science and artificial intelligence to develop a new body of creative knowledge by integrating ideas from both inside and outside of the field of study.
3.3 (S) Able to manage research projects for maximum efficiency.
The interpersonal skills and responsibilities
4.1 (G) Able to be responsible excellently for planning, analysing, and solving problems in highly complex data science and artificial intelligence research processes.
4.2 (G) Excellent internationally recognized academic leadership skills.
The numerical analysis, communication, and information technology skills
5.1 (G) Able to manage the big data that existed in the 4.0 era skillfully and cause the most benefit for the country’s development by applying the theory of data science and artificial intelligence.
5.2 (S) Able to communicate and pass on knowledge of the research results in data science and artificial intelligence to various groups of people in academics, professions, and the general community to understand them perfectly.
5.3 (S) Able to write academic papers based on research in data science and artificial intelligence for publication in international academic journals perfectly.
Program Plans
Plan 1.1 Research student with a Master degree
Plan 1.2 Research student with a Bachelor degree
Plan 2.1 Research and coursework student with a Master degree
Plan 2.2 Research and coursework tudent with a Bachelor degree
Program Characteristics
- Program Type Master Program Graduate within 36-48 months following the European model of Walailak University
- Language of Instruction English
- Admission Both Thai and non-Thai students
- Degree Conferment One degree, Doctor of Philosophy (Data Science and Artificial Intelligence)
Expected year that the program be published by the Commission of Higher
Education Semester 1/Academic Year 2021
Possible careers for the graduates Data Scientist, Researchers, Lecturers and
experts in Data Science and Artificial Intelligence or a related field, Entrepreneurs.
Admission Requirement
Type 1.1 and 2.1
- Holding a Master Degree in Science or equivalent in related programs.
- Published a scientific paper in national or international journal or at least having work experience in research, with approval depended upon the consent of the curriculum administrative committee.
- Good reading, writing and communication skills in English.
- To obtain the D. in Science Degree, TOEFL 500 or equivalent has to be passed during the study period.
Type 1.2 and 2.2
- Holding a Bachelor Degree in Science or equivalent in related programs.
- Having GPA of at least 3.50 from the maximum of 4.00, or two published scientific papers in national or international journal, with approval depended upon the consent of the curriculum administrative committee.
- Good reading, writing and communication skills in English.
- To obtain the D. in Science Degree, TOEFL 500 or equivalent has to be passed during the study period.
List of the potential advisors and their expertise
Potential Advisors | Research interests |
BIOLOGY | |
Assoc.Prof.Dr. Mullica Jaroensutasinee | Biological Statistical Analysis, Population Genetics, Animal Behavior |
Asst.Prof.Dr. Jariya Sakayaroj | Marine Mycology, Molecular Fungal Systematics |
Asst.Prof.Dr. Phitchayapak Wintachai | Molecular Virology, Antimicrobial Drug Discovery, Bacteriophage |
Asst.Prof.Dr. Udomsak Darumas | Taxonomy and Ecology of Mudskipper, Marine Ecology, Diving |
Dr. Pimchanok Pimton | Embryonic Stem Cell Differentiation |
PHYSICS | |
Assoc.Prof.Dr. Krisanadej Jaroensutasinee* | Coral Sensor Network, Machine Learning, AI, IoT, Smart Agriculture, Drone Mapping, Big Data Analytics |
Assoc.Prof.Dr. Chitnarong Sirisathitkul* | Magnetic Materials, Composites and Nanostructures |
Dr. Chairote Yaiprasert | Meteorology and Oceanography |
MATHEMATICS | |
Assoc.Prof.Dr. Sanae Rujivan* | Mathematical Finance. Stochastic Modeling, Parameter Estimation |
Asst.Prof.Dr. Janyarak Tongsomporn | Number Theory, Classical Analysis |
Asst.Prof.Dr. Wanida Limmun | Regression Analysis, Mixture Experimental Design |
Asst.Prof.Dr. Kittipong Laipaporn | Central Limit Theorem |
Asst.Prof.Dr. Prathomjit Khachorncharoenkul | Linear Algebra |
*Program Coordinators
Place of instruction Main campus of Walailak University
Tuition Fee approximately 9,000 USD (270,000 THB) each year for
Thai students and 11,500 USD (345,000 THB) each year for the international students.
Graduation Requirement
- Two published papers or at least accepted for publishing international scientific journals.
- The thesis work or its part must be presented at a national or international academic conference (or symposium).
Program of Study
Type 1.1 Research student with a master’s degree (Total 48 credits) | |
Seminar | 6 (non-credits) |
Thesis | 48 credits |
Duration | 36 months |
| |
Type 1.2 Research student with a bachelor’s degree (Total 72 credits) | |
Seminar | 12 (non-credits) |
Thesis | 72 credits |
Duration | 48 months |
Type 2.1 Research and coursework student with a master’s degree (Total 48 credits) | |
Seminar | 6 credits |
Elective Courses | 6 credits |
Thesis | 36 credits |
Duration | 36 months |
Type 2.2 Research and coursework tudent with a bachelor’s degree (Total 72 credits) | |
Seminar | 12 credits |
Elective Courses | 12 credits |
Thesis | 48 credits |
Duration | 48 months |