Master Program in Data Science and Artificial Intelligence (International Program)

Degree Title

Master of Science (Data Science and Artificial Intelligence)

M.Sc. (Data Science and Artificial Intelligence)

Major Subjects (if any) None

Program Learning Outcomes (PLO)

PLO1 Understand proficiently in theory of data science and artificial intelligence.

PLO2 Ability to apply theory in data science and artificial intelligence to manage the big data that exists in the 4.0 era skillfully and cause the most benefit for the development of the country.

PLO3 Ability to create a thesis and publish the research that is internationally recognized.

PLO4 Understand moral and ethical according to the philosophy of “Sufficiency Economy”

Program Plans

Plan A1 Research only

Plan A2 Research-based with coursework

Plan B Independent study and coursework

Program Characteristics

Program Type Master Program Graduate within 12-18 months following the European model of Walailak University

Language of Instruction English
Admission Both Thai and non-Thai students
Degree Conferment One degree, Master of Science (Data Science and Artificial Intelligence)

Expected year that the program be published by the Commission of Higher

Education Semester 2/Academic Year 2020

Possible careers for the graduates

Data Scientist, Researchers, Lecturers and experts in Data Science and Artificial Intelligence or a related field, Entrepreneurs.

Admission Requirement

Holding a Bachelor Degree in Science or equivalent in related programs
Having GPA of at least 3.25 from the maximum of 4.00 (or lower plus adequate research experience)
Good reading, writing and communication skills in English.
To obtain the M.Sc. in Science Degree, TOEFL 450 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 7,000 USD (210,000 THB) each year for Thai students and 9,500 USD (285,000 THB) each year for the international students.

Graduation Requirement

The student must satisfy all the graduation requirements specified in the Regulation of Walailak University on Graduate Study B.E. 2563.
One paper at international standard should be published.

Program of Study

Type A1: Research only (Total 39 credits)
Required courses	3 (non-credits)
Seminar	3 (non-credits)
Thesis	39 credits
Duration	18 months
Type A2: Research and Coursework (Total 39 credits)
Required courses	24 credits
Seminar	3 (non-credits)
Elective Courses	3 credits
Thesis	12 credits
Duration	18 months

Type B: Independent study and coursework (Total 39 credits)
Required courses	24 credits
Seminar	3 (non-credits)
Elective Courses	12 credits
Independent study	3 credits
Duration	18 months

The master program in Data Science and Artificial Intelligence (DS&AI) at School of Science, Walailak University (WU) is supported by Erasmus+CBHE. The master program has been designed in partnership with the ERASMUS+ DS&AI consortium, a group of 14 European and Asian universities and companies with the mission of bringing European-standard advanced education to Asia. The project strengthens European cooperation in transdisciplinary education and internationalization, which will bring the strong scientific knowledge in DS&AI to the higher education systems.