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 Plans

Plan A1 Research only

Plan A2 Research-based with coursework

Plan B Independent study and coursework

Program Characteristics

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

  1. Language of Instruction English

  2. Admission Both Thai and non-Thai students

  3. 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

  1. Holding a Bachelor Degree in Science or equivalent in related programs

  2. Having GPA of at least 3.25 from the maximum of 4.00 (or lower plus adequate research experience)

  3. Good reading, writing and communication skills in English.

  4. 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

  1. The student must satisfy all the graduation requirements specified in the Regulation of Walailak University on Graduate Study B.E. 2563.

  2. 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.