Curriculum DOCTOR OF PHILOSOPHY PROGRAM IN DATA SCIENCE FOR HEALTHCARE AND CLINICAL INFORMATICS (INTERNATIONAL PROGRAM) 

Curriculum

DOCTOR OF PHILOSOPHY PROGRAM IN DATA SCIENCE FOR HEALTHCARE AND CLINICAL INFORMATICS (INTERNATIONAL PROGRAM) 

Level Doctoral
Faculty / Institute FACULTY OF MEDICINE RAMATHIBODI HOSPITAL
Website https://med.mahidol.ac.th/

Degree Designation

DOCTOR OF PHILOSOPHY(DATA SCIENCE FOR HEALTHCARE AND CLINICAL INFORMATICS)

Admission Requirements

								   
											
							 Plan 1 (1.1):  Research Only (for Students with a Master's Degree)
(1) Graduated with a Master's degree in Data Science for Healthcare and Clinical Informatics or a closely-related discipline from an accredited national or international academic institution recognized and attested by the Higher Education Commission
(2) Grade point average not less than 3.50
(3) Have an English Proficiency Examination score meeting the requirements of the Faculty of Graduate Studies 
(4) Work or have experience as an instructor or researcher in data sciences or clinical Informatics or closely relevant fields for at least three years
(5) Have at least 3 publications in peer-reviewed international journals within the last 5 years, as the first or corresponding author
(6) Exemptions from the above conditions may be granted by the Program Committee and the Dean of the Faculty of Graduate Studies under exceptional circumstances.

Plan 2: 2.2 Coursework and Research (for Students with a Bachelor's Degree)
(1) Graduated with a doctor of medicine/dentistry/pharmacy/nursing degree or graduated with a bachelor's degree in health sciences, information science, mathematics/statistics, engineering, management science, social science, or an IT-related discipline from an accredited national or international academic institution recognized and attested by the Higher Education Commission
(2) Grade point average not less than 3.50
(3) Have an English Proficiency Examination score meeting the requirements of the Faculty of Graduate Studies 
(4) Exemptions from the above conditions may be granted by the Program Committee and the Dean of the Faculty of Graduate Studies under exceptional circumstances.							 							 							 
							 
							 

Curriculum Structure

Plan 1.1 For students with Master's Degree
Dissertation 48            Credits
Plan 2.2 For students with Bachelor's Degree
Required Courses 18            Credits
Elective Courses not less than 6            Credits
Dissertation 48            Credits
Total not less than 72            Credits

Job Option after Graduation


- Professional data scientists
- Professional health/clinical informaticians
- Researchers
- Health information systems analysts

Course Requirements

Plan 1

Dissertation Credit
   For students with Master's degree
RADI898 : DISSERTATION 48

Plan 2

Required Courses Credit
   For students with Bachelor's degree
RADI603 : MEDICAL STATISTICS AND PROGRAMMING FOR DATA SCIENCE AND CLINICAL INFORMATICS 2
RADI604 : PRINCIPLES AND CONCEPTS OF HEALTH SYSTEMS 2
RADI605 : MODERN MACHINE LEARNING 2
RADI606 : INFORMATION TECHNOLOGY MANAGEMENT IN HEALTHCARE ORGANIZATIONS 2
RADI607 : THEORIES IN HEALTH INFORMATICS AND HEALTH INFORMATION TECHNOLOGY 3
RADI608 : DATA MINING AND MACHINE LEARNING 3
RADI609 : RESEARCH METHODS IN DATA SCIENCE AND CLINICAL INFORMATICS 2
RADI610 : SEMINAR IN DATA SCIENCE AND CLINICAL INFORMATICS RESEARCH 2
Elective Courses Credit
RADI620 : UNSTRUCTURED DATA PROCESSING 2
RADI621 : BUSINESS INTELLIGENCE SYSTEMS 2
RADI622 : MEDICAL IMAGE PROCESSING 2
RADI623 : NATURAL LANGUAGE PROCESSING 2
RADI624 : SIGNAL PROCESSING 2
RADI625 : DATA MODELING AND VISUALIZATION 2
RADI630 : HEALTH INFORMATION PRIVACY AND SECURITY 2
RADI631 : OPERATIONS MANAGEMENT IN HEALTHCARE 2
RADI632 : INFORMATION SYSTEM DEVELOPMENT AND MANAGEMENT 2
RADI633 : PUBLIC POLICY AND LAWS IN HEALTH INFORMATICS 2
RADI634 : HEALTH INFORMATION STANDARDS AND INTEROPERABILITY 2
RADI641 : INNOVATIONS IN HEALTH INFORMATION TECHNOLOGY 2
RADI642 : HEALTH POLICY ANALYSIS 2
RADI643 : CLINICAL DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE IN HEALTHCARE 2
Dissertation Credit
RADI799 : DISSERTATION 48