Tuesday, 24 April 2018

Prospective Students


DOCTOR OF PHILOSOPHY PROGRAM IN DATA SCIENCE FOR HEALTH CARE(INTERNATIONAL PROGRAM) 

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

Degree Designation

DOCTOR OF PHILOSOPHY(DATA SCIENCE FOR HEALTH CARE)

Admission Requirements

Plan 1 (1.1) : Research only (1) Graduated Master degree in Data Science for Health Care 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 as the requirement of Faculty of Graduate Studies (4) Work or have experience as an instructor or researcher in data sciences or relevant fields at least three years (5) Have at least 3 publications in peer-reviewed international journals within 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 Faculty of Graduate studies under exceptional circumstances Plan 2 (2.1) : Coursework and Research (for student with other Master's degree) (1) Graduated Master degree in health sciences, computer related disciplines from an accredited national or international academic institution recognized and attested by the Higher Education Commission or graduated in medical specialty certificate, e.g., Diploma of Fellowship of The Royal College of Physicians (2) Grade point average not less than 3.50 (3) Have an English Proficiency Examination score as the requirement of Faculty of Graduate Studies (4) Exemptions from the above conditions may be granted by the Program Committee and The Dean of Faculty of Graduate studies under exceptional circumstances Plan 2 (2.2) : Coursework and Research (for student with Bachelor's degree) (1) Graduated Doctor of Medicine or Graduated Bachelor degree in Computer Sciences, Informatics, Statistics, Health Sciences, or other related disciplines (2) Grade point average not less than 3.50 (3) Have an English Proficiency Examination score as the requirement of Faculty of Graduate Studies (4) Exemptions from the above conditions may be granted by the Program Committee and The Dean of Faculty of Graduate studies under exceptional circumstances

Curriculum Structure

Plan 2 For students with Bachelor's Degree
Required Courses 16            Credits
Elective Courses not less than 8            Credits
Dissertation 48            Credits
Total number of credit not less than 72            Credits
Plan 2 For students with Master's Degree
Required Courses 9            Credits
Elective Courses not less than 3            Credits
Dissertation 36            Credits
Total number of credit not less than 48            Credits
Plan 1 For students with Master's Degree
Dissertation 48            Credits

Job option after graduation


- Professional data scientist
- Researcher
- Health information system analyst

Course Requirements

Plan 1

Dissertation Credit
RADS898 : DISSERTATION 48

Plan 2

Required Courses Credit
   For students with Bachelor's degree
RACE625 : MEDICAL STATISTICS IN CLINICAL RESEARCH 3
RACE626 : ADVANCED STATISTICAL ANALYSIS IN CLINICAL RESEARCH 3
RADS601 : HEALTH INFORMATICS AND HEALTH INFORMATION TECHNOLOGY 3
RADS602 : DATA MINING AND MACHINE LEARNING 3
RADS603 : BUSINESS INTELLIGENCE 2
RADS608 : PRINCIPLES AND CONCEPTS OF HEALTH SYSTEMS 2
   FOR STUDENTS WITH MASTER'S DEGREE
RACE622 : STUDY DESIGNS AND MEASUREMENTS IN CLINICAL EPIDEMIOLOGY 3
RADS606 : PROGRAMMING AND ALGORITHM DESIGN TECHNIQUE 3
RADS607 : DATA MODELING AND VISUALIZATION 3
Elective Courses Credit
   For students with Bachelor's degree
RACE607 : CLINICAL ECONOMICS 3
RADS604 : INNOVATION IN HEALTH INFORMATION TECHNOLOGY 2
RADS605 : ADVANCED MACHINE LEARNING 3
RADS609 : ACCOUNTING FINANCE AND MANAGEMENT OF HEALTHCARE ORGANIZATIONS 3
RADS610 : HEALTH POLICY ANALYSIS 2
RADS611 : ADVANCED MODELING TECHNIQUES 3
RADS612 : BIOINFORMATICS 2
RADS613 : REAL TIME AUTOMATION ANALYTICS 2
RADS614 : MEDICAL IMAGE PROCESSING 2
RADS615 : NATURAL LANGUAGE PROCESSING 2
   For students with Master's degree
RADS604 : INNOVATION IN HEALTH INFORMATION TECHNOLOGY 2
RADS605 : ADVANCED MACHINE LEARNING 3
RADS610 : HEALTH POLICY ANALYSIS 2
RADS611 : ADVANCED MODELING TECHNIQUES 3
RADS612 : BIOINFORMATICS 2
RADS613 : REAL TIME AUTOMATION ANALYTICS 2
RADS614 : MEDICAL IMAGE PROCESSING 2
RADS615 : NATURAL LANGUAGE PROCESSING 2
Dissertation Credit
   For students with Bachelor's degree
RADS799 : DISSERTATION 48
   For students with Master's degree
RADS699 : DISSERTATION 36