Prospective Students
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Admission Period: Round 2nd 16 January 2018 - 20 April 2018 |
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Programme Code 2231MG00 |
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MASTER OF SCIENCE PROGRAM IN DATA SCIENCE FOR HEALTH CARE (INTERNATIONAL PROGRAM)หลักสูตร วิทยาศาสตรมหาบัณฑิต สาขาวิชาวิทยาศาสตร์ข้อมูลการดูแลสุขภาพ (หลักสูตรนานาชาติ) |
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| Major | - |
| Level | Masters Degree Programme |
| Faculty/Institute | FACULTY OF MEDICINE RAMATHIBODI HOSPITAL |
| Website | https://med.mahidol.ac.th/ |
| Expected number of students | 5 |
1. Admission Requirements
A candidate must:
1. Graduated Doctor of Medicine or Graduated Bachelor degree in Computer Sciences, Informatics,
Statistics, Health Sciences, or other related disciplines from an accredited national or international academic
institution recognized and attested by the Thailand Higher Education Commission
2. Grade point average not less than 2.75
3. Have an English Proficiency Examination score as the requirement of Faculty of Graduate Studies
4. Submit a certificate of English proficiency with minimum admission score:
- IELTS - at least 3 or
- TOEFL INTERNET BASED - at least 32 or
- TOEFL ITP (test arranged by Faculty of Graduate Studies, Mahidol University) - at least 400
Important Notes:
- English proficiency score must be taken within 2 years up to the admission date.
- MU English Competence Standards: www.grad.mahidol.ac.th
- MU English proficiency tests, please contact the Language Center, Faculty of Graduate Studies. Tel. 0-2441-4125 ext. 221-222
5. Exemptions from the above conditions may be granted by the Program Committee and the Dean of
Faculty of Graduate studies under exceptional circumstances
2. Examination Schedule
กำหนดการสอบข้อเขียน
| หลักสูตรสาขาวิชานี้ ไม่มีการสอบข้อเขียน |
3. Required Documents
All documents must be scanned with a scanner machine into PDF format (maximum size 2 MB). Except a photo must be in JPEG format.
- English proficiency score certificate
- Degree certificate / Letter certifying that the applicant is in the final year waiting for graduation
- Academic transcript / Grade report
4. Application Process
สมัครผ่านระบบ Online Admission ที่ www.grad.mahidol.ac.th
ดูรายละเอียดเพิ่มเติมที่นี่ ขั้นตอนการสมัครเข้าศึกษา
ดูรายละเอียดเพิ่มเติมที่นี่ ขั้นตอนการสมัครเข้าศึกษา
5. Curriculum Structure
| Plan A2 | |||
| Required course | 16 | Credits | |
| Elective course not less than | 8 | Credits | |
| Thesis | 12 | Credits | |
| Plan B | |||
| Required course | 16 | Credits | |
| Elective course not less than | 14 | Credits | |
| Thematic paper | 6 | Credits | |
Plan A2
| Required Courses | Credit | ||
| 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 | ||
| Elective Courses | Credit | ||
| RACE607 : CLINICAL ECONOMICS | 3 | ||
| RACE611 : CLINICAL EPIDEMIOLOGY AND EVIDENCE-BASED MEDICINE | 3 | ||
| RACE618 : SYSTEMATIC REVIEW AND META-ANALYSIS | 3 | ||
| RADS604 : INNOVATION IN HEALTH INFORMATION TECHNOLOGY | 2 | ||
| 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 | ||
| Thesis | Credit | ||
| RADS698 : THESIS | 12 | ||
Plan B
| Required Courses | Credit | ||
| 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 | ||
| Elective Courses | Credit | ||
| RACE607 : CLINICAL ECONOMICS | 3 | ||
| RACE611 : CLINICAL EPIDEMIOLOGY AND EVIDENCE-BASED MEDICINE | 3 | ||
| RACE618 : SYSTEMATIC REVIEW AND META-ANALYSIS | 3 | ||
| RADS604 : INNOVATION IN HEALTH INFORMATION TECHNOLOGY | 2 | ||
| 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 | ||
| Thematic Paper | Credit | ||
| RADS697 : THEMATIC PAPER | 6 | ||
6. Job Option after Graduation
- Specialist in data science - Researcher - Health information system analyst
7. Additional Information
-
8. Details of Scholarship
9. Estimated Tuition Fee
More Information at https://graduate.mahidol.ac.th . Look for the topic : Tuition and Fees
10. Contact the Programme
Program Director
Email: oraluck.pat@mahidol.ac.th
Section for clinical epidemiology and biostatistic
Faculty of Medicine Ramathibodi Hospital
Mahidol University
Tel. 02-201-2684
Program Coordinator
Sudasiri Sriwiang
Email: sudasiri.sri@mahidol.ac.th
Section for clinical epidemiology and biostatistic
Faculty of Medicine Ramathibodi Hospital
Mahidol University
Tel. 02-201-2684
