Prospective Students
|
Admission Period: Round 1st 15 November 2018 - 31 January 2019 |
|
Programme Code 2231DG00 |
|
DOCTOR OF PHILOSOPHY PROGRAM IN DATA SCIENCE FOR HEALTH CARE (INTERNATIONAL PROGRAM)หลักสูตร ปรัชญาดุษฎีบัณฑิต สาขาวิชาวิทยาศาสตร์ข้อมูลการดูแลสุขภาพ (หลักสูตรนานาชาติ) |
|
| Major | - |
| Level | Doctoral Degree Programme |
| Faculty/Institute | FACULTY OF MEDICINE RAMATHIBODI HOSPITAL |
| Website | https://med.mahidol.ac.th/ |
| Expected number of students | 8 |
1. 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
2. English Language Proficiency
Minimum English Proficiency Score for Admission
| IELTS | minimum | 3.0 | or |
| TOEFL-IBT | minimum | 32 | or |
| TOEFL-ITP | minimum | 400 |
English Proficiency Score for Graduation
| IELTS | minimum | 5.0 | or |
| TOEFL-IBT | minimum | 61 | or |
| TOEFL-ITP | minimum | 500 |
3. Selection Method
- Consideration of Application Documents
- Interview
4. Examination Schedule
| วันจันทร์ 4 มีนาคม พ.ศ. 2562 | |
| สถานที่ (ห้อง /ชั้น /อาคาร/ คณะ/ วิทยาเขต) | 09.00 - 12.00 Room 813, 8th Floor, Medical Learning Resource Center and Ramathibodi School of Nursing Building, Faculty of medicine Ramathibodi Hospital |
| หมายเหตุ | กำหนดการสอบสัมภาษณ์ อาจมีการเปลี่ยนแปลง กรุณาตรวจสอบกำหนดการอย่างเป็นทางการอีกครั้ง ในวันประกาศรายชื่อผู้มีสิทธิ์เข้าสอบสัมภาษณ์ วันพุธ 27 กุมภาพันธ์ 2562 ที่ www.grad.mahidol.ac.th |
5. Required Documents
Applicants must upload a scanned copy of following documents (PDF format) through the online admission system:
1. English Proficiency Score Certificate (with 2-year validity)
Applicant without valid English score is initially allowed to submit application
2. Degree Certificate / Certification of being study in the final year or waiting for graduation.
3. Academic Transcript / Grade Report.
4. Photo (jpeg format)
5. Thai Citizen ID Card
6. Certificate of Change of Name/Surname (if any)
Other(s)
Notice: iconv() [function.iconv]: Detected an illegal character in input string in D:\WebSite\th\prospective-students\used-curEditPage.php on line 1521
- Curriculum Vitae, 2 Recommendation letters, Brief proposal 3
Applicant must submit all required documents for each program of application.
6. Application Process
ดูรายละเอียดเพิ่มเติมที่นี่ ขั้นตอนการสมัครเข้าศึกษา
7. 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 | |
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 | ||
8. Job Option after Graduation
- Professional data scientist - Researcher - Health information system analyst
9. Additional Information
10. Details of Scholarship
11. Estimated Tuition Fee
12. Contact the Programme
Program Director
Lect.Dr.Oraluck Pattanaprateep
E-mail: oraluck.pat@mahidol.ac.th
Room 350, Research Centre Building, Floor 3,
Section For Clinical Epidemiology and Biostatistics, Faculty of Ramathibodi Hospital.
Tel. : 0 2-201-0832 Fax. : 0 2201-1284
Program Secretary
Asst.Prof.Dr.Sakda Arj-Ong Vallibhakara
Room 350, Research Centre Building, Floor 3,
Section For Clinical Epidemiology and Biostatistics, Faculty of Ramathibodi Hospital.
Tel. : 0 2-201-0832 Fax. : 0 2201-1284
Program Coordinator
Miss Paneevon Palakawong na ayutthaya
E-mail: paneevon.pal@mahidol.edu
Section For Clinical Epidemiology and Biostatistics
8th Floor, Medical Learning Resource Center and Ramathibodi School of Nursing Building, Faculty of medicine Ramathibodi Hospital
Tel. : 0 2-201-0832 Fax. : 0 2201-1284
