Programme
| Degree | Academic Programme | Plan | Class | Length of Programme |
|---|---|---|---|---|
| Ph.D. | Health and Biomedical Analytics | 1.1 | TBA | 3 Years |
| 1.2 | TBA | 5 Years | ||
| 2.1 | TBA | 3 Years |
Programme’s Philosophy
The Doctor of Philosophy Programme in Health and Biomedical Analytics is a multidisciplinary programme integrating biomedical science, health science, and health information technology. It focuses on advanced research, modern health and biomedical data analytics, big data management, health data mining, artificial intelligence, and innovation to generate knowledge and address complex health problems at individual, community, and societal levels.
Grounded in constructivism, problem-based learning, and outcome-based education, the programme enables learners from diverse professional backgrounds to develop critical thinking, interpret empirical evidence, integrate relevant disciplines, and systematically design research, innovations, and health solutions.
The programme aims to produce academically excellent graduates with twenty-first-century skills and leadership in research and innovation. Graduates uphold ethical standards and research integrity, collaborate effectively in multidisciplinary and multicultural settings, and apply knowledge to improve health systems, policies, and biomedical innovations, thereby enhancing quality of life and supporting sustainable societal development.
Programme’s Objectives
PEO1: To produce graduates with advanced knowledge and expertise in health and biomedical analytics who can integrate multidisciplinary knowledge to generate new insights or knowledge for addressing complex health problems while upholding academic integrity and ethics. (Aligned with PLO1, PLO3, and PLO5)
PEO2: To develop graduates’ ability to analyse, evaluate, and synthesise empirical evidence from health and biomedical data systems and apply the findings to planning, decision-making, and identifying significant trends in health systems and public health policy. (Aligned with PLO2)
PEO3: To equip graduates to design research, innovations, technologies, or artificial intelligence systems in health and biomedicine to prevent or address high-impact health problems, with practical applications in workplaces and healthcare organisations. (Aligned with PLO3 and PLO6)
PEO4: To develop graduates as lifelong learners who can collaborate effectively in multicultural societies, communicate and disseminate health and biomedical knowledge, and lead changes that create value for society. (Aligned with PLO4 and PLO6)
Programme’s Highlights
The Doctor of Philosophy Programme in Health and Biomedical Analytics is a multidisciplinary programme integrating biomedical science, health science, and health information technology with biostatistics, health data science, advanced analytics, and artificial intelligence. It equips learners to conduct advanced health data analyses, systematically generate new knowledge, design research, develop analytical models, and create practical innovations.
The programme supports national and international health priorities, particularly precision medicine, digital health, and medical hub development. Its flexible study plans accommodate learners from diverse academic backgrounds, while collaboration with national and international networks enhances research experience and global competitiveness. Graduates are prepared with advanced academic and research competencies, innovative capabilities, and a commitment to sustainable social responsibility.
Career Opportunities
1. Health Innovator – Develops health innovations, diagnostic kits, health products, digital health technologies, and healthcare AI for government agencies, private companies, innovation centres, hospitals, health technology organisations, or digital health start-ups.
2. Health and Biomedical Analytics Researcher – Conducts research, advanced data analysis, and knowledge generation to support health systems, precision medicine, and biomedicine in research institutes, universities, hospitals, or international organisations.
3. University Lecturer or Academic Scholar – Teaches and conducts research in health data science, biomedical science, biostatistics, medical data science, or health and biomedical analytics.
4. Health and Biomedical Data Analyst/Data Scientist – Manages and analyses health and biomedical data, develops analytical models, and provides data-driven recommendations to public health agencies, hospitals, or digital health organisations.
5. Health Information Systems Specialist – Designs, develops, and manages health information systems, including HIS, EHR, and population health databases, in compliance with international standards, the Personal Data Protection Act (PDPA), and data governance principles.
6. Health Policy and Data Analyst – Uses empirical evidence to inform health policy, assess health situations, and support public health decision-making at organisational, national, or international levels
Program Learning Outcomes: PLOs
- PLO1 Create new knowledge and approaches in advanced health and biomedical analytics through a multidisciplinary approach
- PLO2 Evaluate data and outcomes from research or health and biomedical information sources to identify trends and generate new insights that support decision-making for the health system and public health policies
- PLO3 Design research, innovations, or artificial intelligence applications in health and biomedical sciences to prevent and address complex health-related problems
- PLO4 Display self-directed lifelong learning and collaboration in a multicultural society
- PLO5 Display decision-making in research and data utilization by ensuring privacy and security in accordance with international regulations and legal standards
- PLO6 Embody the attributes of a health researcher or health innovator who is responsive to high impact health problems
Tuition and Fees
Plans 1.1 and 2.1: Three-Year Programme (Six Semesters)
Thai students: 60,000 Baht per semester; 360,000 Baht per programme
International students: 78,000 Baht per semester; 468,000 Baht per programme
Plan 1.2: Five-Year Programme (Ten Semesters)
Thai students: 60,000 Baht per semester; 600,000 Baht per programme
International students: 78,000 Baht per semester; 780,000 Baht per programme
Programme Structure
(1) Plan 1.1: For Master’s Degree Holders
Total credits : 48 credits (3-year Doctor’s Degree)
1. Foundation Course: Non-credit
2. Required Courses: Non-credit
3. Dissertation: 48 credits
(2) Plan 1.2: For Bachelor’s Degree Holders
Total credits : 72 credits (5-year Doctor’s Degree)
1. Foundation Course: Non-credit
2. Required Courses: Non-credit
3. Dissertation: 72 credits
(3) Plan 2.1: For Master’s Degree Holders
Total credits : 48 credits (3-year Doctor’s Degree)
1. Foundation Course: Non-credit
2. Required Courses: 6 credits
3. Elective Courses: 6 credits
4. Dissertation: 36 credits
