WHY US

The Ph.D. Program at the Graduate Institute of Biomedical Informatics creates an international and multidisciplinary environment. Where students are provided comprehensive training to integrate knowledge and skills from biomedicine and information science. Taught in partnership with TMU-affiliated hospitals, our Program equips students with the ability required to solve problems in biomedical industries, clinical practice, and research, in order to fulfill unmet healthcare needs.

COURSES INTRODUCTION

The Institute currently has 14 full-time, 3 part-time professors from diverse backgrounds with expertise in integrated studies of biological and medical information. Our Ph.D. Program features interdisciplinary courses including biomedical informatics, big data analysis (using both geno- and phenotype data), health Internet of Things (IoT), telemedicine & mobile health (mHealth), clinical decision support systems, and artificial intelligence in medicine. Students also participate in internships at biomedical information-related industries.

CURRICULA

These 6 courses are required:

 ◆  Seminar 4 credits
 ◆  Special topics in biomedical informatics 3 credits
 ◆  Special topics in processing & translational research of medical science & technology 2 credits
 ◆  Cell biology & artificial intelligence in biomedical informatics 2 credits
 ◆  Research ethics 0 credit
 ◆  Dissertation 12 credits

Suggested Electives:

 ◆  Precision genomics & proteomics in medical application 2 credits
 ◆  Machine learning 2 credits
 ◆  Experimental design & research methods 2 credits
 ◆  Animal models of disease research 2 credits
 ◆  Epigenetics 2 credits
 ◆  Medical decision support 2 credits
 ◆  Bioinformatics in precision medicine 2 credits
 ◆  Stem cell translational research & therapeutics 2 credits
 ◆  Applied biostatistics 2 credits

Semester 1

Required courses:

 ◆  Seminar 1 credit
 ◆  Special topics in biomedical informatics 3 credits

Elective courses:

 ◆  Experimental design & research methods 2 credits
 ◆  Animal models of disease research 2 credits
 ◆  Epigenetics 2 credits
 ◆  Medical decision support 2 credits
 ◆  Bioinformatics in precision medicine 2 credits
 ◆  Stem cell translational research & therapeutics 2 credits

Semester 2

Required courses:

 ◆  Seminar 1 credit
 ◆  Cell biology & artificial intelligence in biomedical informatics 2 credits

Elective courses:

 ◆  Precision genomics & proteomics in medical application 2 credits
 ◆  Machine learning 2 credits
 ◆  Applied biostatistics 2 credits

Semester 3

Required course:

 ◆  Seminar 1 credit
 ◆  Special topics in processing & translational research of medical science & technology 2 credits

Semester 4

Required courses:

 ◆  Seminar 1 credit
 ◆  Dissertation 12 credits

GRADUATION REQUIREMENTS

  • A minimum of 30 credits, including 23 credits of required courses
  • 2 SCI original papers or 1 original paper in a journal with Impact Factor ≧ 6.
  • Thesis defense

FUTURE CAREER PATH

Graduates leave our Program capable to independently innovate, conduct research and publish academic works, and are equipped with the leadership skills to head industrial projects or fill professional leadership positions.

Our Ph.D. graduates pursue a variety of promising career paths, including: 1) as biomedical and bioinformatic scientists, consultants, and opinion leaders in the smart healthcare industry; 2) as clinical data scientists and IT healthcare / clinical professionals in medical settings; 3) as professors and researchers in academic and research institutes; and 4) as expert consultants for health and regulatory authorities.

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