The goal for graduate program is to prepare students with abilities of independent thinking, analysis, creation, and integration. The graduate program are categorized into three specialization fields: " Machinery and System", "Measurement and Control", and "Materials and Process". Each graduate student should elect his/her major field. Each major field has its specific core curriculum and elective curriculum, coordinated with students’ research direction.
The core curriculum in each field covers the following:
(1) Machinery and System ,"Advanced Design of Machine", "Systems Engineering"
(2) Measurement and Control ,"Design of Automated Systems", "Signal Processing"
(3) Materials and Process ,"Biomaterials", "Unit Operations in Bio-Industry"
In addition, each field has its own elective curriculum providing the required knowledge for thesis research.
Within two to four years, graduate students for Master degree must take at least 32 credits (excluding the credits on MS thesis), to fulfill the graduation requirement. These credits include 14 credits from required courses: Special Topics on Bio-Mechatronics, Seminar, and Special Graduate Topics; and at least 18 credits from elective courses. Among the 18 credits from elective courses, it is required to take 9 credits from the major field of graduate program, including at least 3 credits from the core curriculum. The graduate students with outstanding performance are eligible to directly apply for doctoral program upon approval.
It takes two to seven years for the Ph.D. study. Ph.D. graduate students must take a minimum of 36 credits (excluding the credits on doctoral dissertation). These credits include 14 credits from required courses: Special Topics on Biological Mechatronics, Seminar, and Special Graduate Topics; and at least 22 credits from elective courses. Among these 22 credits, it is required to take 15 credits from the major field curriculum or core curriculum of graduate program, including at least 6 credits from core curriculum of the three major fields, and among these 6, at least 3 credits must be from the core curriculum of the student’s major field.
The elective courses are divided into four categories: "Machinery and System", "Measurement and Control", "Materials and Process" and common elective courses. Below are the courses of each category:
I. Machinery and System：
-Biological System Modeling and Analysis
-Simulation and Control in Bioenvironment
-BioMEMS and Bio-Nano-Technology
-System Identification of Biosystem
-Advanced Thermodynamics and its Application on Molecular Biology
-Computer-Aided Design Principles and Practice
-Human Factors Engineering
-Automation of Seedling Production
-Handling and Storage of Agricultural Products
-Controlled Environment Agriculture Engineering
-Experiments and Engineering in Horticulture Under Cover
-Incinerative Engineering and Process Control for Waste Disposal, etc.
II. Measurement and Control：
-Introduction to BioMEMS
-Biomolecular Sensing Devices
-Bio-Optical and Electrical System
-Principles and Applications of Digital Image Processing
-Digital Control Systems
-Biomedical Signaling and Biosensing
-Measurement Systems Applications & Design
-Mesomechanics and Bio Sensing System Design
-Electrochemistry: Theories and Practices
-Biomedical Electronics & Instrumentation
-The Concepts of Medical Device Design
-Dynamics and Control of Robots
-Measurement and Analysis of Vibration and Noise, etc.
III. Material and Process：
-Physical Properties of Biomaterials
-Semiconductor Manufacturing Technology
-Refrigeration and Food Freezing Engineering
-Electrochemical System Engineering
-Design and Application of Bioreactor
-Bioanalytical Instrumentation: Principles and Practices
-Waste Treatment Engineering
-Advanced Wastewater Treatment
-Biological Wastewater Engineering
-Fermentation Process Engineering
-Introduction to Combustion Principles
-Principles and Technology of Rice Drying
-Rice Drying Test and Simulation, etc.
IV. Common Elective Courses：
-Trends in Biotechnology and Bioindustry
-Design and Fabrication of MEMS
-Digital Circuit Design
-Medical Data Mining
-Finite Element Method
-Design and Analysis of Experiment
-Expert Systems in Agriculture
-Principles of Biomedical Imaging
-Scientific Writing and Technical Japanese, etc.