Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Advanced Statistical Inference (Ⅰ)	◎		◎
Advanced Statistical Inference (Ⅱ)	◎		◎
Structural Equation Models	◎
Categorical Data Analysis	◎	◎	◎		◎
Applied Linear Regression	◎	◎	◎	◎
Neural and Behavioral Modeling		◎		◎	◎
Research on Psychoinformatics and Neuroinformatics(Ⅱ)		◎	◎	◎	◎
Research on Psychoinformatics and Neuroinformatics(III)		◎	◎	◎	◎
Psychoinformatics and Neuroinformatics		◎		◎	◎
Network Data Analysis and Models	◎	◎			◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Spatiotemporal Data Visualization		◎	◎	◎	◎
Geospatial Simulation		◎	◎	◎	◎
Bayesian Analysis for Spatial Data		◎		◎	◎
Introduction to Optimization		◎		◎	◎
Data Analytics		◎	◎	◎	◎
Time Series Analytics		◎	◎	◎	◎
Linear Algebra and Its Applications	◎				◎
Introduction to Statistical Control and Optimization	◎	◎	◎	◎	◎
Stochastic Hydroclimatic Modeling and Simulation		◎	◎	◎	◎
IoT-based Probabilistic Risk Analysis				◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Spatiotemporal Data Analysis and Mapping		◎	◎	◎	◎
Statistical Computing	◎	◎	◎	◎	◎
Method of Advanced Biometrics (Ⅰ)	◎		◎
Method of Advanced Biometrics (Ⅱ)	◎		◎
Design and Analysis of Factorial Experiments	◎	◎	◎	◎	◎
Applied Linear Statistical Models (I)	◎	◎	◎	◎
Applied Linear Statistical Models (II)	◎	◎	◎	◎
Geostatistics	◎	◎			◎
Stochastic Hydrology	◎	◎			◎
Spatiotemporal Analysis and Mapping in Environmentl Systems		◎		◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Artificial Neural Networks ： Theory and Application		◎		◎	◎
Data Computation, Analysis and Visualization Using R	◎	◎	◎	◎	◎
Linear algebra and its visualization	◎			◎
Machine learning and environmental data analysis		◎		◎	◎
Optimization and network flows for environmental systems		◎		◎	◎
Special Topics of Statistical Genetics I	◎	◎		◎	◎
Applied Econometrics	◎	◎		◎	◎
Research Methodoloogy			◎	◎	◎
Advanced Statistics (Ⅰ)	◎		◎
Advanced Statistics (Ⅱ)	◎		◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Survey Methods and Data Management		◎		◎	◎
Experimental Design and Analysis in Engineering	◎	◎	◎	◎	◎
Exploratory Multivariate Data Analysis	◎	◎		◎
Econometrics (Ⅰ)	◎	◎		◎	◎
Econometrics	◎	◎		◎	◎
Stochastic Models of Asset Pricing		◎			◎
Real Analysis and Probability	◎
Business Analytics and Research Method		◎	◎	◎	◎
Financial Time Series	◎	◎			◎
Big Data Marketing	◎	◎	◎	◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Multivariate Analysis	◎	◎		◎
Quantitative Business Science		◎	◎	◎	◎
Business Model Innovation through the Internet of Things		◎	◎	◎	◎
Mathematical Statistics	◎		◎
Applied Stochastic process (Ⅰ)	◎			◎
Applied Stochastic process (Ⅱ)	◎			◎
Advanced Statistical Methods for Lifetime Data and Longitudinal Data	◎	◎		◎
Special Topics in Epidemiology				◎	◎
Principles of Epidemiology	◎	◎	◎
Biomedical Statistical Consultation M (3)	◎	◎	◎	◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Seminar on Preventive Medicine Methods		◎	◎	◎	◎
Principle of Genetic Epidemiology			◎		◎
Principles of Epidemiology: Practice of Data Analysis		◎	◎	◎	◎
Special Topics in Genomic Studies		◎	◎		◎
Statistics in Disease Screening		◎			◎
Structural Equation Modeling	◎	◎	◎	◎	◎
Methods in Descriptive Epidemiology	◎	◎	◎		◎
Special Topics in Case Control Methodology	◎	◎	◎		◎
Clinical Epidemiology			◎
Modeling of Infectious Diseases Epidemiology	◎	◎	◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Introduction and Application of Computational Biology Methods	◎	◎		◎	◎
Introduction to Meta-analysis		◎		◎	◎
Statistical and Machine Learning		◎		◎	◎
Survival Analysis	◎	◎	◎	◎
Applied Bayesian Statistical Methods	◎	◎	◎	◎	◎
Statistical Analysis for Repeated Measurements	◎	◎	◎	◎
Computing in Epidemiology and Biostatistics	◎	◎		◎
Statistical Thinking	◎	◎	◎		◎
Categorical Data Analysis	◎	◎	◎		◎
Experimental Design	◎	◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Statistical Consulting and Practice	◎	◎	◎	◎	◎
Python – Programing and Applications	◎	◎	◎	◎	◎
Machine Learning for Business Analytics		◎		◎	◎
Multivariate Analysis	◎	◎		◎
Business Model Innovation through the Internet of Things		◎	◎	◎	◎
Demography		◎			◎
Stochastic hydroclimatic modeling and simulation		◎	◎	◎	◎
Machine learning and environmental data analysis		◎		◎	◎
Spatiotemporal data analysis and mapping		◎	◎	◎	◎
IoT-based probabilistic risk analysis				◎	◎
Capabilities \ Core Courses	A. Statistical Theory B. Statistical Analysis Ability C. Statistical Consulting Ability D. Practical Statistical Skills E. Interdisciplinary Application
	[A]	[B]	[C]	[D]	[E]
Statistical Methods	◎	◎	◎	◎	◎
Cloud Computing for High Dimensional Data		◎	◎	◎	◎
Exercise of Cloud Computing for High Dimensional Data		◎	◎	◎	◎
Core Capabilities	A Statistical Theory	B Statistical Analysis Ability	C Statistical Consulting Ability	D Practical Statistical Skills	E Interdisciplinary Application
Number of Core Courses （Number of All Courses: 93）	52	74	54	66	67