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Institute of Statistics

The Institute of Statistics


Brief Introduction


The Institute of Statistics was established at the National Tsing-Hua University in 1988 though programs in Statistics have existed within the former Institute of Applied Mathematics for many years. Our alumni have earned national and international reputation in both applied and theoretical statistics. Currently there are: 6 Professors, 4 Associate Professors, 3 Emeritus Professors, and three staff.  For 2013/2014 graduate enrollment in Statistics, there are 51 and 9 students in M.S. and PhD programs respectively.

Our Master's program currently offers three tracks of study: Industrial Statistics, Financial and Economic Statistics, and Biostatistics and Environmental Statistics. The objectives of these programs are: contributions to scientific inquiry by applying mathematical and statistical knowledge to the design of surveys and experiments; the collection, processing, and analysis of data; and the interpretation of the results. Students employ their knowledge of statistical methods to a variety of subject areas, such as biology, economics, medicine, public health, marketing, and industry. Degrees are awarded according to Degree Conferral Law of Ministry of Education and academic regulations of National Tsing Hua University. Required courses for the Master’s degree are Mathematical Statistics, Seminar, Practicing Statistics, and Linear Models. Our PhD students additionally focus on theoretical statistics. Students pursuing a doctoral degree must pass the qualifying examination before the end of the second year. Please refer to Ph.D./Master’s Degree Regulation of Institute of Statistics for further information.


Aim : Statistics is a science of data analysis. Here, we strive to cultivate well-trained statisticians for all professional fields. Courses for Master’s program focus to provide students with the ability to integrate theory and applications in the track of study chosen, while courses for Ph.D. program concentrate on fundamental statistical theories to prepare students for research and teaching careers in academia or industry. Both graduate programs require a mix of theory and application with strong emphasis on acquiring sound computing skills.



  • Research Accomplishments:

The faculty is recognized for their expertise and contribution to statistical theory and practice. They have garnered many prestigious honors and awards. For instance, one member was appointed National Chair Professor by Ministry of Education (MOE), and two members have received Outstanding Research Awards (three times) from The National Science Council (NSC). Additionally, four members have been elected as International Statistical Institute (ISI) members and one has been selected as an Institute of Mathematical Statistics (IMS) fellow.

  • Professional Experience:

Our faculty members serve as Editors or Associate Editors for peer-reviewed journals including Biometrics, Statistica Sinica, Journal of Agricultural Biological and Environmental Statistics, Journal of Statistical Planning and Inference, IEEE Transactions on Reliability, Journal of the Chinese Statistical Association, and Journal of the Chinese Institute of Industrial Engineers. In addition, many professors have served as statistical consultants of the Industrial Technology Research Institute, TSMC, UMC, and Taiwan Power Company.

  • Applied Statistical courses in M.S. program:

The society has become increasingly data-dependent in the era of information technology as decision making is often based on quantitative information. Hence, the training for students in Master’s program is focused on data interpretation to address societal needs. The three tracks of M.S. study equip our graduates with the skills to analyze data for quality improvement in semiconductor-related manufacturing industry; financial investment interpretation in the financial service industry; as well as biological and environmental management in fields of medicine and ecology.

  • Our Institute provides statistical consulting services for NTHU and outside of NTHU:

Statistical consulting programs have been available since the establishment of the Institute to offer consulting services to the University community. Faculty members rotate each year to lead a group of graduate students taking the course “Practicing Statistics” to provide services to various divisions of the University, industrial and financial institutions, government organizations, and hospitals. Graduate students often gain valuable real-world experiences through this course.


Faculty and Staff 


CHAO, Anne Professor (Ph.D., Statistics, University of Wisconsin-Madison, USA) Reliability Analysis, Biostatistics
CHENG, Shao-Wei Associate Professor (Ph.D., Statistics, University of Michigan, USA) Design of Experiment, Industrial Statistics  
CHENG, Yu-Jen Associate Professor (Ph.D., Biostatistics, Johns Hopkins University, USA) Biostatistics, Survival Analysis  
CHOU, Rouh-Jane Professor (Ph.D., Statistics, Yale University, USA) Multivariate Analysis, Data Analysis  
HSIEH, Wen-Ping Associate Professor (Ph.D., Bioinformatics, North Carolina State University, USA) Bioinformatics, System Biology  
HSU, Nan-Jung Professor (Ph.D., Statistics, Iowa State University, USA) Time Series Analysis  
HUANG, Li-Shan Professor and Director (Ph.D., Statistics, University of North Carolina at Chapel Hill, USA) Nonparametric curve estimation, Biostatistics 
HUWANG, Long-Cheen Professor (Ph.D., Statistics, Cornell University, USA) Quality Management, Confidence Interval Estimation
SHU, Wun-Yi Associate Professor (Ph.D., Mathematics, University of Illinois at Urbana-Champaign, USA) Bioinformatics, Differential-Geometrical methods in Statistics  
TSENG, Sheng-Tsaing Professor (Ph.D., Management Science, Tamkang University , Taiwan) Reliability Analysis、Quality Management




Seminar ( Graduate, 1 credit hours, every semester )
Probability Theory ( Graduate, 3 credit hours, once a year )
Applied Probability Models ( Graduate, 3 credit hours, once a year )
Mathematical Statistics ( Graduate, 4 credit hours, once a year )
Statistics in Ecology, Environment, Genetics and Medicine ( Graduate, 3 credit hours, once a year )
Linear Models ( Graduate, 3 credit hours, once a year )
Quality Control System ( Graduate, 3 credit hours, once a year )
Colloquium ( Graduate, 1 credit hours, every semester )
Generalized Linear Models ( Graduate, 3 credit hours, once a year )
Categorical Data Analysis ( Graduate, 3 credit hours, once a year )
Reliability analysis ( Graduate, 3 credit hours, once a year )
Survival Analysis ( Graduate, 3 credit hours, once a year )
Statistical Computing ( Graduate, 3 credit hours, once a year )
Advanced Probability Theory ( Graduate, 3 credit hours, once a year )
Time Series Analysis ( Graduate, 3 credit hours, once a year )
Applied Multivariate Analysis ( Graduate, 3 credit hours, once a year )
Design and Analysis of Experiments ( Graduate, 2 credit hours, once a year )
Advanced Survival Analysis ( Graduate, 3 credit hours, once a year )
Statistical Inference ( Graduate, 3 credit hours, once a year )
Statistical Learning ( Graduate, 3 credit hours, once a year )
Practicing Statistics ( Graduate, 2 credit hours, every semester )
High Dimensional Survival Data Analysis ( Graduate, 3 credit hours, once a year )
Special topic of Response Surface Methodology ( Graduate, 3 credit hours, once a year )
Thesis ( Graduate, 0 credit hours, every semester )


Graduate Requirements

For Master degree students, 32 credit hours and a thesis

For Ph.D. degree students, 24 credit hours and a dissertation 


Financial Aids

For University scholarship information, please link to


Contact Information

For information specifically related to the Institutes of Statistics, please contact

Director :  Nan-Jung Hsu,

Secretary:  Wan-Ting Shih,


For further information on the Institute, you can also link to

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