Department of Statistics (Graduate)

Return to: Graduate Studies

Website URL:

http://www.stat.purdue.edu/academic_programs/graduate/index.php

Department/School Head:

Dennis Lin

Academic Programs:

Master’s and Ph.D. Programs

The Department of Statistics at Purdue University is recognized as one of the top statistics programs in the nation. The Department has 64 faculty members and hundreds of undergraduate and graduate students. The program prepares students for careers in both industry and academia and prepares them to be leaders in their fields.

• M.S.
  • Applied Statistics
  • Fifth Year Applied Statistics
  • Data Science in Finance (online and residential)
  • Mathematical Statistics or Probability
  • Joint Statistics and Computer Science
• Ph.D.
  • Ph.D. in Statistics 

Regular Graduate Faculty by Rank:

Professor

William S. Cleveland
Hua Hua Chang (Courtesy)
Chris Clifton
Bruce A. Craig
Anirban DasGupta
Chong Gu
Faming Liang
Dennis Lin
Guang Lin (Courtesy)
Chuanhai Liu
Jennifer Neville
Thomas M. Sellke
Xiao Wang
Mark Daniel Ward
Patrick Wolfe
Jun Xie
Dabao Zhang
Hao Zhang
Min Zhang
Michael Zhu

Associate Professor

Anindya Bhadra
Stanley Ho Chan
Sharon Christ
Kiseop Lee
Michael Levine
Raghu Pasupathy
Vinayak Rao
Arman Sabbaghi
Qifan Song
Bowei Xi
Lingsong Zhang
Tonglin Zhang

Assistant Professor

Jordan Awan
Antik Chakraborty
Zachary J. Hass (Courtesy)
Jean Honorio (Courtesy)
Nianqiao Ju
Timothy J. Keaton (Professor of Practice)
Haibo Liu
Takashi Owada
Jianxi Su
Wei Sun (Courtesy)
Jing Wang
Lin Wang
Mengyi Xu
Fei Xue

Emeritus Faculty

Mary Ellen Bock
Burgess Davis
Alexander Gluhovsky
Thomas Kuzcek
George P. McCabe
David S. Moore

Programs

• Statistics, PHD

• Data Science in Finance, MS (Graduate)
• Statistics, MS
• Statistics, MS (Online)

• Applied Statistics, Post Baccalaureate Certificate (Online)

Courses

• STAT 50100 - Experimental Statistics I
• STAT 50200 - Experimental Statistics II
• STAT 50300 - Statistical Methods For Biology
• STAT 50600 - Statistical Programming And Data Management
• STAT 51100 - Statistical Methods
• STAT 51200 - Applied Regression Analysis
• STAT 51300 - Statistical Quality Control
• STAT 51400 - Design Of Experiments
• STAT 51500 - Statistical Consulting Problem
• STAT 51600 - Basic Probability And Applications
• STAT 51700 - Statistical Inference
• STAT 51900 - Introduction To Probability
• STAT 52000 - Time Series And Applications
• STAT 52200 - Sampling And Survey Techniques
• STAT 52400 - Applied Multivariate Analysis
• STAT 52500 - Intermediate Statistical Methodology
• STAT 52600 - Advanced Statistical Methodology
• STAT 52700 - Introduction To Computing For Statistics
• STAT 52800 - Introduction To Mathematical Statistics
• STAT 52900 - Applied Decision Theory And Bayesian Statistics
• STAT 53200 - Elements Of Stochastic Processes
• STAT 53800 - Probability Theory I
• STAT 53900 - Probability Theory II
• STAT 54000 - Computational Finance I
• STAT 54100 - Computational Finance II
• STAT 54500 - Introduction To Computational Statistics
• STAT 54600 - Computational Statistics
• STAT 54900 - An Introduction To QTL Mapping In Experimental Populations
• STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs
• STAT 58000 - Application Of Statistical Theory
• STAT 58100 - Bioinformatics Seminar
• STAT 58200 - Statistical Consulting And Collaboration
• STAT 59000 - Internship Seminar
• STAT 59700 - Statistical Consulting Seminar
• STAT 59800 - Topics In Statistical Methods
• STAT 63800 - Stochastic Processes I
• STAT 63900 - Stochastic Processes II
• STAT 65600 - Bayesian Data Analysis
• STAT 66700 - Measure-Theoretic Statistics: Decision Theoretic And Classical
• STAT 69000 - Seminar
• STAT 69100 - Seminar In Probability Theory
• STAT 69200 - Statistics Seminar
• STAT 69500 - Seminar In Mathematical Statistics
• STAT 69800 - Research MS Thesis
• STAT 69900 - Research PhD Thesis

Return to: Graduate Studies