Department of Statistics (Graduate)

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Website: https://www.stat.purdue.edu/

Department/School Head

Xiao Wang

Faculty by Rank

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 30 tenure-track and tenured professors, 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 (online and residential)
  • 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

Programs

• Statistics, PHD

• Data Science in Finance, MS
• Statistics, MS
• Statistics: Applied Statistics Concentration, MS (OL)

• Applied Statistics, Post-Baccalaureate Certificate
• Data Science in Finance, Post-Baccalaureate Certificate

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 57900 - Foundations Of Statistical Machine Learning
• STAT 58000 - Application Of Statistical Theory
• STAT 58100 - Bioinformatics Seminar
• STAT 58200 - Statistical Consulting And Collaboration
• STAT 58700 - Machine Learning In Finance
• 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 - Research Colloquium
• STAT 69500 - Seminar In Mathematical Statistics
• STAT 69800 - Research MS Thesis
• STAT 69900 - Research PhD Thesis

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