Statistics

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied.

Machine Learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

Related Courses

Complete descriptions appear in the course catalog. 

View the semester course schedule.

  • EN.553.111  Statistical Analysis I
  • EN.553.112   Statistical Analysis II
  • EN.553.171   Discrete Mathematics
  • EN.553.211   Probability and Statistics for the Life Sciences
  • EN.553.310   Prob & Stats for the Physical and Information Sciences & Engineering
  • EN.553.310   Probability & Statistics for the Physical Sciences & Engineering
  • EN.553.311   Probability and Statistics for the Biological Sciences and Engineering
  • EN.553.4/600  Mathematical Modeling and Consulting
  • EN.553.4/617  Mathematical Modeling: Statistical Learning
  • EN.553.4/629  Introduction to Research in Discrete Probability
  • EN.553.4/630  Introduction to Statistics
  • EN.553.4/636  Introduction to Data Science
  • EN.553.4/650  Computational Molecular Medicine
  • EN.553.629  Introduction to Research in Discrete Probability
  • EN.553.6/732 Bayesian Statistics
  • EN.553.6/733  Advanced Topics in Bayesian Statistics
  • EN.553.720 Probability Theory I
  • EN.553.721 Probability Theory II
  • EN.553.730   Statistical Theory
  • EN.553.731   Statistical Theory II
  • EN.553.761   Nonlinear Optimization I
  • EN.553.762   Nonlinear Optimization II
  • EN.553.764   Modeling, Simulation, and Monte Carlo
  • EN.553.765   Convex Optimization
  • EN.553.734  Introduction to Nonparametric Estimation
  • EN.552.735  Topics in Statistical Pattern Recognition
  • EN.552.782   Statistical Uncertainty Quantification

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Research and academic opportunities in statistics and machine learning

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