Statistics background

Applied Statistics and Probability

Learn to turn data into insight with Applied Statistics and Probability — mastering modeling, inference, and computational tools for impactful real-world solutions.

Foundation

Probability and Stochastic Foundations

  • Introduction to Probability
  • Introduction to Probability and Statistics
  • Probability (Calculus-level, Standard and Extended)
  • Probability Theory I and II
  • Theory of Probability
  • Introduction to Stochastic Processes
  • Probability and Statistics for the Physical Sciences and Engineering
  • Probability and Statistics for the Life Sciences
Computational Statistics

Mathematical & Computational Statistics

  • Mathematical Statistics
  • Theory of Statistics I & II
  • Bayesian Statistics / Bayesian Statistics for the Physical Sciences
  • Monte Carlo Methods / EN.553.433 Monte Carlo Methods
  • Computational Statistics
Statistical Modeling

Applied Statistical Modeling

  • Applied Statistics & Data Analysis I & II
  • Statistical Methods / Statistical Methods and Data Analysis
  • Statistical Analysis I & II
  • Statistical Models and Regression
  • Regression Analysis
  • Biostatistical Methods and Models
  • Time Series Analysis
  • Elements of Statistical Learning
  • Statistical Pattern Recognition Theory & Methods
Advanced Topics

Advanced Statistics

  • Introduction to R for Statistics and Data Science
  • Introduction to Causal Inference
  • Mathematical Foundations of AI Bias