Academic Deficiency Program students must take following 4 undergraduate courses: 

• STAT 203 Probability I (3-2)4
  Sample space, events, basic combinatorial probability, conditional probability, Bayes’ theorem, independence, random variables, distributions, expectation.
• STAT 204 Probability II (3-2)4
  Transformations of random variables, generating functions, conditional expectation, limit theorems, central limit theorem, limiting distributions.
  Prerequisite: STAT 203, MATH 119
• STAT 363 Linear Models I (3-2)4
  Simple and Multiple Linear Regression Models. Estimation, interval estimation and test of hypothesis on the parameters of the models. Model adequecy checking. Multicollinearity. Transformation.
  Prerequisites: MATH 260, STAT 156
• STAT 412 Statistical Data Analysis (3-2)4
  Types of data. Graphical and tabular representation of data. Approaches for finding unexpected in data. Exploratory data analyses for large and high-dimensional data. Analysis of categorical data. Elements of robust estimation. Handling missing data. Smoothing methods. Data mining.
  Prerequisite: STAT 291 or STAT 292, STAT 363, or CD
  *CD: Consent of the Department