Academic Eligibility:

• A good background in Probability Theory is essential; for example two courses in Probability, Probability 1 and Probability 2.
• Knowledge of Statistics is highly desirable, for example Introduction to Statistics. More advanced courses in Probability are highly desirable, for example Foundations of Modern Probability.
• Knowledge of measure-theoretical Probability and/or measure theory is desirable as well. An introduction to Markov processes is desirable but not essential, for example Random models or Markov processes, but not essential.
• Knowledge of real analysis is essential and of complex analysis is desirable, for example Real and Complex Analysis.
• Knowledge of basic calculus, for example Calculus and Vectors A, and ordinary differential equations is essential, Calculus and Applications A.
• Knowledge of partial differential equations is highly desirable, for example Partial Differential Equations and Vector Calculus A.
• Knowledge of solving partial differential equations numerically is desirable but not essential.
• Although there is no formal requirement for previous programming experience, a familiarity with writing computer programs (for example, in Python, MATLAB, C/C++ or Java) is desirable.

Indian Student Eligibility:

Applicants must have:

• A good background in Probability Theory is essential; for example two courses in Probability, Probability 1 and Probability 2.
• Knowledge of Statistics is highly desirable, for example Introduction to Statistics. More advanced courses in Probability are highly desirable, for example Foundations of Modern Probability.
• Knowledge of measure-theoretical Probability and/or measure theory is desirable as well. An introduction to Markov processes is desirable but not essential, for example Random models or Markov processes, but not essential.
• Knowledge of real analysis is essential and of complex analysis is desirable, for example Real and Complex Analysis.
• Knowledge of basic calculus, for example Calculus and Vectors A, and ordinary differential equations is essential, Calculus and Applications A.
• Knowledge of partial differential equations is highly desirable, for example Partial Differential Equations and Vector Calculus A.
• Knowledge of solving partial differential equations numerically is desirable but not essential.
• Although there is no formal requirement for previous programming experience, a familiarity with writing computer programs (for example, in Python, MATLAB, C/C++ or Java) is desirable.

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.