The following courses are prerequisites for the Data Science track: Calculus I, Calculus II, Calculus III, Intro to Python, and Linear Algebra.
The following courses are required to complete the Data Science track:
685.621 Algorithms for Data Science
625.623 Statistical Methods in Data Analysis
625.661 Statistical Models and Regression
685.662: Data Patterns and Representations
685.652 Data Engineering Principles and Practice
625.664 Computational Statistics