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
625.603 Statistical Methods in Data Analysis
625.661 Statistical Models and Regression
685.662: Data Patterns and Representations OR 663.707 Innovative Data Strategies for Global Leaders (in person)
685.652 Data Engineering Principles and Practice
625.664 Computational Statistics