The following courses are prerequisites for the Data Science track: Calculus I, Calculus II, Calculus III, Intro to Python, and Linear Algebra. Please note that prerequisites are subject to change.
The following courses are required to complete the Data Science track. The sequence in which these courses must be taken is subject to approval by the Data Science technical track advisor:
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