Course Schedule

Explore the course schedule for the Master of Science (MS) in Data Science and Analytics at Thomas Edison State University. View upcoming online data science courses, including Python, R, machine learning, predictive analytics, data visualization, SQL, and capstone offerings, to plan your path toward earning an advanced degree in one of today's most in-demand fields.

Term	Course Code and Title	Track	Prerequisite	Course Type
January	DSI-5050: Programming 1: Python	Python	None	Requirement
	DSI-5060: Programming 1: R	R	None	Requirement
	DSI-5090: Natural Language Processing I	Python	none
	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Python	DSI-5050 Programming 1: Python and DSI-507: Programming 2: Python	Requirement
	DSI-6030: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with Python	Python	DSI-6001: Predictive Analytics 1: Machine Learning Tools with Python and DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Requirement
	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	R	DSI-5060: Programming 1: R and DSI-5080: Programming 2: R	Requirement
	DSI-6060: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R and DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	Requirement
	DSI-6100: Optimization – Linear Programming	Either	None	Elective
March	DSI-5070: Programming 2: Python	Python	DSI-5050: Programming 1: Python	Requirement
	DSI-5080: Programming 2: R	R	DSI-5060: Programming 1: R	Requirement
	DSI-5100: Forecasting Analytics	R	None	Elective
	DSI-5110: Introduction to Network Analysis	Either	None	Elective
	DSI-5300: SQL - Introduction to Database Queries	Either	None	Requirement
	DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Python	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Requirement
	DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	Requirement
	DSI-6080: R Programming Intermediate	R	DSI-5060: Programming 1: R and DSI-5080: Programming 2: R	Elective
	DSI-6110: Natural Language Processing II	Either	None	Elective
	DSI-6220: Interactive Data Visualization	Either	Core	Requirement
	DSI-7000: Applied Predictive Analytics	Either	All Requirements	Capstone
May	DSI-5050: Programming 1: Python	Python	None	Requirement
	DSI-5060: Programming 1: R	R	None	Requirement
	DSI-5090: Natural Language Processing I	Python	none
	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Python	DSI-5050 Programming 1: Python and DSI-5070: Programming 2: Python	Requirement
	DSI-6030: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with Python	Python	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python and DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Requirement
	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	R	DSI-5060: Programming 1: R and DSI-5080: Programming 2: R	Requirement
	DSI-6060: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R and DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	Requirement
	DSI-6130: Anomaly Detection	Either	Core	Elective
	DSI-6140: Customer Analytics in R	R	DSI-5060: Programming 1: R	Elective
	DSI-6250: Risk Simulation and Queuing	Either	None	Elective
July	DSI-5070: Programming 2: Python	Python	DSI-5050: Programming 1: Python	Requirement
	DSI-5080: Programming 2: R	R	DSI-5060: Programming 1: R	Requirement
	DSI-5100: Forecasting Analytics	R	None	Elective
	DSI-5110: Introduction to Network Analysis	Either	None	Elective
	DSI-5300: SQL - Introduction to Database Queries	Either	None	Requirement
	DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Python	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Requirement
	DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	Requirement
	DSI-6100: Optimization – Linear Programming	Either	None	Elective
	DSI-6110: Natural Language Processing II	Either	None	Elective
	DSI-6220: Interactive Data Visualization	Either	None	Requirement
	DSI-6400: Spatial Statistics with Geographic Information Systems	R	None	Elective
September	DSI-5050: Programming 1: Python	Python	None	Requirement
	DSI-5060: Programming 1: R	R	None	Requirement
	DSI-5090: Natural Language Processing I	Python	none
	DSI-5110: Introduction to Network Analysis	Either	None	Elective
	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Python	DSI-5050 Programming 1: Python and DSI-5070: Programming 2: Python	Requirement
	DSI-6030: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with Python	Python	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python and DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Requirement
	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	R	DSI-5060: Programming 1: R and DSI-5080: Programming 2: R	Requirement
	DSI-6060: Predictive Analytics 3: Dimension Reduction, Clustering, and Association Rules with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R and DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	Requirement
	DSI-6210: Integer and Nonlinear Programming and Network Flow	Either	DSI-6100: Optimization – Linear Programming	Elective
	DSI-7000: Applied Predictive Analytics	Either	All Requirements	Capstone
	DSI-5070: Programming 2: Python	Python	DSI-5050: Programming 1: Python	Requirement
November	DSI-5080: Programming 2: R	R	DSI-5060: Programming 1: R	Requirement
	DSI-5100: Forecasting Analytics	R	None	Elective
	DSI-5300: SQL - Introduction to Database Queries	Either	None	Requirement
	DSI-6020: Predictive Analytics 2: Neural Nets and Regression with Python	Python	DSI-6010: Predictive Analytics 1: Machine Learning Tools with Python	Requirement
	DSI-6050: Predictive Analytics 2: Neural Nets and Regression with R	R	DSI-6040: Predictive Analytics 1: Machine Learning Tools with R	Requirement
	DSI-6110: Natural Language Processing II	Either	None	Elective
	DSI-6130: Anomaly Detection	Either	Core	Elective
	DSI-6220: Interactive Data Visualization	Either	Core	Requirement
	DSI-6250: Risk Simulation and Queuing	Either	None	Elective