Data Science Analytics Master’s Degree from Thomas Edison State University (TESU)

Earn a Master’s of Science (MS) degree online from Thomas Edison State University’s Heavin School of Arts and Sciences (TESU) through a curricular partnership with Statistics.com.

This online program will provide you with graduate-level theoretical knowledge, applied skills and the ability to derive value from data in real-world decision making. Data science is an emerging interdisciplinary field that incorporates computer science, statistics, and mathematical modeling with applications in business, government, the life sciences, and social sciences. The rapid emergence of related disciplines provides a unique opportunity for students to be part of a data science transformation over the next decade.

This innovative MS degree in Data Science Analytics from TESU will train you in predictive modeling, forecasting, customer segmentation, data visualization, and risk analysis.
Not ready to commit to a Master’s yet? Earn a Graduate Certificate in Data Analytics and apply the credits earned to the Master’s later.

For more information: TESU’s Graduate Certificates Page.

Required Courses

DSI-5050 Programming 1: Python -or- DSI-5060 Programming 1: R

DSI-5070: Programming 2: Python – or – DSI-5080: Programming 2: R

DSI-5300: SQL – Introduction to Database Queries

DSI-6010: Predictive Analytics 1 – Machine Learning Tools*: Python – or – DSI-6040: Predictive Analytics 1 – Machine Learning Tools: R

DSI-6020: Predictive Analytics 2 – Neural Nets and Regression*: Python – or – DSI-6050: Predictive Analytics 2 – Neural Nets and Regression: R

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules – with Python -or- Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules – with R

DSI-6220: Interactive Data Visualization

DSI-7000: Applied Predictive Analytics (Capstone)

Elective Courses

DSI 5090 Natural Language Processing I

DSI-5100: Forecasting Analytics

DSI-5110: Introduction to Network Analysis

DSI-6080: R Programming Intermediate

DSI-6100: Optimization – Linear Programming

DSI-6110: Natural Language Processing (NLP)

DSI-6130: Anomaly Detection

DSI-6140: Customer Analytics in R

DSI-6210: Integer and Nonlinear Programming and Network Flow

DSI-6250: Risk Simulation and Queuing

DSI-6400: Spatial Statistics with Geographic Information Systems

“I am very appreciative of the instructor and the teaching assistants for their availability and contribution to this class. It was a very good class [Data Mining using R] and I enjoyed it and would recommend others to take it.” – Etienne Nzabarushiman, University of Arkansas for Medical Science
“This is the best online course I have ever taken. Very well prepared. Covers a lot of real-life problems. Good job, thank you very much!”

Elena Rose