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

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 Statistics.com.
Apply to Program
  • Overview
  • Learning Outcomes
  • Prerequisites
  • Courses
  • Student Stories
  • Tuition
  • FAQs
  • Contact
  • Additional Info
Menu
  • Overview
  • Learning Outcomes
  • Prerequisites
  • Courses
  • Student Stories
  • Tuition
  • FAQs
  • Contact
  • Additional Info

Overview

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 the Institute for Statistics Education at 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.edu/heavin/grad-certificates/data-analytics.

Thomas Edison State University
MS Degree
Deep Dive in Subject Matter
Flexible Schedule
Online Course
Teacher Assistant Support
Expert Instructors

Who This Degree Serves

This Master of Science in Data Science and Analytics degree program is delivered completely online and is structured around the unique needs of working adults.

Learning Outcomes

  • Identify appropriate statistical and machine learning methods to gain value from data, especially Big Data, in different business and organizational contexts.
  • Use software or programming languages to develop statistical and machine learning models to gain insight from data and make predictions.
  • Interpret the results of statistical and machine learning models.
  • Apply software or programming languages to explore relationships in data, and prepare data for analysis.
  • Specify the decisions (including automated decisions) that should result from the analytic methods.

Prerequisites

Applicants to graduate degree programs must apply directly to Thomas Edison State University here and follow the criteria for admission here

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Required Courses

Thomas Edison State University
Degree Requirements Credits
DSI-505: Programming 1: Python
– or –
DSI-506: Programming 1: R
(3)
DSI-507: Programming 2: Python
– or –
DSI-508: Programming 2: R
(3)
DSI-530: SQL – Introduction to Database Queries (3)
DSI-601: Predictive Analytics 1 – Machine Learning Tools*: Python
– or –
DSI-604: Predictive Analytics 1 – Machine Learning Tools: R
(3)
DSI-602: Predictive Analytics 2 – Neural Nets and Regression*: Python
– or –
DSI-605: Predictive Analytics 2 – Neural Nets and Regression: R
(3)
DSI-603: Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules: Python
– or –
DSI-606: Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules: R
(3)
DSI-622: Interactive Data Visualization (3)
DSI-700: Applied Predictive Analytics (Capstone) (3)
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Elective Courses

Thomas Edison State University
Elective Requirements Credits
DSI-509: Text Mining (3)
DSI-611: Natural Language Processing (NLP) (3)
DSI-613: Anomaly Detection (3)
DSI-510: Forecasting Analytics (3)
DSI-614: Customer Analytics in R (3)
DSI-640: Spatial Statistics with Geographic Information Systems (3)
DSI-511: Introduction to Network Analysis (3)
DSI-608: R Programming Intermediate (3)
DSI-610: Optimization – Linear Programming (3)
DSI-625: Risk Simulation and Queuing (3)
DSI-621: Integer and Nonlinear Programming and Network Flow (3)
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What Our Students Say​

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Left Square Qoute

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.

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Etienne Nzabarushimana
University of Arkansas for Medical Science
Left Square Qoute

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!

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Elena Rose
Data Scientist, NinthDecimal

Tuition and Fees

Please visit the Thomas Edison State University (TESU) webpage on the Master’s program for more information on the program, tuition, and to apply.

Apply to Program

Frequently Asked Questions

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Phone: +1 (571) 281-8817 Email: ourcourses@statistics.com Mailing address: The Institute for Statistics Education 2107 Wilson Blvd Suite 850 Arlington, VA 22201  

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About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

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The Institute for Statistics Education
2107 Wilson Blvd
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Arlington, VA 22201
(571) 281-8817

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