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

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

Required Courses

Thomas Edison State University

Elective Courses

Thomas Edison State University

What Our Students Say​

quote_square_left

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.

quote_square_right
Etienne Nzabarushimana
University of Arkansas for Medical Science
quote_square_left

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!

quote_square_right
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

Contact Us

Phone: +1 (571) 281-8817

Email: ourcourses@statistics.com

Mailing address:
The Institute for Statistics Education
4075 Wilson Blvd, 8th Floor 
Arlington, VA 22203

 

Visit our knowledge base and learn more.

FAQs + Knowledge Base

Latest Blogs

Healthcare Analytics: Exploration versus Confirmation
Perhaps the most active application of analytics and data mining is healthcare. This week we look at one success story, the use of machine learning to predict diabetic retinopathy, one story of disappointment, the use of genetic testing in a puzzling disease, and a basic dichotomy in statistical...
Read more »
Matching Algorithms
Some applications of machine learning and artificial intelligence are recognizably impressive - predicting future hospital readmission of discharged patients, for example, or diagnosing retinopathy. Others - self-driving cars, for example - seem almost magical. The matching problem, though, is one where your first reaction might be "What's so...
Read more »
Job Spotlight: Data Scientist
Data science is one of a host of similar terms.  “Artificial intelligence” has been around since the 1960’s and “data mining” for at least a couple of decades.  “Machine learning” came out of the computer science community, and “analytics,” “data analytics,” and “predictive analytics” came out of the...
Read more »
1 2 … 12

Need More Information

By submitting your information, you agree to receive email communications from statistics.com. All information submitted is subject to our privacy policy. You may opt out of receiving communications at any time.