Earn a Master's of Science (MS) Degree in
Data Science and Analytics from TESU in Partnership with Statistics.com

MS Degree in Data Science and Analytics

(Choose either R or Python track)

Looking to earn an MS degree that will attract the attention of employers?  

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

Program Content

This innovative MS degree in Data Science Analytics from TESU will train you in predictive modeling, forecasting, customer segmentation, data visualization, and risk analysis.

The program is completed via online courses offered by TESU. 

Apply to Thomas Edison State University here.

Topics covered:

Required (12 courses)

Electives (4 courses)

-Programming (Python or R)

-Forecasting Analytics

-SQL Database Queries

-Text Mining

-Visualization

-Natural Language Processing

-Predictive Analytics:Machine Learning Tools

-Network Analysis

-Neural Nets and Regression

-Anomaly Detection

-Clustering, Recommender Systems

-Deep Learning

   and Dimension Reduction

-Spatial Statistics

-Capstone

-Customer Analytics

Data Science and Analytics Program Outcomes

1. Identify appropriate statistical and machine learning methods to gain value from data, especially Big Data, in different business and organizational contexts.

2. Use software or programming languages to develop statistical and machine learning models to gain insight from data and make predictions.

3. Interpret the results of statistical and machine learning models.

4. Apply software or programming languages to explore relationships in data, and prepare data for analysis.

5. Specify the decisions (including automated decisions) that should result from the analytic methods. 

Tuition and Fees:  $5000  

The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option to pay on a course-by-course basis:

  • Pay for your program upon enrollment:  $5000
  • Pay as you go: $
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Detailed Fees Description

TESU MS Program in Data Science and Analytics (Partnership with Thomas Edison State University)

Who is this program for? This program is aimed at working adults who want to learn to use the tools and problem-solving skills of statistics and analytics in the rapidly growing field of data science.

What is the admission process? Apply directly to TESU to be admitted into the MS program.

Can I get transfer credits? Yes - although the maximum number of total credits you may transfer into the MS degree program is 12; regardless the route (ACE Credit, credit for PASS certificate, transfer of equivalent courses from other accredited graduate programs, etc.)  

Are these the same courses that I took at Statistics.com, either for a Statistics.com certificate program, or for a TESU Bachelor’s program? The topics are similar, but the courses are at a graduate level and are structured a bit differently:

  • Each course is 8 weeks long versus 4 weeks for the undergraduate BS.
  • Each course has a mentored project associated with it at an MS level intensity
  • To access the courses, you will log into the TESU learning management system (LMS)
  • Tuition is paid directly to TESU
  • The courses are officially TESU courses (not Statistics.com courses that offer a credit transfer via ACE Credit)

If I have already taken similar courses at Statistics.com, will I be able to take the TESU Masters courses at a faster rate? You probably will be able to progress through the topic faster than if you were studying it for the first time, and hence you may be able to schedule a heavier load of courses and move through the program more quickly.

Will I be able to get credit for the courses I have taken at Statistics.com? Via the American Council on Education (ACE) credit recommendation service, you can transfer graduate-level Statistics.com courses that have direct counterparts in the TESU MS Program. The courses to which this applies are

  • Risk Simulation and Queuing transfers as DSI-620*
  • Integer and Nonlinear Programming and Network Flow (also known as Advanced Optimization) transfers as DSI-621* 

I have completed a Statistics.com PASS certificate.  Can I get credit for that certificate in the MS at TESU? TESU will grant up to six (6) graduate credits* for students who complete the following:

  • If you complete the Analytics for Data Science Certificate at Statistics.com, you can get credit for Forecasting Analytics (DSI-510) and Risk Simulation and Queuing (DSI-620).
  • If you complete the Programming for Data Science Certificate – PYTHON,  you can get credit for SQL (DSI-530) and Forecasting Analytics (DSI-510 provided that you have taken this course as part of your program)and you may be able to waive intro python programming courses (up to an additional 6 credits)
  • If you complete the Programming for Data Science Certificate – R, you can get credit for SQL (DSI-530) and Forecasting Analytics (DSI-510 provided that you have taken this course as part of your program)and you may be able to waive intro python programming courses (up to an additional 6 credits)

I am a TESU student in the Bachelors Program in Data Science Analytics - the course topics are similar to those in the Master’s Program.  Can I get credit for those? Students can take the graduate version of Predictive Analytics 1, 2, 3 (DSI-601/602/603 or DSI-604/605/606) and Forecasting (DSI-510) at the end of their undergraduate degree program; paying the undergraduate tuition rate. If approved for entry into the grad program, students will then have already taken 12 of the necessary 36 credits needed to earn an MS degree – saving both time and money.  https://www.tesu.edu/academics/bachelors-to-masters-program

I am already proficient in programming (R/Python, etc.).   I took them at Statistics.com or elsewhere. Do I need to take them again? Will I get credit for those courses? ANY student who is proficient in programming wouldn’t have to take the intro programming courses - TESU will waive DSI-505/507 or DSI-506/508. However, you will have to take electives in their place; the requirements for the degree is 36 credits. 

*Please note: The maximum number of total credits you may transfer into the MS degree program is 12; regardless the route (ACE, credit for PASS certificate, transfer of equivalent courses from other accredited graduate programs, etc.)  

*The maximum number of total credits that can be transferred into the Graduate Certificates at TESU is 6. (Student must complete 50% of the credits at TESU as a registered graduate student and may not transfer in more than 6 credits.)

 

 

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