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.
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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.

The program is completed via online courses offered by TESU.

Apply to Thomas Edison State University here.

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 provide official transcripts, a current resume, a statement of background and goals and two letters of reference. Applications will be reviewed to select students who best demonstrate the following criteria:

  • All applicants must have a baccalaureate degree from a regionally accredited college or university. View transcript requirements.
  • Applicants to degree programs must provide a current resume with their completed application.
  • Applicants to degree programs must provide two letters of recommendation with their completed application. View letter of recommendation requirements.
  • All statements of background and goals must be completed and submitted with a completed application and will be evaluated critically and used to assess an applicant’s ability to succeed in and benefit from the graduate program. View statement of background and goals requirements.
  • All appropriate essay questions must be completed and submitted with a completed application; all essays are evaluated critically and used to assess a student’s ability to succeed in and benefit from the graduate program. View essay questions and requirements.
  • The Test of English as a Foreign Language (TOEFL) www.ets.org/toefl is required of all applicants whose primary language is not English. A score of 550 on the written; 213 on the computer version; or 79 on the Internet version is required.

Required Courses

See TESU website for latest information

Python Track:

Programming 1: Python

Programming 2: Python

SQL – Introduction to Database Queries

Predictive Analytics 1 – Machine Learning Tools: Python

Predictive Analytics 2 – Neural Nets and Regression: Python

Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules: Python

Interactive Data Visualization

Applied Predictive Analytics (Capstone)

R Track:

Programming 1: R

Programming 2: R

SQL – Introduction to Database Queries

Predictive Analytics 1 – Machine Learning Tools: R

Predictive Analytics 2 – Neural Nets and Regression: R

Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules: R

Interactive Data Visualization

Applied Predictive Analytics (Capstone)

Elective Courses

You will be able to choose four of the following electives:

Text Mining

Forecasting Analytics

Introduction to Network Analytics

R Programming Intermediate

Optimization – Linear Programming

Natural Language Processing

Deep Learning

Anomaly Detection

Customer Analytics in R

Integer & Nonlinear Programming and Network Flow

Regression Analysis

Risk Simulation and Queuing

Spatial Statistics with Geographic Information Systems

What Our Students Say​

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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
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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

For more information on the program and the price structure – and to apply, visit  to Thomas Edison State University here.

Apply to Program

Frequently Asked Questions


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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

 

Contact Rowan University Global Learning

 (856) 256-4747

global@rowan.edu
 
Locations

Enterprise Center
225 Rowan Boulevard
Glassboro, NJ 08028

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 Camden Campus
129 North Broadway
Camden, NJ 08102

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Start Dates & Application Deadlines

The chart below details available entry terms for the Computational Data Analytics Certificate of Graduate Study program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.

Term Start date Application Deadline
Spring 2020 01/21/2020 11/01/2019
Summer 2020 05/19/2020 04/01/2020
Fall 2020 09/01/2020 07/01/2020

Do you provide custom training services?

We provide custom training services that can include, but is not limited to: 

  • Custom curriculum 
  • Custom courses and materials
  • Live training on-site
  • Live training via webinar
  • Special tuition pricing for multiple-student volume

Contact us to see how we can help you meet your training needs.

What markets or industries are you most proficient?

We work with organizations of all types across many industries: 

  • Pharmaceuticals
  • Healthcare
  • Higher Education
  • Mining and Minerals
  • Oil and Energy
  • Transportation
  • Telecomm
  • Just to name a few…

Contact us to learn more about how we can help you with your business needs.

What type of companies and organizations do you work with?

We work with organizations of all types across many industries: 

  • Fortune 500 Corporations
  • Small-to-Medium Enterprises
  • Not-for-Profit Associations
  • Government Agencies
  • Academic Institutions

Contact us to learn more about how we can help you with your business needs.

What is your satisfaction guarantee and how does it work?

We offer a “Student Satisfaction Guarantee​” that includes a tuition-back guarantee, so go ahead and take our courses risk free. That’s our commitment to student satisfaction. Students may cancel, transfer, or withdraw from a course under certain conditions. If you’re not satisfied with a course, you may withdraw from the course and receive a tuition refund.

Please see our knowledge center for more information.

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.

  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.

Please see this page for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is there a fee for a Record of Mastery Specialization?

Successfully complete the courses listed for Mastery Series and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

To receive your Record of Mastery Series Specialization, there is a recording fee of $65.

Please see our knowledge center for more information.

How does the Mastery Series program work?

The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed for any specialization and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

Please see our knowledge center for more information.

What types of courses are offered in Mastery Series?

Courses in the Mastery Series are standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects.

Please see our knowledge center for more information.

I need to transfer credit to my college or university.

ACE CREDIT’s College and University Network is a group of more than 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs.  Check this list to see if your school is already part of the ACE CREDIT College and University Network.

Please see our knowledge center for more information.

Is my school in the ACE CREDIT College and University Network?

Check this list on ACE’s website to see if your school is already part of the ACE CREDIT College and University Network.

Please see our knowledge center for more information.

Who approves my courses for college credit?

While the American Council on Education’s College Credit Recommendation Service (ACE CREDIT) has evaluated and recommended college credit for several courses offered by Statistics.com, the decision to accept specific credit recommendations is up to each institution to which you are applying credit.

Who is the American Council on Education (ACE)?

The American Council on Education’s College Credit Recommendation Service (ACE CREDIT) has evaluated and recommended college credit for several courses offered by The Institute for Statistics Education at Statistics.com.

ACE CREDIT’s College and University Network includes 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs. The decision to accept specific credit recommendations is up to each institution.

Please see our knowledge center for more information.

How do I find you on the ACE website?

The Institute for Statistics Education eligibility for college credit courses through the American Council on Education (ACE) can be found here on their website.

Please see our knowledge center for more information.

How many courses are ACE college credit eligible?

The Institute for Statistics Education offers 29 courses that are eligible for college credit through the American Council on Education (ACE).

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

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