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

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

Earn a BS degree in Data Science Analytics from TESU and be trained in predictive modeling, forecasting, customer segmentation, data visualization and risk analysis.
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Overview

Bachelor of Science in Data Science and Analytics

Looking to earn a BS degree (or perhaps a second one) that will attract the attention of employers?

Earn a Bachelor of Science (BS) degree from Thomas Edison State University’s Heavin School of Arts and Sciences (TESU) through a curricular partnership with the The Institute for Statistics Education at Statistics.com. This innovative BS degree in Data Science Analytics from TESU will train you in predictive modeling, forecasting, customer segmentation, data visualization and risk analysis.

The data science component (area of study – both core and elective courses) is taught online at Statistics.com. The General Education and electives required by the program are completed via online courses and other credit earning options offered by TESU. TESU specializes in awarding credit for demonstrated college-level competencies. You may be able to earn substantial credit award based on your prior learning and college-level expertise.
Learn more here

Bachelor’s to Master’s Program

TESU undergraduate students can earn up to 12 graduate-level credits that can apply to both their bachelor’s and master’s degree program.
Graduate courses taken as an undergraduate student:

  • DSI-601 or DSI 604 Predictive Analytics 1- Machine Learning Tools (using either R or Python)
  • DSI 602 or DSI 605 Predictive Analytics 2 – Neural Nets and Regression (using either R or Python)
  • DSI-603 or DSI-606 Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules (using either R or Python)
  • DSI-510 Forecasting

Please contact your academic advisor for more information. You can make an appointment with an Academic Advisor to discuss your eligibility here

NOTE: This degree program, including all required coursework, is not eligible for federal financial aid.

Bachelor’s to Master’s Inquiry Form

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

Who This Degree Serves

Data Scientist is the #1 job ranked by Glass Door four years in a row. If you serious about this profession, earn a BS or an MS degree that will attract the attention of potential employers. Related job titles include:
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Statistician
  • Researcher
  • IT Professional

Learning Outcomes

Upon completion of the program, students will be able to:
  • Utilize key technologies in data science and analytics, including data mining, machine learning, visualization techniques, predictive modeling and statistics
  • Apply knowledge of statistical data analysis and quantitative modeling techniques to solve real world problems

Prerequisites

Introductory Statistics for College Credit

Introductory Statistics for College Credit

This course will teach you the equivalent of a semester course in introductory statistics.
Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CEU
Class Start Dates: May 7, 2021, Jun 4, 2021, Jul 2, 2021, Aug 6, 2021, Sep 3, 2021, Oct 1, 2021, Nov 5, 2021, Jan 7, 2022, Feb 4, 2022, Mar 4, 2022, Apr 1, 2022, May 6, 2022

Required Courses

Thomas Edison State University

The following courses will be required for the core area of study:

Forecasting Analytics

Forecasting Analytics

This course will teach you how to choose an appropriate time series model: fit the model, conduct diagnostics, and use the model for forecasting.
Topic: Analytics, Prediction/Forecasting | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Nov 12, 2021
Interactive Data Visualization

Interactive Data Visualization

This course will teach you the principles of the visual display of data both for presentation and analysis data.
Topic: Analytics, Data Exploration | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Nov 12, 2021, Mar 11, 2022, Jul 8, 2022, Nov 11, 2022
Introduction to Network Analysis

Introduction to Network Analysis

This course will teach you a mix of quantitative and qualitative methods for describing, measuring, and analyzing social networks.
Topic: Analytics, Data Exploration | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Sep 10, 2021, Mar 11, 2022, Sep 9, 2022
Optimizing with Linear Programming

Optimization with Linear Programming

This course will teach you the use of mathematical models for managerial decision making and covers how to formulate linear programming models where multiple decisions need to be made while satisfying a number of conditions or constraints.
Topic: Data Science, Operations Research | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Jan 14, 2022, Jul 8, 2022
Predictive Analytics 1 – Machine Learning Tools

Predictive Analytics 1 – Machine Learning Tools

This online course introduces the basic paradigm of predictive modeling: classification and prediction.
Topic: Analytics, Prediction/Forecasting | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: May 14, 2021, Sep 10, 2021, Jan 14, 2022, May 13, 2022, Sep 9, 2022
Predictive Analytics 2 – Neural Nets and Regression

Predictive Analytics 2 – Neural Nets and Regression

As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics to visualize and explore predictive modeling.
Topic: Analytics, Prediction/Forecasting | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Nov 12, 2021, Mar 11, 2022, Jul 8, 2022
Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules

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

This course will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
Topic: Analytics, Prediction/Forecasting | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: May 14, 2021, Sep 10, 2021, Jan 14, 2022, May 13, 2022

Elective Courses

Thomas Edison State University

You will be able to choose from the following electives to support your degree program.

Financial Risk Modeling

Financial Risk Modeling

This course will teach you how to model financial events that have uncertainties associated with financial events.
Topic: Analytics, Operations Research | Skill: Intermediate, Advanced | Credit Options: ACE, CAP, CEU
Class Start Dates: Jun 11, 2021, Jun 10, 2022
Integer and Nonlinear Programming and Network Flow

Integer and Nonlinear Programming and Network Flow

This course will teach you a number of advanced topics in optimization: how to formulate and solve network flow problems; how to model and solve optimization problems; how to deal with multiple objectives in optimization problems, and techniques for handling optimization problems.
Topic: Analytics, Operations Research | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Sep 10, 2021, Sep 9, 2022, Sep 8, 2023
Python for Analytics

Python for Analytics

This course will teach you the basic Python skills and data structures – how to load data from different sources and aggregate it, and how to analyze and visualize it to create high-quality products.
Topic: Analytics, Using Python | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Nov 12, 2021, Mar 11, 2022, Jul 8, 2022, Nov 11, 2022
R Programming - Introduction Part 1

R Programming – Introduction Part 1

This course provides an easy introduction to programming in R.
Topic: Data Science, Using R | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: May 14, 2021, Sep 10, 2021, Jan 14, 2022, May 13, 2022
Regression Analysis

Regression Analysis

This course will teach you how multiple linear regression models are derived, assumptions in the models, how to test whether data meets assumptions, and develop strategies for building and understanding useful models.
Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: May 7, 2021, Oct 1, 2021
Risk Simulation and Queuing

Risk Simulation and Queuing

This course will teach you modeling technique making decisions in the presence of risk or uncertainty, including risk analysis using Monte Carlo simulation, queuing theory for problems involving waiting lines, and decision trees for analyzing problems with multiple discrete decision alternatives.
Topic: Analytics, Operations Research | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: May 14, 2021, Nov 12, 2021, May 13, 2022
Spatial Statistics for GIS Using R

Spatial Statistics for GIS Using R

This course will teach you spatial statistical analysis methods to address problems in which spatial location. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo.
Topic: Statistics, Analytics, Data Exploration, Statistical Modeling, Using R | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Jan 7, 2022, Jul 8, 2022
Mapping in R Course

SQL – Introduction to Database Queries

This course will teach you how to extract data from a relational database using SQL and merge data into a single file in R so that you can perform statistical operations.
Topic: Data Science, SQL | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jul 9, 2021, Nov 12, 2021, Mar 11, 2022

What Our Students Say​

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This was a great class. I learned a lot and enjoyed the format. The lessons, assignments, feedback, and discussions were all informative. I appreciated the professor's efforts to include references to web sites, journal articles, and books that will be very useful in the future. Thank you!

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Frank Voss
United States Geological Survey
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.

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Etienne Nzabarushimana
University of Arkansas for Medical Science

Tuition and Fees

Earn a Bachelor of Science (BS) degree in Data Science Analytics from TESU in partnership with Statistics.com. The core curriculum for 12 courses is $5,700 if you pay in full, or
$5,950 pay as you enroll.

Apply to Program

Frequently Asked Questions

How do I enroll in a course?

In most courses, you are able to register for any course until the course start date.

Once you decide which course you want to take, click the ‘Enroll Now’ button and follow the purchasing process. Once you have purchased the course, you are enrolled in the class date you have selected.

You will receive a personal email message confirming your registration in the course. A second email is sent to you three days before the course start date with instructions to access the course in our Learning Management System (LMS).

Please see our knowledge center for more information.

Are courses eligible for CEU?

Many of the courses at The Institute for Statistics Education have been recommended for C.E.U.’s, based on the length of the course (typically 5.0 CEUs for 4-week courses).

Are Statistics.com courses certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information, go to https://www.schev.edu/

Are courses eligible for college credit?

Many of the courses at The Institute for Statistics Education have been recommended for academic credit by The American Council on Education (ACE). ACE-accredited courses can be transferred to another educational institution that accepts ACE credit.

Are the certificate programs accredited?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV).

In addition, many of the courses at The Institute for Statistics Education have been recommended for credit by The American Council on Education (ACE), INFORMS, and can be used as CEUs in many programs.

The American Council on Education (ACE) approved credit for many of the required courses for our certificate programs and can be transferred to another educational institution that accepts ACE credit.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

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