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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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.

BS Degree
Flexible Schedule
Deep Dive in Subject Matter

100% Online
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 are 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 Credit

This course will teach you the equivalent of a semester course in introductory statistics.

Required Courses

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

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, CEU

Interactive Data Visualization with Tableau

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, CEU

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, CEU

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, CEU

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, CEU

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, CEU

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, CEU

Elective Courses

Here are some of the courses you will be able to choose from the following electives to support your degree program.

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, CEU

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, CEU

Introduction to R Programming

This course provides an easy introduction to programming in R.

Topic: Data Science, Using R | Skill: Introductory | Credit Options: ACE, CEU

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, CEU

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, CEU

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, CEU

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!

Frank Voss

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

Etienne Nzabarushimana

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 11 courses is $6,499 if you pay in full, or $7,002 if you choose the tuition installment plan.

Tuition Payment Options

$6,499 one-time fee [best value]

$389/month for 18 months

$559-$999 per course [pay as you go]

*See each course syllabus page for additional text purchases, if required.

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Frequently Asked Questions

How do I enroll in a course?

In most courses, you are able to register for any course until 2 days before 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 Base for more information.
Are courses eligible for CEU?

Many of the courses at Statistics.com 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?

Many of the courses at Statistics.com 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 courses eligible for college credit?

Many of the courses at Statistics.com 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?

Many of the courses at Statistics.com have been recommended for credit by The American Council on Education (ACE), 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.

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

Bachelor of Science in Data Science and Analytics

Who This Degree Serves

Learning Outcomes

Prerequisites

Required Courses

Elective Courses

Frank Voss

Etienne Nzabarushimana

Tuition and Fees

Tuition Payment Options

Frequently Asked Questions

How do I enroll in a course?

Are courses eligible for CEU?

Are Statistics.com courses certified?

Are courses eligible for college credit?

Are the Certificate Programs accredited?