B.S. in Data Science and AnalyticsArea of Study

The 32 credits of Core and Elective coursework, taught online by Learn Statistics — the same curriculum, the same ACE credit recommendations, one place to browse, buy and start.

What the Area of Study is made of

credits

STA-2010 Principles of Statistics: 3; Taken at TESU, before you start here.
7 Core courses: 20; Taught here. Every one required.
4 Electives, from 8: 12; Taught here. You pick which.
Total for the Area of Study: 35

Browse courses in the store See the courses and the order

100% online: Asynchronous — no scheduled class times.
Expert instructor support: A subject instructor is attached to every course.
TA support: Teaching assistants alongside them, for day-to-day help.

Why this page exists

Same courses, new home.

If you’re a TESU student pursuing the B.S. in Data Science and Analytics, the Area of Study coursework is delivered directly by Learn Statistics, powered by UpThink Edutech Services — TESU’s data science course partner. Courses are evaluated and recommended for credit through the American Council on Education’s (ACE) College Credit Recommendation Service (CREDIT®). This page is where you go to browse, purchase, and take the courses.

This page is your one stop for that: review the Core and Elective courses below, then head to the Learn Statistics store to enrol — as a bundle or one course at a time — and get access to your Canvas course shell for the term you choose.

Good to know before you enrol

Courses taken through Learn Statistics are not eligible for federal financial aid and do not count toward TESU’s residency requirement. You’ll pay TESU tuition for your general education and elective coursework, and separate Learn Statistics tuition for your Area of Study courses.

How it works

From TESU to your Canvas course, in four steps.

The path is designed to feel familiar if you’ve enrolled in TESU online courses before.

1
Start on the TESU program page
Review the B.S. in Data Science and Analytics requirements, then follow the link to this page for your Area of Study courses.
2
Choose your courses here
Review the Core courses and pick 4 of 8 Electives below to match your interests and the credits you still need.
3
Buy on the Learn Statistics store
Create an account and purchase your courses — as a bundle or individually — and pick your preferred start date.
4
Start learning in Canvas
You'll get access to your Canvas course shell ahead of your selected start date, with the same asynchronous, instructor-guided format.

Plan your path

Which courses you need, and the order to take them.

35 credits in total

This mirrors the Area of Study section of the TESU catalog exactly. Several courses build on skills from another, so the order matters — every course below says what it waits on, and most wait on nothing.

Take this first, at TESU

STA-2010Principles of Statistics

3 credits · Thomas Edison State University

Take this at TESU before any course below that requires it. It is not sold in our store, and no course of ours substitutes for it — including any with a similar name.

7courses have nothing else to take first

Once STA-2010 is behind you, you can start any of these, in any order, and finish them whenever suits your schedule.

From the 7 Core courses

Optimization — Linear Programming
Introduction to Network Analysis
Interactive Data Visualization

From the 8 Electives

SQL — Introduction to Database Queries
Introduction to R Programming
Python for Analytics
Risk Simulation and Queuing

The 7 Core courses

All required

20 credits · 6 upper-division

1
Predictive Analytics I — Machine Learning Tools
Upper-division
Principles of Statistics
2
Predictive Analytics II — Neural Nets and Regression
Upper-division
Predictive Analytics I — Machine Learning Tools
3
Predictive Analytics III — Dimension Reduction, Clustering and Association Rules
Upper-division
Predictive Analytics I — Machine Learning Tools
4
Optimization — Linear Programming
Upper-division
No prerequisite
5
Introduction to Network Analysis
Upper-division
No prerequisite
6
Forecasting Analytics
Principles of Statistics
7
Interactive Data Visualization
Upper-division
No prerequisite

The 8 Electives

Choose 4 of 8

12 credits · 4 upper-division

8
SQL — Introduction to Database Queries
Upper-division
No prerequisite
9
Regression Analysis
Upper-division
Principles of Statistics
10
Introduction to R Programming
No prerequisite
11
Python for Analytics
No prerequisite
12
Spatial Statistics with Geographic Information Systems
Upper-division
Introduction to R Programming
13
Integer and Nonlinear Programming and Network Flow
Optimization — Linear Programming
14
Risk Simulation and Queuing
Upper-division
No prerequisite
15
R Programming Intermediate
Introduction to R Programming

TESU has its own course, STA-2010: Principles of Statistics, which students are expected to complete before starting these.

“Upper-division” indicates courses designated as such by the American Council on Education (ACE).

Course availability and start dates are confirmed at checkout in the Learn Statistics store.

When you're ready

Buy the whole Area of Study, or one course at a time.

Either way you finish in the Learn Statistics store, where you choose a start date and get your Canvas access for that term.

Most students choose this

Full Area of Study bundle

All 7 Core courses plus your 4 chosen Electives, purchased together with one start date and one Canvas cohort.

View bundle pricing

Individual courses

Buy one course at a time and space them out across terms — useful if you’re transferring in credit for some requirements already.

Browse individual courses

You’ll need an account to buy courses and to reach Canvas. Making it now takes a minute and saves one at checkout.

Create your account

FAQ

Common questions

Does financial aid cover these courses?

No. Learn Statistics courses are not eligible for federal financial aid, and they do not count toward TESU’s residency requirement. You’ll pay TESU tuition separately for your general education and elective coursework.

Will my credit still transfer into my TESU degree?

Yes. Our Core and Elective courses are evaluated and recommended for credit through the American Council on Education’s (ACE) College Credit Recommendation Service (CREDIT®), the same pathway used previously — so credit transfers into your TESU degree audit the same way.

Do I have to take STA-2010 at TESU first?

Yes. STA-2010: Principles of Statisticsis TESU’s own course and is expected to be complete before you start the courses on this page. It is not sold in the Learn Statistics store and no course of ours substitutes for it, including any with a similar name — register for it through TESU in the usual way.

How do I get into my course in Canvas?

Once you complete your purchase in the Learn Statistics store and select a start date, you’ll receive access to your Canvas course shell ahead of that term’s start.

Can I mix and match Core and Elective courses across terms?

Yes — you can buy the full bundle up front or purchase courses individually and spread them across multiple start dates, whichever fits your schedule.

Who do I contact with questions about a specific course?

Reach the Learn Statistics team at support@learnstatistics.org. For questions about your overall TESU degree plan, contact your TESU academic advisor. See “Which email do I use?” below for more specific addresses.

Which email do I use?

We staff a few dedicated addresses so your question reaches the right team faster:

support@learnstatistics.org: General questions — course content, Canvas access, getting started
admissions@learnstatistics.org: Before you buy — which courses to pick, sequencing and prerequisites, bundle vs. individual
billing@learnstatistics.org: Payments, receipts and refunds
credits@learnstatistics.org: ACE credit recommendation and transcript questions