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Schools / Wilmington University / Associate of Science in Data Analytics

Associate of Science in Data Analytics at Wilmington University, for about $18,735.

18 of 60 credits coverable through affordable, accredited online courses and exams ($297); 42 earned at Wilmington University (~$18,438 tuition) — about ~$8,000 less than full price.

Where the 60 credits come from

60 cr total
Covered by online courses 18 cr No match yet 27 cr Take at Wilmington University 15 cr
Online courses & exams
$297
6 courses · ~13 wks at 15 hrs/wk
At Wilmington University
~$18,438
42 cr at ~$439/cr
You keep
~$8,000
vs. ~$26,340 at the school's rate

Requirements & coverage

Every requirement in the published program. Sign up free to see the exact courses and exams for each.
CTA 326 Integrating Excel into Business Problem Solving
No match yet 0 / 3 cr
ECO 105 Fundamentals of Economics
No match yet 0 / 3 cr
ENG 121 English Composition I
Covered 3 / 3 cr
ENG 122 English Composition II
Covered 3 / 3 cr
ENG 131 Public Speaking
Covered 3 / 3 cr
HIS 381 Contemporary Global Issues
No match yet 0 / 3 cr
MAT 205 Introductory Survey of Mathematics
No match yet 0 / 3 cr
PHI 100 Introduction to Critical Thinking
No match yet 0 / 3 cr
PSY 101 Introduction to Psychology
Covered 3 / 3 cr
Natural Science Elective
Covered 3 / 3 cr
MAT 312 Business Statistics
No match yet 0 / 3 cr
CSC 419 Python for Data Science
No match yet 0 / 3 cr
CSC 345 Database Foundations
No match yet 0 / 3 cr
BBA 430 Data Visualization
No match yet 0 / 3 cr
CSC 414 Ethics for Computer Science
No match yet 0 / 3 cr
CSC 400 System Analysis and Design
No match yet 0 / 3 cr
CSC 395 Intro to Data Science
No match yet 0 / 3 cr
CSC 403 Predictive Analytics and Data Mining
No match yet 0 / 3 cr
ISM 420 Data Modeling and Warehousing
No match yet 0 / 3 cr
Free Elective (FYE 101 for students with fewer than 16 transfer credits)
Covered 3 / 3 cr
The full plan names each course and exam — provider, credits, order — plus a registrar one-pager. Free to build; your pace and existing credits sharpen the numbers.
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