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Indiana Tech Transfer Credit · Computer Science 251

CS 3800 – Data Structures & Algorithms at Indiana Tech.

Earn this Indiana Tech equivalency through UPI Study's Data Structure and Algorithms — 3 ACE & NCCRS Approved credits, fully online, self-paced.

The Computer Science 251 syllabus is available to enrolled or registered students . Sign in to your UPI Study account to download it instantly — or enroll today to get access.

🎓3 College Credits ✓ACE & NCCRS Approved ⏱️Self-paced · 28–30 days avg.
Starts at $89/month · cancel anytime · or buy just this course for $250
Data Structure and Algorithms — transfers as CS 3800 – Data Structures & Algorithms at Indiana Tech
Articulation Agreement · Officially recognized
UPI Study × Indiana Tech
You complete at UPI Study
Data Structure and Algorithms
Computer Science 251 · 3 ACE & NCCRS Approved credits
Transfers as
Indiana Tech recognizes as
CS 3800 – Data Structures & Algorithms
3 transcript credits · Internal ref: CS 3800
HLC accredited · Transcript sent directly to Indiana Tech
📋 View full equivalency chart →
🎓 Credit
3 cr
Transferable to Indiana Tech
⏱️ Speed
28–30
Days average to complete
✅ Pass rate
97%
Student completion rate
What you'll learn

A full semester of data structure and algorithms, at your own pace.

🎯Learning outcomes
  • ✓Implement and use Java programming by configuring a coding environment, constructing Java statements, implementing loops, and effectively debugging Java programs
  • ✓Discuss object-oriented design principles, including inheritance, polymorphism, and encapsulation, and apply these concepts to design and implement complex Java programs
  • ✓Master data structures such as arrays, linked lists, trees, and queues, understanding their practical applications and implementing them efficiently in Java
  • ✓Analyze algorithms, including recursion and sorting algorithms, evaluate their performance, and apply to solve real-world problems
  • ✓Develop skills in text processing, graph data structures, memory management, and external memory techniques, ensuring they are well-equipped to handle diverse programming challenges in Java
  • ✓Design, implement, and analyze Java programs effectively via assignments and practical applications.
📚Major topics covered
Introduction to Java programming Object-oriented design principles Arrays & linked lists in Java Algorithm analysis & Big-O notation Recursion & recursive algorithms Stacks, queues & deques List & iterator abstract data types Trees & binary trees Priority queues & heaps Maps & hash tables Search trees: AVL, red-black & splay Sorting algorithms & selection Text processing & string algorithms Graph data structures & Dijkstra's algorithm Memory management & B-trees Java Collections Framework
Grading: 20% Quizzes · 30% Assignment · 50% Final Exam
Simple process

Three steps to Indiana Tech credit.

1
📝

Enroll & start instantly

Pay $250 once (or use any UPI Study subscription) and start learning today. No application, no waiting list.

2
🎯

Learn at your pace · Pass the final

Watch lessons, take quizzes, and pass the proctored final — fully online, on your schedule. Most students finish in 28–30 days.

3
🏆

Transfer to Indiana Tech

UPI Study sends your official transcript directly to Indiana Tech's registrar. Indiana Tech applies the equivalency: CS 3800 – Data Structures & Algorithms.

Pricing

Data Structure and Algorithms — two ways to enroll.

Get this course + every other UPI Study course with a subscription, or buy just this one for a one-time fee.

UPI Study subscription

Best if you plan to stack 3+ courses toward your Indiana Tech degree. All UPI Study courses included — including Data Structure and Algorithms.

Monthly
$89 /mo

Best if you finish in under 4 months

Choose Monthly
12 Months
$495 total

Save $573 vs paying monthly

Choose 12 Months
Lifetime
$599 once

Pay once — access forever

Choose Lifetime
Or just buy Data Structure and Algorithms on its own
Only need this one course?

Just Data Structure and Algorithms — one-time payment

Pay once, keep it forever. No subscription, no renewals. The simplest path if you only need this course to transfer to Indiana Tech.

  • ✓Lifetime access to Data Structure and Algorithms
  • ✓3 ACE & NCCRS Approved credits, transferable to Indiana Tech
  • ✓Self-paced — finish in 28–30 days or take longer
  • ✓Official transcript sent to Indiana Tech
$250
one-time payment
Lifetime access · this course only
Enroll & start today →
Savings Calculator

Stack more courses, save more.

Tap any credit amount below to see how much you'd save at Indiana Tech.

Select credit amount
Tuition saved vs Indiana Tech per-credit rate
$1,170
Credits transferred
30
Months to complete via UPI
15

Savings = credits × $490 (Indiana Tech's published online undergraduate per-credit rate). Indiana Tech credit awards are subject to their Office of the University Registrar review and policy.

Frequently asked questions

Everything about Data Structure and Algorithms → Indiana Tech.

📚 About Data Structure and Algorithms
What is Data Structure and Algorithms?
Data Structure and Algorithms is a college-level technology course covering core concepts and practical skills in the subject area. It is Computer Science 251 — worth 3 credit hours, carrying an NCCRS recommendation from NCCRS.
What technical background do I need?
No specific technical background is required to start. The course is structured to build from foundational concepts to practical application, making it accessible to students at any level.
Is this course self-paced?
Yes. The course is fully self-paced with no deadlines or fixed class times. Most students complete it in 28–30 days, but you can move faster or slower depending on your schedule.
How many college credits is this course worth?
This course carries an NCCRS recommendation for 3 semester credit hours. UPI Study courses follow the same evaluation standard used across thousands of colleges and universities.
Are there exams? How is grading done?
Yes — the course includes quizzes, an assignment, and a final exam. Your grade is weighted as follows: 20% Quizzes · 30% Assignment · 50% Final Exam. A score of 70 or above is required to pass.
How do I check if my university accepts UPI Study credits?
Check our Find My College directory . If your university recognizes NCCRS credit recommendations, UPI Study courses qualify. You can also book a free call with our team.
How does UPI Study compare to a traditional university course?
A traditional university course in this subject typically costs $500–$1,500+ per credit hour and requires fixed schedules, campus attendance, and semester timelines. UPI Study covers the same NCCRS-recommended content at $250 total , with no deadlines and no campus requirement.
Can international students take this course?
Yes. UPI Study courses carry an NCCRS recommendation — recognized by cooperating institutions in the U.S., Canada, the UK, and other countries. Students have submitted credits across 26+ countries.
🎯 About CS 3800 – Data Structures & Algorithms at Indiana Tech
Does Indiana Tech accept Data Structure and Algorithms as a direct equivalent to their CS 3800 – Data Structures & Algorithms?
Yes. Under the published transfer agreement between UPI Study and Indiana Tech, UPI Study's Data Structure and Algorithms is recognized as a direct named equivalent of Indiana Tech's CS 3800 – Data Structures & Algorithms — not just elective or GE bucket credit. This is the strongest form of transfer recognition.
Will this transfer with full named-course credit, or just as elective?
Full named-course credit. The MOU specifically lists Data Structure and Algorithms as transferring as CS 3800 – Data Structures & Algorithms — meaning it satisfies that specific course requirement on your Indiana Tech transcript, not a generic elective slot.
What if I've already taken CS 3800 – Data Structures & Algorithms at Indiana Tech or elsewhere?
If you've already received credit for CS 3800 – Data Structures & Algorithms, Indiana Tech typically applies UPI Study's Data Structure and Algorithms as elective credit instead (at the registrar's discretion). Check with your Indiana Tech advisor before enrolling to confirm placement.
How does this compare to taking CS 3800 – Data Structures & Algorithms directly at Indiana Tech?
The credit value is identical: 3 credits toward your Indiana Tech degree. UPI Study's course is self-paced and online ($89/month or $250 one-time), while Indiana Tech's subscription is $39/month — but UPI Study lets you finish faster and start without Indiana Tech enrollment. Many students complete UPI Study courses BEFORE enrolling at Indiana Tech to reduce overall program time.
Does Indiana Tech ever change which courses they accept as CS 3800 – Data Structures & Algorithms?
Equivalencies are reviewed periodically. The current published transfer agreement between UPI Study and Indiana Tech explicitly lists Data Structure and Algorithms → CS 3800 – Data Structures & Algorithms. We update this page whenever the agreement changes. If you've already completed the course and earned an NCCRS-recommended transcript, your credit recognition is generally honored even if future versions of the agreement change.
🔄 About transferring to Indiana Tech
How many UPI Study courses can I stack toward my Indiana Tech degree?
Indiana Tech accepts up to 75% of degree credit requirements as transfer credit — up to 90 credits for the bachelor's degree. 69 UPI Study courses are recognized by Indiana Tech under the Articulation Agreement, so you can stack a substantial portion of your degree before enrolling at Indiana Tech.
Do I need to enroll at Indiana Tech first?
No. You can take UPI Study courses with no Indiana Tech enrollment, no application, and no admission process. Take the course, earn the credit, then submit your transcript to Indiana Tech when you're ready.
How does the transcript reach Indiana Tech?
Once you complete Data Structure and Algorithms, UPI Study sends an official transcript in PDF format directly to the email address designated by Indiana Tech. Indiana Tech's registrar applies the agreed equivalency (CS 3800 – Data Structures & Algorithms) to your transcript. No third-party services are involved.
About this course

Understanding Data Structure and Algorithms for your Indiana Tech credit.

What is Data Structure and Algorithms?

Data Structure and Algorithms is the study of how to organize data in a computer and how to solve problems efficiently with that data. In this course, you learn Java programming along with tools like arrays, linked lists, trees, queues, stacks, and hash tables, then use them to write and analyze algorithms. The subject also includes Big-O notation, which helps you compare how fast or memory-heavy different solutions are.

How the course teaches you

Data Structure and Algorithms is delivered online with video lessons, quizzes, assignments, and a final exam, and the grading breakdown is 20% Quizzes, 30% Assignment, and 50% Final Exam. The course covers Java programming, arrays, linked lists, trees, queues, stacks, hash tables, recursion, sorting, and Big-O notation, then records the completed work on a transcript. Indiana Tech recognizes that transcript credit as CS 3800 – Data Structures & Algorithms, which is a named course equivalency in its catalog.

How it helps beyond the classroom

This course builds the kind of programming and problem-solving skills that matter in technical work, especially when you need to organize data, debug code, or compare algorithm performance. At Indiana Tech, the credit can fit into degree planning for programs such as the Associate of Science or Bachelor of Science, where CS 3800 – Data Structures & Algorithms may support progress toward the major requirements or elective space depending on the plan.

Skills you walk away with

Configure a Java coding environment and debug Java programsWrite Java statements, loops, and methodsApply object-oriented design with inheritance, polymorphism, and encapsulationImplement arrays, linked lists, stacks, queues, and deques in JavaAnalyze algorithms with Big-O notation and recursionWork with trees, heaps, maps, and hash tablesDesign and evaluate Java programs through assignments and exams

Taking this course toward Indiana Tech

After you finish the course, the transcript is sent for transfer review, and Indiana Tech applies the credit as CS 3800 – Data Structures & Algorithms. Because this is a named course equivalency, it is more straightforward than an elective-only match and gives students a specific place for the credit in an Indiana Tech degree plan. Indiana Tech is HLC-accredited and considers curriculum-related coursework with a grade of C or better for transfer credit, subject to its transfer policies. Students should also keep the overall limit in mind: Indiana Tech accepts up to 90 transfer credits, or 75% of a program.

Who this course is for

This is a practical choice for students who want to complete a computer science requirement before transferring to Indiana Tech and who want a clear course match rather than an elective guess. It is especially useful for students who are trying to stay within Indiana Tech’s transfer ceiling of up to 90 credits and want a course that is already recognized there as CS 3800 – Data Structures & Algorithms. It is not the best fit for someone who needs a non-computing course, or for a student whose Indiana Tech plan does not call for this kind of Java and data structures work.

Verified transfer details

What it means to transfer to Indiana Tech.

Indiana Institute of Technology (Indiana Tech) is HLC-accredited and accepts transfer credit from both regionally and nationally accredited institutions. Curriculum-related coursework with a grade of C or better is considered for credit.

What Indiana Tech offers UPI students
✓Accepts regional & national accreditation
✓C-or-better coursework considered
✓Transfer agreements with many providers
✓Online, associate through doctoral degrees
The numbers
90 credits
Max transfer toward a bachelor's
45 credits
Max transfer toward an associate

Transfer credits are never guaranteed. Final credit awards are determined solely by the receiving university's registrar.

Ready to start?

Start Data Structure and Algorithms today.

Enroll for $250 (or use a UPI Study subscription), finish in 28–30 days, and transfer 3 credits to Indiana Tech.