How Does Credit Transfer Work
Students at Penn State Scranton often use our Database Fundamentals course to complete general education or major requirements affordably while balancing others commitments.

Penn State Scranton
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Dunmore, PA
The Database Fundamentals course at Penn State Scranton is designed for students who want to gain practical skills while saving significantly on tuition. With NCCRS & ACE accreditation, this online course can transfer up to 3–4 credits directly to Penn State Scranton programs, helping students finish their degree faster and at a lower cost.
Penn State Scranton accepts courses recommended for college credit by ACE & NCCRS

Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including Penn State Scranton.

Our courses are approved by the National College Credit Recommendation Service (Previously known as National Ponsi) — the NYSED.GOV body that approves AP and IB — and are accepted for credit by thousands of universities, including Penn State Scranton.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at Penn State Scranton
FAQ
How many credits will I earn for Database Fundamentals at Penn State Scranton?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at Penn State Scranton or over 2,100 U.S. universities.
Is the course self-paced and online?
Yes, it’s 100% online and self-paced. You can start anytime and finish on your own schedule within hours or days and then transfer it back to Penn State Scranton for credit.
Will this course from UPI Study transfer to Penn State Scranton?
Yes, the Database Fundamentals course is ACE- and NCCRS‑approved and can be submitted to Penn State Scranton for credit toward general education or elective requirements.
How much does the course cost as compared to Penn State Scranton?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at Penn State Scranton or any community college near Dunmore, PA.
Course Details For Database Fundamentals
Learning Outcomes
Penn State Scranton in Dunmore, PA
In Database Fundamentals at Penn State Scranton in Dunmore, PA you can learn the same topics, transfer it and save tuition fees by a mile. This course, worth 3 transferable credits and approved by NCCRS & ACE, is designed to help students at Penn State Scranton gain practical skills and, preparing them for success in degree programs and real-world careers. Upon the successful completion of this course, students will be able to: demonstrate proficiency in database fundamentals by classifying various types of data, such as numerical, textual, and multimedia data, and elucidating their respective sources and definitions; differentiate between relational, hierarchical, and object-oriented databases with concrete examples; explain the roles of fundamental database components, including tables, records, and fields, within database structures; master essential terminologies like schema, query, and normalization to communicate database concepts with precision and clarity; analyze the significance of database records and fields, recognizing their crucial role in organizing data; evaluate the purpose and functions of Database Management Systems (DBMS) and compare various DBMS models to demonstrate proficiency of database management principles; and assess the advantages offered by DBMS, such as data integrity, security, and scalability, to make informed decisions regarding database management strategies.
Major Course Topics
Major topics include introduction to database fundamentals; relational database model; Structured Query Language (SQL); data types in SQL; variations of SQL; relational data modeling; relational database design; database management commands; database administration and security; DBMS (Database Management System) and data processing applications; business intelligence and data warehouses; and sorting and selection in Java.

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