How Does Credit Transfer Work
Students at Lexington Theological Seminary often use our Quantitative Analysis course to complete general education or major requirements affordably while balancing others commitments.

Lexington Theological Seminary
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Lexington, KY
The Quantitative Analysis course at Lexington Theological Seminary is designed for students who want to gain practical skills while saving significantly on tuition. With NCCRS accreditation, this online course can transfer up to 3–4 credits directly to Lexington Theological Seminary programs, helping students finish their degree faster and at a lower cost.
Lexington Theological Seminary 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 Lexington Theological Seminary.

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 Lexington Theological Seminary.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at Lexington Theological Seminary
FAQ
How many credits will I earn for Quantitative Analysis at Lexington Theological Seminary?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at Lexington Theological Seminary 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 Lexington Theological Seminary for credit.
Will this course from UPI Study transfer to Lexington Theological Seminary?
Yes, the Quantitative Analysis course is ACE- and NCCRS‑approved and can be submitted to Lexington Theological Seminary for credit toward general education or elective requirements.
How much does the course cost as compared to Lexington Theological Seminary?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at Lexington Theological Seminary or any community college near Lexington, KY.
Course Details For Quantitative Analysis
Learning Outcomes
Lexington Theological Seminary in Lexington, KY
In Quantitative Analysis at Lexington Theological Seminary in Lexington, KY 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, is designed to help students at Lexington Theological Seminary gain practical skills and, preparing them for success in degree programs and real-world careers. Upon successful completion of the course, students will be able to: acquire essential knowledge and skills for strategic decision-making and risk analysis in the business field, emphasizing the use of quantitative methods; develop proficiency in key quantitative tools, including decision trees, payback analysis, and simulations, for effective managerial decision-making; gain a comprehensive understanding of the quantitative approach to decision-making, focusing on its advantages, objectives, and application under conditions of certainty, risk, and uncertainty; master business risk management through in-depth analysis and the application of risk management strategies, integrating concepts like probability distributions and Monte Carlo simulation; and prepare for data-driven, strategic decision-making, equipping students to navigate the challenges of today's dynamic business environment.
Major Course Topics
Major topics include strategic decision-making and risk analysis; simulation techniques in quantitative analysis; inventory management models; waiting line models and queueing theory; decision analysis for business; project planning and management; integer linear programming; linear programming; sensitivity analysis in business; linear programming applications; and distribution and network models.

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