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Optimization of Tuition Discounts in Private Colleges.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization of Tuition Discounts in Private Colleges./
作者:	Kliegle, Mark.
面頁冊數:	1 online resource (50 pages)
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644978click for full text (PQDT)
ISBN:	9798522971816

Optimization of Tuition Discounts in Private Colleges.
Kliegle, Mark.

Optimization of Tuition Discounts in Private Colleges. - 1 online resource (50 pages)

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--The College of St. Scholastica, 2021.

Includes bibliographical references

Higher education institutions face financial challenges on a macro scale through a decline in the perceived value of a college degree, a declining student population, debt resistance, and other factors. The external economic pressures have contributed to private colleges making internal tuition pricing decisions to increase the discounts offered for student tuition. The increase in tuition discount percent for traditional undergraduate students has risen to unsustainable levels in recent years when considering the fixed costs involved in running a higher education institution. The optimization of the tuition discount function offers positive and financially stabilizing solutions to highly tuition-dependent private colleges. Linear regression models were generated to identify expectations of future financial conditions based on tuition price, tuition discount rate, enrollment level, and other financial inputs utilized by 17 private colleges from 2009 - 2019. The maximum tuition discount rate increased from 45.8% in 2010 to 59.6% in 2019. Published tuition rates increased at nearly 40% while net tuition grew less than 20% over the same period. Results showed that significant tuition savings are available for institutions that reduce financial aid to the median competitor discount ranges and that a 5% increase in the tuition discount rate over the next five years will provide healthy tuition revenue growth as enrollment increases remain steady. Many private colleges have recently reduced academic programs or even closed entirely from enrollment declines and minimal net tuition increases. Implementation of data-driven tuition discount models enhances recruitment and increases tuition revenue for maintaining financial stability.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798522971816Subjects--Topical Terms:

532993
Information technology.
Subjects--Index Terms:

Data analyticsIndex Terms--Genre/Form:

542853
Electronic books.

Optimization of Tuition Discounts in Private Colleges.
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245 1 0 $a Optimization of Tuition Discounts in Private Colleges.
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500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Olson, Brandon D.
502 $a Thesis (M.S.)--The College of St. Scholastica, 2021.
504 $a Includes bibliographical references
520 $a Higher education institutions face financial challenges on a macro scale through a decline in the perceived value of a college degree, a declining student population, debt resistance, and other factors. The external economic pressures have contributed to private colleges making internal tuition pricing decisions to increase the discounts offered for student tuition. The increase in tuition discount percent for traditional undergraduate students has risen to unsustainable levels in recent years when considering the fixed costs involved in running a higher education institution. The optimization of the tuition discount function offers positive and financially stabilizing solutions to highly tuition-dependent private colleges. Linear regression models were generated to identify expectations of future financial conditions based on tuition price, tuition discount rate, enrollment level, and other financial inputs utilized by 17 private colleges from 2009 - 2019. The maximum tuition discount rate increased from 45.8% in 2010 to 59.6% in 2019. Published tuition rates increased at nearly 40% while net tuition grew less than 20% over the same period. Results showed that significant tuition savings are available for institutions that reduce financial aid to the median competitor discount ranges and that a 5% increase in the tuition discount rate over the next five years will provide healthy tuition revenue growth as enrollment increases remain steady. Many private colleges have recently reduced academic programs or even closed entirely from enrollment declines and minimal net tuition increases. Implementation of data-driven tuition discount models enhances recruitment and increases tuition revenue for maintaining financial stability.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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650 4 $a Education finance. $3 3172165
650 4 $a Higher education. $3 641065
650 4 $a Finance. $3 542899
650 4 $a Enrollments. $3 3562827
650 4 $a Datasets. $3 3541416
650 4 $a Trends. $3 3560051
650 4 $a Private schools. $3 1003110
650 4 $a Tuition. $3 3561540
650 4 $a Colleges & universities. $3 3548279
653 $a Data analytics
653 $a Enrollment
653 $a Tuition
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