group work
Paper No. 2 - On SMART Analysis
Bus 143 – Judgement and Decision Making
Written By Group 5
Nana Akahoshi
Kevin Du
Jahzeel Lara
Jewell Mcclain
Huiyin Wang
For Professor Gary Patterson
School of Business Administration
University of California, Riverside
Winter, 2017
Table of Contents
Summation of Attributes Table 5
Price of the Attributes Computation 5
Executive Summary
This report provides an analysis and evaluation of select attributes of University of California Berkeley (UCB), of Riverside (UCR), and of Los Angeles (UCLA), and also the University of Southern California (USC), California State University of San Bernardino (CSUSB), and Stanford University, in order to establish a preference in Graduate School options. Our method of analysis consisted of the application of the Simple Multi-Attribute Rating Technique (SMART) through the use of decision trees, weighted attributes and their summations, efficiency frontiers, and sensitivity analysis.
Our findings are catered towards graduates seeking full time MBA programs on a basis of overall school ranking, school location, graduation rate, and the average post-graduation salary.
Findings
Conclusions
Recommendations
Assessment
Deciding the best graduate school can be a daunting task. In the following pages we apply the Simple Multi-Attribute Rating Technique
Decision Tree
|
College |
Tuition & Fees |
Est. Living Cost |
Total |
|
A. UC Berkeley |
60162.50 |
25752.00 |
$85,915 |
|
B. UC Riverside |
41513.10 |
14250.00 |
$55,763 |
|
C. UC Los Angeles |
58462.00 |
32145.00 |
$90,607 |
|
D. University of Southern California |
69490.00 |
23319.00 |
$92,809 |
|
E. California State University, San Bernardino |
10979.49 |
19,683 |
$30,662 |
|
F. Stanford University |
74886.00 |
34332.00 |
$109,218 |
*based on State Resident Full-Time MBA tuition fees
Ranking Based on Importance of Each Attribute
|
Attribute |
Weight |
Normalized Weight |
Level (High/Low) |
|
Ranking |
100 |
|
|
|
Location |
30 |
|
|
|
Average Graduating Salary |
80 |
|
|
|
Graduation Rate |
50 |
|
|
|
Total |
|
|
|
Ranking Weights Based on Schools
|
Attributes |
A |
B |
C |
D |
E |
F |
|
Ranking |
90 |
40 |
70 |
60 |
10 |
100 |
|
Location |
70 |
20 |
90 |
100 |
10 |
70 |
|
Average Graduating Salary |
90 |
60 |
90 |
90 |
40 |
100 |
|
Graduation Rate |
90 |
50 |
70 |
80 |
40 |
100 |
|
Total |
|
|
|
|
|
|
Ranking Based on Alternatives
Objectives:
Maximize value of colleges for students who plan to attend graduate school in their near future
Minimize Student worries as they plan to attend schools that offer more benefits such as (scholarships,grants,and many majors)
Summation of Attributes Table
Nana’s Part
Efficiency Frontier
Price of the Attributes Computation
Sensitivity Analysis
Works Cited http://mba.haas.berkeley.edu/admissions/costs-and-financial-aid.html http://mfe.berkeley.edu/admissions/finaid.html http://finaid.ucr.edu/ucr-cost/index.html http://registrar.ucr.edu/registrar/tuition-and-fees/quarterly-fees.html http://www.anderson.ucla.edu/degrees/mba-program/financing http://ftmba.marshall.usc.edu/financial-aid/ https://www.csusb.edu/student-financial-services/tuition-and-fees/academic-year-2016-17 https://www.gsb.stanford.edu/programs/mba/financial-aid/cost-summary
http://grad-schools.usnews.rankingsandreviews.com/best-graduate-schools/top-business-schools/mba-rankings?int=9dc208