Diminishing marginal utility of GPA

Joined
2/18/16
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Hi,

I am a student in the UW CFRM CFIN certificate program. This certificate is a portion of the coursework for the first year of the UW CFRM MS program. If all goes well with the certificate, I plan to complete the MS program, online.

Recently, we have been studying utility functions. I concluded that there is diminishing marginal utility of GPA scores. It seems that the twice the effort/stress is required to earn a 3.8/3.9 GPA vs. earning a 3.5 GPA, yet the utility of a 3.8/3.9 GPA does not warrant this effort/stress. I concluded that risking one's time, effort, physical health, and sanity to achieve a near-perfect GPA is not as fruitful as accepting the "certainty equivalent" of a 3.5 GPA, which can be earned in relative comfort :)

Aside from the UW MS coursework, my resume includes about 5 years of software development experience with object-oriented programming languages like C# and Java, extensive experience with Oracle SQL and PL./SQL, scripting language experience with Perl and PowerShell, and HPC cluster computing experience using PBS/torque and optimized C code. Finally, I am co-author on three bioinformatics publications from 2011-2014.

Taking all of the above into consideration, is the difference between a 3.5 GPA and a 3.8/3.9 GPA really going to make enough difference to a prospective employer to warrant the additional personal sacrifice?
 
my colleague never sacrificed much effort, physical health, and sanity when doing his part time engineering phd at penn (plus the weekly amtrak commute) while working full time... he got 4.0 gpa... sounds like op has either insufficient math foundation or time management skills...
 
my colleague never sacrificed much effort, physical health, and sanity when doing his part time engineering phd at penn (plus the weekly amtrak commute) while working full time... he got 4.0 gpa... sounds like op has either insufficient math foundation or time management skills...

I received my BS degree in Computer Science and Engineering at an open-admissions public school, so the math wasn't particularly challenging. Also, once I started working as a software developer, I didn't really use calculus or linear algebra. It's been more than 10 years since I have taken those classes. So, in doing the UW program, I have needed to learn calculus and linear algebra from scratch, starting in January 2017. I had even forgotten how to do basic algebra, such as factoring and solving systems of equations. I suppose once these skills become second nature, things will get easier. At least I have my coding foundation :)
 
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