I have a confession.
I am nervous about business school.
It’s been over a decade since I’ve been a student. Thanks to the GMAT studying isn’t the distant
memory it once was. However, studying
for one exam doesn’t compare to managing a full course load, especially when
that course load is focused on the subjects that gave me fits in
undergrad. I have a healthy fear of
stats and economics, fueled by complete disinterest and my brain’s inability to
make sense of concepts like marginal revenue=price and correlation
coefficients. Whether I like it or not
the only way to an MBA is through these subjects. Since I am spending my summer happily
unemployed, I figured it would be a good idea to face my fears head on and get
reacquainted with stats and econ and introduced to case studies and Excel
modeling before school starts in September.
Enter Manhattan GMAT Pre MBA bootcamp.
I’ve been a big fan of Manhattan GMAT for over a year as
their strategy guides were instrumental in getting me through the quant portion
of the GMAT. When I found out they were
offering a 16-hour program focused on all things business school I was all
in. The bootcamp meets at Manhattan
GMAT’s New York office for four 3-hour sessions during which incoming 1st
year students get a crash course in all of the topics we will encounter at
school.
Before bootcamp began the work started. Upon registering I received an Excel primer,
the course textbook, Case Studies and Cocktails, and a syllabus detailing each
week’s assignments. Seeing that there
was reading assigned for the first class let me know that this bootcamp was the
real deal. According to the syllabus,
each class would cover a different academic subject and the first two would be
my old nemeses: statistics and microeconomics.
Last week I made it through the first two sessions. The verdict: There’s a thin line between love
and hate and bootcamp may have dragged me over the line when it comes to stats
and econ.
Bootcamp is less about teaching us how to DO these quant
heavy subjects and more designed to show us how to USE these disciplines to
solve business issues. I think that’s
what was missing all those years ago when I was first introduced to these
subjects. It was all numbers, no
context. In bootcamp we are learning
through the lens of a case study about a new product launch in the tech
space. Thus far we have used statistics
and economics to determine the launch price of this new product. Giving a real world application to concepts
like standard deviations, confidence intervals, marginal revenue, and price
elasticity makes them far more interesting and useful. As we evaluated survey data during the
statistics lesson I could clearly see how I could have used this knowledge in
my career. I even wondered if my former
company’s marketing department ever employed these methods to set pricing and
promotion strategies. If they did they
may have done a better job predicting what people would pay for some of our
recent product launches that were great in theory but not in practice.
I still have two more bootcamp sessions this week. We are tackling finance (eeeek!!),
accounting, and valuations, three more business school stalwarts that strike
fear in my heart. I was very conscious
to stay away from these classes in undergrad for fear my transcript would be
littered with F’s. However, I have the
feeling it’s not going to be as awful as I once thought it was. If the statistics and microeconomics lessons
thus far are indicative of what is to come then I can see that my years of work
experience have exposed me to these subject areas in practice much more than I
initially realized. I may not know the
theoretical terms but I know the concepts when I see them. I am only halfway through bootcamp so I may
be overly optimistic, but I feel more confident now that I will not flunk out
of Booth after my first semester. I’ll
let you know how I’m feeling after this week’s classes.
sounds like you were paid by Manhattan GMAT to say all this, with a free course and some stipend
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