Coming from a non traditional background, before Kellogg I could barely use Excel. My previous leadership experiences were very real world and high pressure. The one thing I knew I had to focus on during my MBA was my quantitative skills.
At Kellogg, I took several classes on statistics, analytical decision making, and even coding. For someone who couldn't do a vlookup, I left Kellogg knowing how to code in Stata and R. The best classes for that were Marketing Research, Customer Analytics, and Analytical decision modeling.
Professors were great and extremely helpful in helping me figure out what languages to study and what I could do with the newly-acquired skills.
I work today at a large techfin company doing product management with a focus on data science in the Bay Area. If you think Kellogg is a "soft" school, think again. You can earn all the hard skills needed to succeed in the age of big data.
Recruiting is the hardest part. It's really stressful. But everyone makes it, and I can say that almost everyone I know got the jobs they wanted and are doing really well in the their careers. Be laser-focused on the industry and companies you're interested in, but allow about 20% of your time to search for other options always. Recruiting might not turn out the way you expected and having a plan B really pays.
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