Post-grad feeling the tiniest bit lost

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Discussion Overview

The discussion revolves around a post-graduate individual contemplating their next steps after completing a bachelor's degree in mathematics. The participant is considering various career paths, including product management, software engineering, and pursuing an MBA, while also expressing a desire to attend graduate school in fields such as mathematics, computer science, applied physics, or neuroscience. The conversation explores the participant's current situation, interests, and strategies for preparing for graduate studies.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Debate/contested
  • Meta-discussion

Main Points Raised

  • The original poster (OP) has a background in mathematics with a strong GPA and leadership experience but feels uncertain about their future direction.
  • Some participants inquire about the OP's undergraduate performance and specific interests in graduate school, highlighting the diversity of fields they are considering.
  • The OP mentions limited research experience and concerns about obtaining references for graduate school applications.
  • Strategies proposed by the OP include self-study, reaching out to professors for research opportunities, and working on personal projects.
  • One participant suggests that the OP reflect on their current job satisfaction and career advancement goals to help clarify their next steps.
  • Questions are raised about the OP's preferences regarding industry versus academia and the importance of location in their decision-making process.

Areas of Agreement / Disagreement

Participants express varying degrees of agreement on the importance of self-reflection and strategic planning for the OP's career path. However, there is no consensus on the best course of action or how to prioritize the OP's interests and options.

Contextual Notes

The discussion highlights the OP's uncertainty regarding their interests and potential career paths, as well as the challenges posed by their limited research experience. Participants do not resolve these uncertainties but instead provide different perspectives and questions to consider.

Who May Find This Useful

Individuals in similar situations of transitioning from undergraduate studies to career or further education, particularly those with interests in mathematics, computer science, applied physics, or neuroscience.

imranq
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I finished my bachelors a 2-3 years back in mathematics and working a pretty good job in New York in the tech industry, but I am having trouble deciding what to do next!

My options are either continue down this route and become a product manager, go more heavily into software engineering through a bootcamp, or grab an MBA.

I've always had interests in math/cs, applied physics, and neuroscience and would love to go to grad school to study these full-time with passionate students and teachers, but I have limited research experience (the result of being too focused on business in college), and wouldn't know how to get references.

So far I've been trying the following approaches:
1) Self-study math, physics, cs as much as I can
2) email professors to do research in my spare time
3) do projects in my spare time to focus interest (building web apps, etc.)

Eventually I'll take the GRE (did well on the GMAT, but I don't think any MS/PhD program takes that) and start applying next year. Am I taking the right approach? Would taking a job be better?
 
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Can you tell us how you did in undergrad?

And what exactly do you want to go to grad school for? Math, CS, physics, and neuroscience and four very different fields.
 
I had a 3.6 gpa and 3.9 math gpa... Some leadership experiences / TA.

Post college won a 2 national tech competitions

I guess one of my problems is how to focus my interests
 
imranq said:
I finished my bachelors a 2-3 years back in mathematics and working a pretty good job in New York in the tech industry, but I am having trouble deciding what to do next!

My options are either continue down this route and become a product manager, go more heavily into software engineering through a bootcamp, or grab an MBA.

I've always had interests in math/cs, applied physics, and neuroscience and would love to go to grad school to study these full-time with passionate students and teachers, but I have limited research experience (the result of being too focused on business in college), and wouldn't know how to get references.

So far I've been trying the following approaches:
1) Self-study math, physics, cs as much as I can
2) email professors to do research in my spare time
3) do projects in my spare time to focus interest (building web apps, etc.)

Eventually I'll take the GRE (did well on the GMAT, but I don't think any MS/PhD program takes that) and start applying next year. Am I taking the right approach? Would taking a job be better?

imranq said:
I had a 3.6 gpa and 3.9 math gpa... Some leadership experiences / TA.

Post college won a 2 national tech competitions

I guess one of my problems is how to focus my interests
I'm not sure that I can tell you what you should be interested in. However, I might pose a few questions to help you think about what you want to do:
  • Are you unhappy with your current job? Or are you looking for career advancement? If the latter, then that is probably an easier question to answer.
  • If you decide to leave your current job, where do you want to go? Your two basic choices are industry and academia, and then the choices go into more detail from there. There are also choices about location. Do you like where you live? Do you want to be somewhere else?
  • Once you know more about the first two bullets, then you can probably narrow down what you looking into. If you have a serious mismatch between field [say Neuroscience] and location [say Omaha, NE], [I made that up, don't yell at me if there is a great neuroscience program in Omaha] then you know you need to pick something different.
  • Once you have a more specific plan, then you could do things to help you achieve that goal: take the GRE, build up a portfolio of code, get an appropriate certification, or whatever the case may be.
 
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