PhD decision: Applied Math vs Aerospace Engg.

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SUMMARY

The discussion centers on the decision between pursuing a PhD in Aerospace Engineering at the University of Michigan and a PhD in Computational & Applied Mathematics at the University of Texas at Austin. Participants emphasize that both degrees are valuable, with Aerospace Engineering being particularly strong at Michigan, ranked in the top three for the field. The aerospace industry is projected to grow by 10% over the next decade, making either choice viable depending on personal interests and career goals. Ultimately, the decision should align with the individual's passion and desired career path.

PREREQUISITES
  • Understanding of Aerospace Engineering principles
  • Familiarity with Computational & Applied Mathematics concepts
  • Knowledge of industry trends in aerospace and defense
  • Awareness of academic program rankings and their implications
NEXT STEPS
  • Research job opportunities in the aerospace industry post-PhD
  • Explore the curriculum and faculty at the University of Michigan's Aerospace Engineering program
  • Investigate the applications of Computational & Applied Mathematics in engineering
  • Analyze industry demands for skills in systems engineering and software engineering
USEFUL FOR

Prospective PhD students in engineering and mathematics, aerospace professionals considering further education, and individuals evaluating career paths in the aerospace and defense sectors.

Warlord88
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I have Bachelor's and Master's degrees in Aerospace Engineering. I recently got PhD admits from University of Michigan (Aerospace Engineering) and University of Texas at Austin (Computational & Applied Mathematics). I need to make a choice between the both and I hope you guys can help me out.
 
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If you want to stay in the Sunbelt or West Coast, go to UT. It'll also give you more flexibility in finding employment to have both AE and math/comp sci degrees.
 
If you are interested in working in the aerospace industry, I think one would be as good as the other. Do the one that would be more interesting to you.
 
You went to the University of Michigan for Aerospace Engineering, which is top 3 in the subject. If you enjoyed your time there, I would definitely recommend staying. Aerospace is supposed to see a 10% increase in jobs over the next 10 years as well. At any rate, that is the route that I'm taking. UofM is amazing for Aero.
 
wildman said:
If you are interested in working in the aerospace industry, I think one would be as good as the other. Do the one that would be more interesting to you.

really? I would think that employers in the aerospace/defense industry would much rather have an AE than an Applied math guy. I don't know what the applied math person could do other than systems engineering, trade analysis, software engineering, etc
 
This choice is entirely up to you. If I were you, I'd go with the aerospace Ph.D. But then again, I'm an aerospace major myself, and aerospace is all I would ever want to do (except possibly nuclear). It's really all about what you want in life, and what kind of job you want to get, and what you find most interesting.
 
creepypasta13 said:
I would think that employers in the aerospace/defense industry would much rather have an AE than an Applied math guy. I don't know what the applied math person could do other than systems engineering, trade analysis, software engineering, etc

There are misconceptions like this that apply to almost every job available in industry. Whilst I myself can't speak directly for aerospace engineering, the thing that students often fail to realize is that to someone hiring for industry, the most important thing are the skills that one has learned. For the aero/applied math dilemma, I imagine that it would depend on what you'd done in aero. Applied math would bring a lot of valuable skills, that could be applied in a way that you understand to engineering. If you're an expert in some particular type of math or modelling, you might actually be able to educate your employer on how that could be useful for their purposes. On top of this, you'll clearly be comfortable with math and modelling.
 

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