Programs At a crossroads between MS in CS or EE

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SUMMARY

The discussion centers on the decision between pursuing a Master’s in Computer Science (MS in CS) focused on data science and machine learning versus a Master’s in Electrical Engineering (MS in EE) with an emphasis on semiconductor manufacturing. The participant, currently completing a BS in Mathematics with a concentration in statistics and transitioning from active duty Air Force, expresses interest in both fields due to their strong job markets. Insights reveal that while both paths are viable, the MS in CS aligns more closely with the participant's mathematical background and current interests in machine learning, whereas the MS in EE may require additional foundational knowledge in solid state physics and materials science.

PREREQUISITES
  • Understanding of data science and machine learning concepts
  • Familiarity with semiconductor manufacturing processes
  • Basic knowledge of solid state physics and materials science
  • Experience with programming and digital circuitry design
NEXT STEPS
  • Research Master’s programs in Computer Science with a focus on data science and machine learning
  • Explore Master’s programs in Electrical Engineering that accept non-EE backgrounds
  • Investigate the requirements for PhD programs in semiconductor physics and materials science
  • Gain practical experience in machine learning through projects or internships
USEFUL FOR

Individuals considering a transition from military to civilian careers, particularly those with a background in mathematics, and professionals exploring advanced degrees in computer science or electrical engineering.

AKing2713
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I am currently finishing up a BS in Mathematics with a concentration in statistics and can't decide which route to take in education and career. I am currently active duty Air Force and fix/teach people how to fix jets (been in for 12 years). I am transferring to the reserves to finish out my career in the military there and want to start down a civilian career path in the near future. I studied mathematics as I really had no idea what to do as far as career outside the military and felt Mathematics was general enough I could pivot when I got to my Masters into something a bit more specialized. I have narrowed it down to two fields I am very interested in and having trouble committing.

The first is data science/machine learning and the MS in CS would be the degree for this one. I don't have to tell you how hot the job market is on this one and feel like it will be for a long time. This one better aligns towards my mathematics degree and I have already been dabbling in machine learning building models in my spare time.

The second is semiconductor manufacturing and the MS in EE would be the degree for this one. Again, I feel like the job market will always be in demand for these engineers and the recent chip shortage is confirmation of that. This one better aligns toward my current job of being a technician (I know its a far cry from what I am doing now but its in the same vein).

Both of these career and education paths sound so interesting and I can't decide. Was wondering if any1 in these fields might shed some light on them. Also, I know PHDs are fairly common for both of these fields and wouldn't be opposed to pursing one if it made sense.

Thank you for the read!
 
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They are both excellent fields and it's really just a matter of your personal interest. My own belief is that CS jobs are even more available than EE and are likely to remain so for the foreseeable future, but that really should be a secondary concern. "If you love what you do you'll never work a day in your life."

EDIT: I should add: I've been both and have considerable experience w/ both, although my EE days are LONG behind me.
 
You should see if your background in math is sufficient to get you in a MSEE program. Also, if you are shooting for a job in semiconductor fab, a lot of those folsk have PhDs in solid state physics or materials science.
 
phinds said:
They are both excellent fields and it's really just a matter of your personal interest. My own belief is that CS jobs are even more available than EE and are likely to remain so for the foreseeable future, but that really should be a secondary concern. "If you love what you do you'll never work a day in your life."

EDIT: I should add: I've been both and have considerable experience w/ both, although my EE days are LONG behind me.
I can see myself being happy at both jobs so I am just not sure which 1 to go for. What did you do when you were doing EE if you don't mind me asking?
 
Vanadium 50 said:
You should see if your background in math is sufficient to get you in a MSEE program. Also, if you are shooting for a job in semiconductor fab, a lot of those folsk have PhDs in solid state physics or materials science.
It does seem like the standard that anyone working in the semiconductor field doing research and development or even some types engineering all have PhDs. I wouldn't be opposed to a PhD but might be a bit tough coming from a more mathematics background instead of an EE background. Also, I have looked into a few MSEE programs. You are correct in asking that some do require an EE BS but there are quite a few programs that accept other BS such as mathematics. Worst case is I have to take a few undergrad EE classes in order to be accepted.
 
AKing2713 said:
I can see myself being happy at both jobs so I am just not sure which 1 to go for. What did you do when you were doing EE if you don't mind me asking?
I designed digital circuitry for both airborne (small rockets) and ground station telemetry systems for NASA. Extremely primitive by today's standards but very cool for the time. I also wrote some of the data conversion software which is how I got into programming.
 
Thank you for your service. (Army brat here) :smile:
AKing2713 said:
I wouldn't be opposed to a PhD but might be a bit tough coming from a more mathematics background instead of an EE background.
I think the EE/Semiconductors route is pretty far from your math background, and the CS/AI/Machine Learning seems a better fit, IMO. The Semiconductor Physics and Material Science aspects of EE/Semiconductors are pretty involved and specialized, and unless you've taken a few classes in them you won't really know if you enjoy them nor not. You could start to get into complicated Semiconductor Physics classes and find out that you don't really enjoy them (or maybe even aren't understanding them at an intuitive level).

Best of luck in whichever path you choose.
 
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