Is Computational Systems Biology a Good Major for Engineering Grad School?

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Discussion Overview

The discussion revolves around the viability of pursuing a major in Computational Systems Biology (CSB) for students interested in applying to engineering graduate programs, specifically in Electrical Engineering (EE), Computer Science (CS), Bioengineering (BioE), or Mechanical Engineering (MechE). Participants explore the curriculum, potential career paths, and the implications of choosing CSB over a traditional physics major.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant expresses interest in switching to CSB and inquires about its acceptance in engineering grad schools, considering a double major in math or applied math.
  • Another participant notes similarities between the discussed program and UCLA's CSB program, highlighting its interdisciplinary nature and suggesting that more information about the curriculum would be beneficial.
  • A participant describes CSB as an emerging field that may present challenges in job placement due to its specialized nature but encourages pursuing it.
  • Details about UCLA's CSB program are shared, including its prerequisites and the various pathways available, raising questions about competitiveness for engineering grad school applications.
  • One participant emphasizes that the suitability of CSB for grad school depends on the specific engineering program and the applicant's research experience and faculty connections.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether CSB is definitively a good choice for engineering grad school, as opinions vary based on individual goals, program specifics, and personal circumstances.

Contextual Notes

Participants mention the importance of research experience and faculty contact, indicating that these factors may influence the applicability of a CSB degree to engineering graduate programs. There is also uncertainty regarding the long-term career prospects in the field.

Who May Find This Useful

Students considering a major in Computational Systems Biology, those interested in interdisciplinary studies combining biology and engineering, and individuals exploring graduate school options in engineering fields.

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I was wondering what are the general opinions on the field? I am a freshman physics major planning to switch to this major. I can basically pursue an emphasis on neurosystems, CS, molecular biology or bioinformatics. If I do end up majoring in CSB, I will probably double major with math or applied math. Would it still be possible to get into good graduate programs for engineering(EE/CS/BioE or even MechE?) Or would it be better to play it safe with a physics major? Any advice is much appreciated.
 
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This sounds just like UCLA's program. Is it? If so, it looks like a very interesting program. You get a mixture of programming, engineering and math classes. You will also have a dose of chem, bio and organic chemistry. I am interested in hearing more of what others have to say. I suggest you inform others a little more of the curriculum, so they have an idea if it will prepare you or not.
 
This is an emerging and very exciting field. It may be difficult at first to find a job because of its cross-disciplinary and specialized nature. However, I would go for it but ultimately the decision is yours to make.
 
Yep, it is UCLA's program! It's actually a couple of decades old apparently. Well basically, you pretty much have almost the same lower div prereqs as physics, math, chem, life science and CS majors(lower div programming, o chem, upper div linear algebra, a bit of EE, basically all the classes without labs). The five pathways to pick subsequently are systems bio(bio heavy), bioinformatics(CS heavy), neurosystems(EE heavy), computers and biosystems(CS heavy) and biomedical systems(bioengineering/stats/math heavy). A senior year project is required.

Would it put me on level playing ground with other applicants for engineering grad school? I really am not very sure about my plans though unfortunately(what to do with life after undergrad). I would like to keep as many options open though. Like I mentioned though, I will probably be double majoring in applied math or math, depending on the time.
 
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^ Any thoughts on this?
 
It depends on entirely what engineering grad school you apply to and whether you've contacted faculty and have research experience that fits their current research agenda.
 

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