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.