There seems to be many pathways to a BioComputing career with MS or PhD.
Need help deciding which BS major makes good sense for a STEM kid who loves Math, Chemistry & Biology. He/She wants to do cancer drug therapies or other analysis and is comfortable with wetlab, drylab or computing lab.
Kid already has admits in many of these majors but we are still confused about what are the best undergraduate options to later do MS/PhD in Bioinformatics or Computational Biology or BioComputational Engg?
Sometimes it can help to look ahead by searching for job postings in the desired career. Here’s an example for a Scientist - Cancer Target Drug Discovery at the biotech company, Seagen. They state:
“A degree in the following or related preferred: Cell Biology, Cancer Biology, Biochemistry, Bioengineering”
Something similar to these majors can often be constructed starting with a more traditional major like math, statistics, computer science, or biology and then carefully choosing in-major and out-of-major electives.
BioEngineering (unclear BioComputing option in BS): UC Irvine
Current best value option is UC Irvine but that would force S23 to do a dual major or minor in CS or Biology. Ignoring Costs, CWRU/UMDCP might be the most guaranteed option for BioComputing.
I guess I’m looking someone to say, it doesn’t matter which BS gets done as long as it is in a related field (Bio, BioChem, BioMed, CS) before doing MS/PhD in a BioComputing major. Is it?
There are colleges with computational biology majors, with varying amounts of biology, CS, math, and statistics (some are mostly biology, a few have a heavier CS emphasis). Perhaps look at the curricula to get an idea of what in-major electives and out-of-major courses a student in a general biology, biochemistry, or bioengineering major can choose for computational biology.
A possible issue is that CS majors and courses can be overflowing at some colleges, so adding a CS major or getting into CS courses can be difficult at some colleges. Perhaps check each college carefully (e.g. see if the class schedule shows CS courses full all the time and check if there are any stated policies on enrollment priority in CS courses).