Hi everyone,
I’m a 5th-year medical student in a 6 year undergraduate program ,turning 28 soon. Over the past few years I’ve realized that my real passion is computational biology, bioinformatics, and developing algorithms for biomedical research. My long-term goal is to work in academia or industry doing computational research rather than practicing clinical medicine.
I’m currently trying to decide between three possible paths:
MSc in Bioinformatics (under a Computer Science faculty). The downside is that I’d first need to complete about a year of complementary undergraduate CS coursework before officially starting the master’s.
MSc in Mathematical Biology (under a Life Sciences faculty). This wouldn’t require the extra year of coursework, so it’s a faster route. However, I’m wondering whether the degree title and training would carry the same weight for future PhD opportunities and industry positions compared to an MSc in Bioinformatics.
Finish my MD first, continue building my computational background independently (math, CS, programming, machine learning, etc.), get involved in computational research, and then apply directly to a PhD afterward.
My end goal is to become an independent computational researcher working on biologically and medically relevant problems, ideally at the intersection of AI, algorithms, and biology.
For those of you in bioinformatics, computational biology, academia, or biotech:
Which path would you choose?
Does the title of the MSc (“Bioinformatics” vs. “Mathematical Biology”) actually matter in the long run?
Would finishing the MD before pursuing a PhD put me at a disadvantage, given that I’ll be around 31 when starting a PhD?
I’d really appreciate hearing your perspectives, especially from people who have taken unconventional paths.
Thanks