Dec 25, 2018 · Not a direct answer to your question, but a personal experience. I got a PhD in EE and am now one semester away from finishing my masters in CS. Three years after my PhD, I changed careers from EE research to a data science. My EE PhD provided me background in linear algebra, partial differential equations and numerical computations. ... One of my old professors did a masters of public health (MPH) after she became a tenured professor (her PhD was in the Biomedical Sciences). She did her MPH over the span of a few years since she still had her normal professor duties- took classes at night, used her sabbatical time to work towards her MPH. ... Side note: I'm working outside of academia but would appreciate any input. I gained my PhD 11 years ago in genomics which was a 50/50 split of lab work and bioinformatics. A couple of postdocs and 5 years in industry later, I'm doing much less taxing informatics work and to be honest ... I have a Master's degree in Materials science and am soon to finish my PhD in computational materials science. I am fairly well versed in programming (python, MATLAB, FORTRAN), linear algebra, calculus. While pursuing my PhD, I got exposed to machine learning and got fascinated by the possibilities of utilizing it properly in my field of study. ... I am 40 years old, earned a PhD in Software Engineering 6 years ago and I am seriously contemplating going back to school to earn a Masters degree in Applied and Computational Math (ACM) – both my undergrad and Masters Degrees are in Computer Science. I worked as a software/systems engineer prior to my PhD. ... Jul 26, 2017 · The strategy worked. The summer after she obtained her Ph.D., she became a scientific adviser and clerk at a law firm, working during the day and going to law school at night. Managing work and school was intense, and going to school part time meant that she finished her degree in 4 years instead of the usual three. ... ">
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Dec 25, 2018 · Not a direct answer to your question, but a personal experience. I got a PhD in EE and am now one semester away from finishing my masters in CS. Three years after my PhD, I changed careers from EE research to a data science. My EE PhD provided me background in linear algebra, partial differential equations and numerical computations.
One of my old professors did a masters of public health (MPH) after she became a tenured professor (her PhD was in the Biomedical Sciences). She did her MPH over the span of a few years since she still had her normal professor duties- took classes at night, used her sabbatical time to work towards her MPH.
Side note: I'm working outside of academia but would appreciate any input. I gained my PhD 11 years ago in genomics which was a 50/50 split of lab work and bioinformatics. A couple of postdocs and 5 years in industry later, I'm doing much less taxing informatics work and to be honest
I have a Master's degree in Materials science and am soon to finish my PhD in computational materials science. I am fairly well versed in programming (python, MATLAB, FORTRAN), linear algebra, calculus. While pursuing my PhD, I got exposed to machine learning and got fascinated by the possibilities of utilizing it properly in my field of study.
I am 40 years old, earned a PhD in Software Engineering 6 years ago and I am seriously contemplating going back to school to earn a Masters degree in Applied and Computational Math (ACM) – both my undergrad and Masters Degrees are in Computer Science. I worked as a software/systems engineer prior to my PhD.
Jul 26, 2017 · The strategy worked. The summer after she obtained her Ph.D., she became a scientific adviser and clerk at a law firm, working during the day and going to law school at night. Managing work and school was intense, and going to school part time meant that she finished her degree in 4 years instead of the usual three.