I'm currently enrolled in a top social science PhD program in the US and recently passed my qualifying exam. My research primarily involves statistical methods and occasionally computational techniques (e.g., NLP, network analysis, but mostly at an applied and superficial level). Given the uncertain prospects of the academic job market, I'm considering how to best position myself for industry roles, such as data scientist, user researcher, or machine learning engineer, after graduation, as a back-up plan.
I'm contemplating enrolling in a part-time STEM master's program, like the OMSCS, to enhance my methodological skills and broaden my career options. However, I'm concerned about the time commitment and its potential negative impact on my research progress. Notably, previous PhD graduates from my department have secured similar industry roles without an additional degree.
So, my questions are:
- Is pursuing a part-time STEM master's degree a worthwhile investment for securing industry jobs like data science, user research, or machine learning engineering (especially considering the time cost)?
- For a social science PhD aiming to transition to industry, what are the most important factors or skills that employers value?
I'd appreciate any insights or advice from those who have navigated similar paths!