| Hi HN community, I'm in a Director+ level management role within data and am well-versed in statistics and traditional ML. I manage DS, DE, SWE, and Product teams. I'm considering an MS in Computer Science to deepen my understanding of deep learning out of personal interest. I'm no longer hands-on with coding but value structured academic environments. Cost isn't an issue. Key points: - My goal is personal enrichment and staying technically current, not career progression. - How might recruiters and companies view this educational pursuit at my career stage? Positively as continual learning or as unnecessary given my seniority? Perhaps negatively? I would appreciate insights from those who've embarked on similar educational journeys or have relevant knowledge about the industry's view on such decisions. Thanks in advance for your thoughts! |
It sounds like you see value in (1). You're a little unclear on whether you want (2), since first you say your goal is not career progression, but then you ask how this is viewed by companies and recruiters.
From the perspective of someone who has been in the position of screening and interviewing technical candidates, both ICs and managers, most MS degrees don't add a lot to a resume IMO. If it's from a mid- or low-tier school, or an online program, I don't really put much stock in the quality of the program. Even upper-tier schools more and more give off the perception that you're just paying for a credential. I would say that if you have the motivation to learn the material on your own, and then put it into practice in a demonstrable way in your actual work (which seems like something that should be tractable, given your role), that would have more value.