> Unless you do a masters degree in Data Science, AI, CS, Statistics, or a related field, a masters degree only serves as proof that you are intelligent and wor

> Unless you do a masters degree in Data Science, AI, CS, Statistics, or a related field, a masters degree only serves as proof that you are intelligent and work hard. Someone without a masters degree can still have those attributes, but they would just have to prove it some other way. I think the commenter’s point is (implicitly) about specific, directly relevant Master’s degrees. Obviously a general Master’s wouldn’t provide much of an advantage. The difficulty isn’t demonstrating intelligence and work ethic, it’s demonstrating targeted expertise. > People without a masters degree, but more business experience, bring a different perspective, and are often more business results focused, and potentially work more collaboratively than an individual who just graduated from a masters program. To be honest with you, this sounds to me like complete speculation. I’m not saying it’s wrong; rather it seems like it’s at best unempirical, and at worst unfalsifiable. The qualifiers you’re using (like “potentially”, or “often”) don’t seem like strong heuristics. I think it would be helpful to discuss straightforward job descriptions. For most real data science roles, I would not weight any of what you’ve listed (except collaboration) as being remotely as useful as demonstrable expertise in computer science and statistics. For candidates without a Master’s degree, I wouldn’t take business experience or lack thereof as a signal whatsoever - I’d look for a relevant heuristic to replace it.