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Hello, I am back after being sick for two weeks. And I'm now here to answer some questions about the degree I chose to do and some career advice. So for those who don't know my background, I graduated from CMU in 2022 with a degree in Cognitive Science with a concentration in AI. I also minored in Neural Computation and Computer Science. So the first, this person wants to do ML SWE and work to a research role. Is Cognitive Science specialization enough? Or should I also pick up a math or CompSci major minor? I think it can't hurt to pick up a math or CompSci major minor. I knew going into industry, it would look stronger if I had that additional. So my answer is, it can only help. But if you, I think you'll do just fine. The next question is, do hybrid research and programming roles exist? Do exist at startups? Definitely, you will be doing both. Memo, a memory company for AI with an amazing and I think that's a very good example of being in production and shipping an actual product while also doing innovative research. Is a master's essential for a hybrid research and programming role? It really depends on what path you, what path you take. I think startups don't care as much about degrees versus at larger companies, I think they do care more. So I think you will be fine without a master's. It really depends on what kind of work for. This is more about CogSci and research focused in, research focused in and this person is kinda concerned about that. I definitely feel I had a love-hate relationship with the research, with the research aspect of my education. I think what was actually extremely helpful was going through the scientific process because I use thinking actually everyday, thinking actually everyday, basically. It gives me when I'm building out my AI architecture. So it is pain, but I worth it. The degree name matter versus what you learn from the individual classes you take? Some Cog Sci curriculums are more mathy than others, but I want a more math/comp sci track. Does it matter? I think honestly for job applications that care most about the degree and then the projects you've done. Does matter if some CogSci curriculums are more mathy than others? I think it's always a good idea to supplement CogSci with some other STEM focused area, just so you're able to actually implement theories of mind you have. And it also helps with job applications and the job opportunities you can get. Last question is Python SWE or data analytics better for transitioning into AI? I air more of software engineering in general. And Python just because it gives you really good experience working with production-ready code. But it honestly also depends on what area and AI and ML you're very interested in. And I don't think you will go wrong either. I think you'll be okay. And yeah, I hope that was helpful. And I'm very excited to now be able to talk and talk about my app and what's going on with it. And I hope you have a wonderful day and thank you for watching. Bye.