MS/PhD in Machine learning

I'm a fresher working as a Data Analyst. I'm thinking of going to the EU for an Mtech in ML (Computer Vision) in 2025. I'm looking at Sweden, Germany, Norway etc for the same. My long term goal is to settle down in the same country. I'm aware that job opportunities compared to the US are far less in Europe, but I wanted to know if I should stick to my plan or consider the US for my future plans. My priorities are living conditions, social security benefits, and salary, in that order. Thank you so much if you leave any advice below!

Hi, I have 2 years of experience in analytics and now considering a career shift to data science. I am planning to take the GRE this year to pursue a master's degree in data science, either in the US or Europe. Could you people please advice me on country to choose and the steps I should take to achieve my goal?

A little background: I'm 2024 cs grad from a tier 3 university placed at Zomato as an SDE-1. Getting a good pay of ~25 LPA. Should I be considering a masters in AI/ML field, considering I've no prior knowledge of the field and I'm only attracted to it because of the recent rise of LLMs. I would be open for a masters from India or abroad. What are the pros and cons? Should I go for it? If yes then what's the path that you'd suggest if you've done it or someone you know who has done it? What would be some good universities to target? Or is it a bad idea?

Currently working as a full stack developer with 2+ exp I'm planning to do my masters in Data Science? is it good to do masters in Data Science or General Computer Science since my work experience gets null if I do my masters in Data Science what are your suggestions ?

I am 22yo and just graduated from a tier 3 college with Btech degree. Currently placed in a startup as a Frontend Engineer CTC 7LPA remote. I am confused should I prepare for masters and do that or should I work hard in FE and switch after 1-2 year for better pay. And what one should do? Masters in Cs or MBA , I know both are different but still confused.

I am currently working (2 yoe) at a decent service based startup (CTC 7L) but I feel like I could do much better. This job feels easy (nothing new to learn). #background I graduated in electrical from a tire II college, since I fell in ♥️ coding (thanks to robotics club and YouTube) i choose this career, but now looking at all the other profiles I feel i am not getting access to those cheese jobs, kind of those that have high scope to learn and earn. So I feel like getting into a top college and getting a masters in CS might help me. What do you all think ? [Thinking about Germany because of no tuition fees and safety]

I want to pursue a master's degree in the field of data science, but I'm confused about whether to go to Australia or the Netherlands. Which is better? also tell me some best universities for Data science.

Hey fellas, I'm looking to start preparing for admissions for Fall'25 but quite confused where / how to start. A little bit about myself I did my undergrad from a foreign University (in Aus) on a scholarship and majored in computer science. Graduated back in 2021 with a gpa of 3.39/4.0 and had been working as a backend/ML engineer since then. Although I mostly work with backend, I've some contributions around ML mostly in Fintech and agritech side. I'm looking to pursue my master's around ML or AI to develop a niche and get back into industry afterwards (most of the orgs require you to have a master's with extensive work experience, one of the major reason I wish to pursue a postgrad). I have 2.5 yrs of work experience as of now and would be over 3 yrs and 8 months of work experience if I go for fall 25. Apart from this, I have a research paper yet to be published (submitted) around Neuromorphic Computing. I am honestly not very sure where to start, although I have a few unis shortlisted and they don't really require GRE scores and I might have an exempt from TOEFL as well so I might just be looking for SOPs and LORs apart from strengthing my profile more(or learning lang if applicable). I would be grateful if you all can help in letting me know how and where to start given the timeline.

Sorry for the long post! Hi, I'm in India. I completed my bachelors in biotechnology and am in the first month of masters in genetic engineering. Initially I had no plan to join masters in India, instead I thought of pursuing MS abroad. As I could only apply for programs for September 2024, I thought a gap year would decrease my chances of getting into any program and would not look nice on my resume. As time went by, I panicked and got into genetic engineering masters. This is where I came to know it is a research-oriented program unlike biotechnology and must do a PhD afterwards. I don't even know what the career scope for genetic engineering might be. Now, I'm in a dilemma that I should continue my masters for two years and do a PhD abroad or do any internship for a year and get into masters in biotechnology abroad (specifically US) for September 2024 and directly go for an industry?! Any suggestions are welcome!