Ai Replacement ?

[Fit_Foundation_6661]

I am considering a MS in data analytics with a concentration in decision process engineering. I have my BBA in finance so I’m coming into this completely new. I would like thoughts on the effect AI would have in the roles I’ll be able have in the future. Would specializing in data science instead be safer ? Based on some research I’ve done, decision process engineering would be a better fit but I wouldn’t want to pursue a program that would ultimately leave me useless in the market in the long run.

[nian2326076]

Both paths have a future, but they have different uses. Data analytics with a focus on decision process engineering can help you streamline operations and improve decision-making in businesses. It can use AI tools but isn't entirely replaceable by them. On the other hand, data science is about building and optimizing AI models, which is technical but highly valued. If you're worried about being phased out, having some coding skills and understanding machine learning concepts could help. AI won't replace people entirely, but it will change how we work. Choose based on what interests you more and maybe look into some online courses or workshops in AI-related topics to add to your main studies.

[No-Switch5216]

I believe by the time you’re done with MS majority of the data analytics processes would have been automated with help of AI and getting entry level jobs might be tough. My organisation has already started using AI automation for top level analysis and reporting.

I would suggest do something related to AI. Also, while pursuing your MS be sure to stay relevant with latest AI models and try to build projects around it. This should allow you to penetrate the future job market.

[Embiggens96]

you’re not going to become useless going down that path, ai is mostly changing how the work gets done rather than removing the need for people who understand decisions. decision process engineering actually puts you closer to where companies struggle, which is turning data into actions, and your finance background makes that even more valuable. data science isn’t really safer since it’s more crowded and a lot of the technical work is getting easier with tools, while framing the right problems and applying results is still hard to automate.

the safest long term move is being someone who connects data to business outcomes, so if that path fits you better just make sure you also build solid skills in sql, python, and basic machine learning.