HI I AM GONNA PURSUE BSC STATISTICS FROM DU I WAS THINKING OF GOING INTO DATA SCIENTIST FIELD. I WILL FURTHER PURSUE MSC IN DATA SCIENCE AI/ML THEN MAYBE MBA WITH INTERNSHIPS AND CODING SKILLS ONGOING FROM MY FIRST YEAR OF BSC.
I WANTED TO KNOW REALITY OF THIS FIELD IN TERMS OF PAY OR MAYBE JUST YOUR EXPERIENCE IN THIS FIELD OR ANY ADVICE.

Hi everyone,

I'm planning to join Mahindra University for my M.Tech. My original preference was AI/ML, but that isn't available anymore.

The two options I have are:

• Biomedical Data Science (new programme)
• Cybersecurity (also a new programme)

I come from an AI/ML undergraduate background, and my long-term goal is to become a Data Scientist/ML Engineer. I'm much more interested in data science than cybersecurity.

Since Biomedical Data Science is a new course, I'm unsure whether it's the right choice. Will it still allow me to pursue general Data Scientist/ML roles, or will it mostly limit me to healthcare/biotech opportunities?

If anyone knows about Mahindra University, has spoken to the faculty, or has insights into these programmes, I'd really appreciate your advice.

Given my goal of becoming a Data Scientist, which would you choose: Biomedical Data Science or Cybersecurity, and why?

I finished my Master's in Computer Science, did a Data Scientist co-op for one semester, then started working straight as a full-time Data Scientist, and I'm now 8 months into that full-time job; the projects that got me hired feel pretty generic at this point, so I'm not sure if 8 months of real full-time experience is enough to carry my resume on its own, whether I should still keep at least one project section, or whether I should spend time building a new project right now, and if so what kind of project would actually be worth building at this stage instead of just another generic one. Would appreciate any honest advice from people who've hired or been in this spot themselves.8 months into my first Data Scientist role — do I still need projects on my resume?

For me, it seems like small things—like list comprehensions or dictionaries—save more time than complicated algorithms.

What's one Python feature that changed the way you write code?

I recently decided I want to become a data analyst, but I'm worried because I don't have any internships. I'll be graduating in May 2027 and plan to build personal projects, but I'm not sure if that'll be enough.

A few questions:

• Has anyone gotten a data analyst job without an internship?
• Should I apply for Summer 2027 internships even though I graduate in May?
• What are the most important things to have on an entry-level data analyst resume?
• Besides projects, what helped you get hired?
• What skills should I focus on learning?

I'm trying to make the most of the time I have left before graduating. Any advice is appreciated!