Hi Guys,

Looking for structured advice on a career pivot and would genuinely appreciate perspectives from people who've been through this or hired for DS roles.

My background

• 5+ years in product analytics (Last 3 years at Senior Product Analyst at Zepto and 1mg)
• Strong SQL, comfortable with Python/Pandas (slightly rusty, actively fixing that)
• Domain depth in e-commerce, pharma, and startup ecosystems
• Based in Bengaluru, India

Goal: Move from product analytics into a proper Data Science / ML role — not just "analytics with a fancier title," but actual modelling, ML pipelines, and applied AI work.

Why not self-paced courses

I've ruled out self-paced Coursera routes — the quality is inconsistent, there's no accountability structure, and frankly the credential doesn't carry weight the way a degree from a reputed institution does. I want something that forces rigour, have structure and credibility.

Please correct me if I am wrong here.

The four options I'm evaluating

1. UT Austin MSDS
2. Georgia Tech OMSA
3. IIT Madras Diploma in Data Science
4. BITS Pilani M.Tech (WILP)

Specific questions I'd love answers to

1. Which of the above will help me get hired in DS Roles once I complete the degree?
2. How hard it is to get into these programs?
3. UT Austin is generally said to be a better program than GT's Program, How significant it is? How does it affects the job hunting process?

Thanks in advance