When choosing between a computer science or statistics perspective for ML, it's important to consider your goals. Statisticians have high standards for theoretical guarantees and usually publish in journals. It may take 5-6 years after initial conception for a method to be accepted and used. On the other hand, computer science and ML move quickly with conferences as the primary venues. Methods and code quickly spread, and people start using them. In general, computer science is considered a better choice for ML than statistics departments. If you're considering the ISI Machine Intelligence Unit, note that it's mostly made up of statisticians who research fuzzy logic and publish in stats or application-specific journals. Their papers don't usually appear in flagship ML venues like NIPS, ICML, or KDD. When deciding between a CS or statistics Ph.D., also consider your employment options after graduation. The majority of people in top Indian labs like MSR, Google, and XRCI are CS PhDs, if not 100%. Statistics PhDs, on the other hand, typically work in actuarial firms or investment banks, which have different work objectives.

It's a much sought-after degree at Vignan University. My brother pursued the same and did his MS later. There are two ways to get an internship in the IISC Bangalore.  First, make an application to the Indian Academy of Sciences Summer Research Fellowship program and choose IISC in the institute preference option.  Second, simply email a professor and try to convince them to let your daughter intern at the IISC.  My brother chose the second option to get his preferred spot. 

ISI Kolkata is the best option for MSc in Maths, followed by IISc. IIT KGP is reputed in the technology domain, but for core science subjects, it’s not a good option. If you are interested to pursue pure Mathematics, choosing ISI is the best option among these. It specializes in the field. You will get better career opportunities and exposure in the field. 

 The benefits of studying an M.Tech at IISc Bangalore are: IISc brand: Attending IISC comes with many social benefits as you will be preferred over non-IITian competitors in your professional life. Affordability: Being a government initiative, IISC education is subsidized and affordable. The total fees for a four-year BS-MS course should be around Rs 15-20 lakhs, but students only have to pay around Rs 4 lakhs. Scholarships are also available for reserved category students, and banks are ready to give loans for studying at IISc Bangalore. Nation Building: Studying at IISc allows you to contribute to the growth of the nation, and by staying or returning back to India after gaining knowledge, you can utilize it for the future generations of the nation. IISCians are increasingly returning to India after globalization. Avoiding expensive study abroad: Studying abroad is an expensive dream that not everyone can afford, with costs ranging from Rs 10 lakhs for a five-year course to Rs 74 lakhs for more expensive universities. Studying at IISC saves you from the financial burden of studying abroad. Family matters: Staying in India after completing your education at IISC allows you to stay close to your family and contribute to the growth of your motherland, rather than facing challenges with cultural differences while living abroad.

Having to know some people from both these institutes, I can say that both have the sand management course but still, there's a lot of difference between the mindset of the two.  The curriculum remains the same but the change comes in the teaching method.  IISc, as usual, has a research-oriented way of teaching.  Whereas NITIE focuses more on the logical and decision-making skills from the managerial point of view. Both are different in the placement domain as there's a marginal difference between the average packages.  Also, IISc is a tier 2 college unlike NITIE. Categories PGDIE at NITIE Mumbai MMS at IISc Bangalore Course Fee 14.63 lakh 3.18 lakh Highest CTC 28 LPA 26 LPA Average CTC 15 LPA 12-18 LPA Recruiting Companies Wipro, ZS Associates, IBM, HP, etc. Infosys, Cognizant, Dell, TCS, etc. So ultimately it is your decision to choose between these two colleges. Assess every criteria before finalizing one. As this will shape your career further.