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M.Stat

2 Years 1 College
NIRF Ranked
1
college
Best Rank
#101
NIRF 2025
Government
1
college
Fee Range
₹5,000
onwards

Top Ranked M.Stat Colleges in India - NIRF 2025

The National Institutional Ranking Framework (NIRF) ranks colleges offering M.Stat (M.Stat) based on teaching, research, graduation outcomes, outreach, and perception. Below are the top 1 NIRF-ranked colleges for M.Stat in India. Fees at these ranked colleges range from ₹5,000 to ₹5,000.

NIRF Rank College Type Total Fees
#101 Indian Statistical Institute Kolkata

Kolkata, West Bengal

Government ₹5,000 View

About NIRF Rankings

The National Institutional Ranking Framework (NIRF) was launched by the Ministry of Education, Government of India. Colleges are evaluated on five broad parameters: Teaching, Learning & Resources (TLR), Research and Professional Practice (RP), Graduation Outcomes (GO), Outreach and Inclusivity (OI), and Peer Perception. NIRF rankings are widely regarded as the most authoritative government ranking for higher education institutions in India.

QS India M.Stat College Rankings 2025

1 colleges ranked by QS India

Rank College
16 ISI Kolkata
Kolkata, West Bengal

Frequently Asked Questions - M.Stat College Rankings

ISI's statistics department is among the world's most respected. While specific programme rankings vary by methodology, ISI's research output and alumni impact in statistics place it alongside top global statistics departments. The programme has produced numerous distinguished statisticians.

ISI's MStat is more specialised and theory-intensive than MSc Statistics at IITs. For pure statistics and research careers, ISI is the preferred choice. IIT MSc programmes offer broader exposure and may suit students interested in applied statistics within an engineering context.

ISI's brand is highly valued in statistics, data science, and quantitative fields globally. The ISI network and reputation open doors at top companies, research labs, and universities worldwide. The alumni network is particularly strong in academia and quantitative finance.