PGDM in Quantitative Finance at NBS: Master AI-Driven Finance with Global Certifications

It’s a two-year, AICTE-approved program that blends finance, mathematics, statistics, and technology. The curriculum is designed for students who wish to build data-driven financial decision-making and investment analysis skills for the modern financial world.

Unlike conventional finance programs, this course integrates quantitative modeling, financial analytics, and algorithmic decision-making. It goes beyond accounting and theory — focusing on fintech applications, risk modeling, and portfolio management through data and computation.

Yes. The PGDM in Quantitative Finance is AICTE-approved and delivered by Narayana Business School, Ahmedabad. The program aligns with global standards in quantitative and analytical finance and is highly regarded by corporates and financial institutions.

Students undergo exclusive training from EY CAFTA, gaining real-world exposure to risk analysis, valuation, audit analytics, and financial transformation tools. The EY certification enhances employability and adds strong industry validation to the PGDM.

Applicants must hold a bachelor’s degree with a minimum of 50% marks or equivalent CGPA. Final-year students can apply.
The selection process at Narayana Business School involves 4 stages:
Submission of Application form via NBSAT or CAT, XAT, NMAT, CMAT.
Qualify Narayana Business School Aptitude Test (NBSAT) or Other Entrance Test with Cutoffs CAT ≥ 75, XAT ≥ 70, CMAT ≥ 80, NMAT ≥ 180.
Appear for Psychometric Profiling (Online).
Appear for Online Personal Interview (PI).
Candidates must successfully complete and qualify each stage to be eligible for admission to the postgraduate programs at NBS.

Students earn certifications through EY CAFTA and exposure to CFA-aligned modules focusing on ethics, quantitative methods, portfolio management, and investment analysis — bridging academic learning with professional global finance standards.

The program trains students in Excel for Finance, R, Python, Bloomberg Terminal, and key financial modeling software. You’ll learn to apply data analytics, simulation, and algorithmic thinking to real-world finance challenges.

Yes. Students work on live financial datasets through Bloomberg labs, stock simulations, and valuation projects. The curriculum ensures that every learner graduates with practical market insights and research capabilities.

Yes. NBS offers optional global immersion modules and international business simulations, giving students exposure to global financial markets and multi-currency decision frameworks.

The program is taught by finance scholars, data scientists, and industry experts from banking and fintech domains. NBS follows a three-layer mentorship system — academic mentors, industry mentors, and peer mentors — for continuous guidance and career development.

Graduates pursue roles such as Financial Analyst, Quantitative Researcher, Investment Banker, Risk Manager, Portfolio Analyst, and Fintech Consultant, with opportunities across BFSI, consulting, and global analytics firms.

Top recruiters include financial institutions, consulting firms, fintech start-ups, and analytics-driven enterprises. The placement cell maintains relationships with corporates across BFSI, investment research, and data advisory sectors.

NBS provides structured pre-placement training, interview preparation, resume workshops, and corporate networking sessions. Students also participate in live market research projects and presentations that help them stand out during recruitment drives.

Yes. NBS offers absolute-value scholarships (up to ₹ 4 lakh) based on academic merit, CAT/NBSAT performance, and diversity criteria. Students can also access education loans via Credila (HDFC Ltd.), GrayQuest, Propelled Finance, and Vidya Lakshmi Portal.

You can apply online through the NBS website. Submit your application, upload required documents, and pay the registration fee. Eligible candidates are shortlisted for the personal interview round based on test scores and academic performance.