Post Graduate Diploma in Management (PGDM) in Quantitative Finance (QF)

Two-year, full-time, residential, AICTE-approved program.

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Ranked Business School for “Future Orientation” BT-MDRA Rankings 2023

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Program Overview & Highlights

The PGDM in Quantitative Finance (QF) at Jagdish Sheth School of Management (JAGSoM), Bangalore, is tailored for top-tier engineering, science, mathematics, or statistics graduates in India. It equips them with advanced skills in Financial Mathematics, Financial Engineering, and Financial Analytics. The program integrates mathematical models, stochastic processes, computational and machine learning techniques, and financial theories to prepare graduates for careers in finance, risk management, quantitative trading, and investment analysis.

Two-year, full-time, residential, AICTE-approved program.
The first cohort starts in August 2024.
Assured placement opportunity.
Limited 20 seats per academic year.
Exclusively for the recent graduates of IITs, IIITs, BITSs, NITs ISIs, Chennai Mathematical Institute and other similar top institutions in India.
Industry Internship.
Fully funded by JAGSoM – covering tuition fee, boarding and lodging. Graduates repay a part of the cost (INR 5,00,000) in installments to JAGSoM after they are employed.

Features of PGDM QF Program

Program Objectives

Comprehensive Understanding

To provide a thorough understanding of quantitative finance, integrating theory with practical applications.

Skill Development

To develop proficiency in stochastic modelling, risk management, algorithmic trading, and investment strategies.

Leadership Preparation

To prepare students for leadership roles in finance by augmenting their analytical, technical, and decision-making skills.

Global Perspective

To offer a global perspective on financial instruments used by investment banks and hedge funds.

FinTech in India

To prepare students for the flourishing and promising rise of FinTech in India.

Technological Advancements

Regulatory Changes

Market Demand

Sustainability and ESG

Quantitative Analyst

Algorithmic Trader

Financial Engineer

Indicative Salaries (Mid-Career)

Admission Selection Process

JAGSoM looks at innovation potential, solution orientation and value fit of the candidates, besides their consistent academic performance and work experience for admission into its PGDM in Quantitative Finance (QF).


Selection Process

Desired Skills

Important Dates

Curriculum and Program Structure

The PGDM – Quantitative Finance program at JAGSoM offers a comprehensive curriculum designed to equip students with the necessary skills and knowledge to excel in the competitive field of quantitative finance. Through a combination of rigorous coursework, practical experience, and industry engagement, the program prepares graduates for successful careers in different domains of Quantitative Finance. The curriculum includes:

Certifications (Optional)

Year 1Term 1Term 2Term 3
  1. Financial Accounting
  2. Human Capital Management
  3. Marketing Management
  4. Managerial Decision Making
  5. Organizational Behaviour
  6. Corporate Finance
  7. Business Economics
  8. Python Programming
  9. Probability and Statistics
1. Macroeconomics
2. Probability and Statistics
3. C/C++ Programming
4. Fundamental of Derivatives
6. Time Series Analysis with Python
  1. Econometrics and Financial Time-Series Analysis in Python
  2. Quantitative Fixed- Income Security
  3. Fundamentals of Derivatives
  4. Advanced Corporate Finance
  5. Machine Learning for Finance
  Year 2Term 4Term 5Term 6
  1. Stochastic Calculus for Finance
  2. Deep Learning for Finance
  3. Advanced Derivatives
  4. Portfolio Optimization
  5. Technical Analysis
  1. Reinforcement Learning
  2. Computational Methods in Finance
  3. Stochastic Modelling
  4. Financial Risk Modelling
  5. Quantitative Trading Techniques
  1. Signal Processing: Fourier, Laplace and Wavelet Transform
  2. C/C++ Programming
  3. Optimization Methods in Finance
Capstone Project

Key Program Faculty

The PGDM-QF program is taught by a distinguished faculty comprising academicians and industry professionals with extensive experience in quantitative finance. Guest lectures and workshops by industry experts further enrich the learning experience.