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Fees
₹12,00,000
Placement
94.5%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Fees
₹12,00,000
Placement
94.5%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Seats
350
Students
350
Seats
350
Students
350
The Finance program at Gurukul Kangri Vishwavidyalaya Faculty Of Management Studies is meticulously structured to provide students with a comprehensive understanding of financial principles, analytical skills, and practical applications. The curriculum spans four years and includes core courses, departmental electives, science electives, and laboratory sessions designed to foster critical thinking and innovation.
| Year | Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| First Year | Semester 1 | FN-101 | Introduction to Financial Concepts | 3-0-0-3 | None |
| FN-102 | Financial Accounting Fundamentals | 3-0-0-3 | FN-101 | ||
| FN-103 | Economics for Finance | 3-0-0-3 | FN-101 | ||
| FN-104 | Business Statistics and Data Analysis | 3-0-0-3 | FN-101 | ||
| First Year | Semester 2 | FN-201 | Corporate Finance Principles | 3-0-0-3 | FN-102, FN-103 |
| FN-202 | Financial Markets and Institutions | 3-0-0-3 | FN-104 | ||
| FN-203 | Financial Risk Management | 3-0-0-3 | FN-201 | ||
| FN-204 | Mathematical Tools for Finance | 3-0-0-3 | FN-104 | ||
| Second Year | Semester 3 | FN-301 | Investment Analysis and Portfolio Management | 3-0-0-3 | FN-201, FN-202 |
| FN-302 | Derivatives and Risk Modeling | 3-0-0-3 | FN-203 | ||
| FN-303 | International Financial Markets | 3-0-0-3 | FN-201, FN-202 | ||
| FN-304 | Financial Statement Analysis | 3-0-0-3 | FN-201 | ||
| Second Year | Semester 4 | FN-401 | Behavioral Finance and Psychology | 3-0-0-3 | FN-301, FN-302 |
| FN-402 | Sustainable Finance and ESG Investing | 3-0-0-3 | FN-301 | ||
| FN-403 | Financial Technology and Fintech | 3-0-0-3 | FN-201, FN-301 | ||
| FN-404 | Quantitative Finance Methods | 3-0-0-3 | FN-204 | ||
| Third Year | Semester 5 | FN-501 | Advanced Corporate Valuation Techniques | 3-0-0-3 | FN-401, FN-402 |
| FN-502 | Mergers and Acquisitions | 3-0-0-3 | FN-301 | ||
| FN-503 | Credit Risk Assessment and Management | 3-0-0-3 | FN-203 | ||
| FN-504 | Financial Derivatives Pricing Models | 3-0-0-3 | FN-302 | ||
| Third Year | Semester 6 | FN-601 | Financial Market Regulation | 3-0-0-3 | FN-501 |
| FN-602 | Cryptocurrency and Digital Assets | 3-0-0-3 | FN-403 | ||
| FN-603 | Public Finance and Policy Analysis | 3-0-0-3 | FN-303 | ||
| FN-604 | Financial Engineering Projects | 2-0-2-4 | FN-501, FN-502 | ||
| Fourth Year | Semester 7 | FN-701 | Financial Research Methodology | 3-0-0-3 | FN-601, FN-602 |
| FN-702 | Capstone Project in Finance | 4-0-0-4 | FN-501, FN-603 | ||
| FN-703 | Financial Consulting and Strategy | 3-0-0-3 | FN-601 | ||
| FN-704 | Industry Internship in Finance | 2-0-2-4 | FN-701, FN-702 | ||
| Fourth Year | Semester 8 | FN-801 | Advanced Financial Modeling | 3-0-0-3 | FN-701 |
| FN-802 | Financial Leadership and Ethics | 3-0-0-3 | FN-701, FN-702 | ||
| FN-803 | Global Financial Crisis Analysis | 3-0-0-3 | FN-503 | ||
| FN-804 | Final Year Thesis in Finance | 4-0-0-4 | FN-702 |
Departmental electives are offered to deepen students' understanding of specialized areas within Finance. These courses are designed to align with industry demands and current trends in financial practices.
This course focuses on advanced portfolio theory, asset allocation strategies, risk-return trade-offs, and performance evaluation metrics. Students learn how to construct diversified portfolios based on client profiles, market conditions, and investment objectives. The course includes practical sessions using industry-standard software like Bloomberg Terminal and MATLAB for simulation and optimization.
This elective explores the mathematical foundations of derivatives pricing, including Black-Scholes model, binomial trees, Monte Carlo simulations, and numerical methods. Students gain proficiency in pricing options, futures contracts, swaps, and other complex instruments using quantitative techniques and computational tools.
This course introduces stochastic calculus, partial differential equations, and statistical inference in finance. Students learn to model financial processes, estimate parameters from data, and apply machine learning algorithms for forecasting and risk management purposes.
Students study creditworthiness evaluation techniques, default probability modeling, loan portfolio analysis, and regulatory frameworks governing credit institutions. The course emphasizes practical applications through case studies involving real-world credit events and regulatory compliance issues.
This elective covers environmental, social, and governance (ESG) factors influencing investment decisions. Students examine how sustainability criteria affect asset valuations, evaluate ESG reporting standards, and explore opportunities in green bonds, carbon credits, and impact investing.
The course explores the integration of technology in financial services, including blockchain applications, digital payment systems, robo-advisors, and algorithmic trading strategies. Students analyze regulatory implications and emerging business models in fintech startups and established institutions.
This advanced elective delves into decentralized finance (DeFi), tokenomics, smart contracts, and the role of cryptocurrencies in global financial systems. Students study blockchain architecture, cryptocurrency exchanges, and the regulatory landscape governing digital assets.
The course examines government fiscal policies, taxation systems, public sector budgeting, and economic development strategies. Students analyze the impact of public finance decisions on economic growth, income distribution, and social welfare programs.
This course covers strategic acquisition and divestiture processes, valuation techniques, due diligence procedures, and integration challenges. Students engage in simulations of M&A transactions and develop skills in negotiation and deal structuring.
The course focuses on regulatory frameworks governing financial markets, including capital adequacy requirements, market conduct rules, and supervisory practices. Students study the evolution of financial regulation post-crisis and evaluate policy interventions aimed at enhancing market stability.
Our project-based learning approach emphasizes experiential education where students apply theoretical concepts to real-world problems. The curriculum includes mandatory mini-projects in the second and third years, culminating in a final-year thesis or capstone project.
The structure of these projects involves selecting a topic relevant to current industry challenges, forming interdisciplinary teams, conducting research or simulations, presenting findings, and receiving feedback from faculty mentors and industry experts. Evaluation criteria include innovation, methodology, data analysis, presentation quality, and practical applicability.
Mini-projects are undertaken during the second year to reinforce learning outcomes in core subjects such as financial modeling, risk assessment, and market analysis. These projects require students to work in small groups on specific financial problems or case studies provided by faculty or industry partners.
The final-year thesis is a significant research endeavor where students conduct an independent study under the guidance of a faculty mentor. Topics can range from empirical analysis of financial markets to designing innovative financial products or evaluating regulatory frameworks. The capstone project allows students to integrate knowledge from all previous semesters and demonstrate mastery in their chosen area of specialization.
Students begin choosing their thesis topics early in the final year, often aligning with ongoing research initiatives at the institute or industry collaboration opportunities. Faculty mentors are assigned based on expertise alignment, ensuring that students receive adequate support throughout their research journey.
