Course Structure Overview

The Finance program at RKDF INSTITUTE OF MANAGEMENT is structured over eight semesters, with a carefully designed progression from foundational knowledge to advanced specialization. Each semester includes core courses, departmental electives, science electives, and mandatory laboratory components.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
1	MAT101	Calculus I	3-1-0-4	-
1	ECO101	Introduction to Microeconomics	3-1-0-4	-
1	ACC101	Financial Accounting	3-1-0-4	-
1	FIN101	Introduction to Finance	3-1-0-4	-
1	MAT102	Calculus II	3-1-0-4	MAT101
2	Eco102	Introduction to Macroeconomics	3-1-0-4	-
2	MAT201	Statistics for Finance	3-1-0-4	MAT102
2	ACC201	Managerial Accounting	3-1-0-4	ACC101
2	FIN201	Corporate Finance	3-1-0-4	FIN101
2	FIN202	Financial Markets	3-1-0-4	-
3	MAT301	Probability and Random Variables	3-1-0-4	MAT201
3	FIN301	Investment Analysis	3-1-0-4	FIN201
3	FIN302	Risk Management	3-1-0-4	FIN201
3	FIN303	Financial Derivatives	3-1-0-4	FIN201
3	FIN304	Portfolio Theory and Management	3-1-0-4	FIN201
4	FIN401	Behavioral Finance	3-1-0-4	FIN301
4	FIN402	Sustainable Investing	3-1-0-4	FIN301
4	FIN403	Quantitative Methods in Finance	3-1-0-4	MAT301
4	FIN404	Financial Engineering	3-1-0-4	FIN303
5	FIN501	Advanced Corporate Finance	3-1-0-4	FIN201
5	FIN502	Mergers & Acquisitions	3-1-0-4	FIN201
5	FIN503	Fixed Income Securities	3-1-0-4	FIN201
5	FIN504	International Finance	3-1-0-4	FIN201
6	FIN601	Financial Innovation & Fintech	3-1-0-4	FIN404
6	FIN602	Algorithmic Trading	3-1-0-4	FIN304
6	FIN603	Private Equity & Venture Capital	3-1-0-4	FIN501
6	FIN604	Financial Risk Modeling	3-1-0-4	FIN403
7	FIN701	Capstone Project in Finance	2-0-4-6	All previous courses
7	FIN702	Financial Strategy & Policy	3-1-0-4	FIN501
7	FIN703	Advanced Topics in Finance	3-1-0-4	FIN601
7	FIN704	Financial Ethics & Governance	3-1-0-4	FIN201
8	FIN801	Research Seminar in Finance	2-0-4-6	All previous courses
8	FIN802	Industry Internship	0-0-6-6	All previous courses

Advanced Departmental Electives

Our department offers a rich selection of advanced elective courses designed to deepen students' understanding of specialized areas within finance:

• Behavioral Finance (FIN401): This course explores how psychological biases and emotional factors influence financial decision-making. Students will analyze investor behavior, market anomalies, and the role of cognitive limitations in shaping financial outcomes.
• Sustainable Investing (FIN402): Focuses on integrating environmental, social, and governance (ESG) criteria into investment strategies. The course covers ESG scoring models, impact investing, green bonds, and sustainable portfolio construction.
• Quantitative Methods in Finance (FIN403): Utilizes mathematical and statistical tools to model financial systems, price securities, and optimize portfolios. Topics include stochastic calculus, Monte Carlo simulations, and machine learning applications.
• Financial Engineering (FIN404): Combines engineering principles with financial theory to design innovative financial products and solutions. The course covers derivatives pricing, risk management, and algorithmic trading strategies.
• Advanced Corporate Finance (FIN501): Delves into complex corporate financial decisions including capital structure, dividend policy, working capital management, and valuation techniques for various business entities.
• Mergers & Acquisitions (FIN502): Analyzes the process of corporate consolidation, including valuation methods, due diligence, negotiation strategies, and integration challenges in M&A transactions.
• Fixed Income Securities (FIN503): Provides comprehensive coverage of bond markets, interest rate risk, credit analysis, yield curve modeling, and fixed income portfolio management strategies.
• International Finance (FIN504): Examines global financial systems, exchange rate determination, international capital flows, and cross-border investment opportunities in emerging and developed economies.
• Financial Innovation & Fintech (FIN601): Explores the impact of digital technologies on traditional finance, including blockchain, AI, mobile banking, cryptocurrency, and decentralized finance (DeFi) platforms.
• Algorithmic Trading (FIN602): Introduces algorithmic strategies for trading and portfolio optimization. Students will learn about market microstructure, execution algorithms, high-frequency trading, and backtesting methodologies.
• Private Equity & Venture Capital (FIN603): Covers investment structures, due diligence processes, portfolio management, and exit strategies in private equity and venture capital markets.
• Financial Risk Modeling (FIN604): Develops advanced techniques for measuring, analyzing, and managing financial risks using quantitative models, stress testing, and scenario analysis.

Project-Based Learning Philosophy

At RKDF INSTITUTE OF MANAGEMENT, we believe that practical experience is essential to mastering finance. Our project-based learning approach integrates theoretical concepts with real-world applications:

• Mini Projects (Semesters 2-6): Students work in teams on short-term projects related to market analysis, financial modeling, or investment research. These projects are supervised by faculty members and evaluated based on analytical rigor and presentation quality.
• Final Year Thesis/Capstone Project (Semesters 7-8): The capstone project involves an in-depth investigation into a contemporary issue in finance. Students collaborate with industry mentors or faculty advisors to develop innovative solutions or research contributions.

Project selection is guided by student interests, faculty expertise, and current market trends. Each project undergoes a formal proposal process, including feasibility assessment, timeline planning, and milestone tracking. The final evaluation considers both the technical merit of the work and its potential impact on the field of finance.