Comprehensive Course Structure
The Finance program at The Institute Of Chartered Financial Analysts Of India University Aizawl is structured over 8 semesters, with a carefully balanced mix of core courses, departmental electives, science electives, and laboratory sessions designed to provide students with a robust foundation in financial principles while allowing for specialization.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | FNF-101 | Financial Accounting | 3-1-0-4 | None |
| 1 | FNF-102 | Mathematics for Finance | 4-0-0-4 | None |
| 1 | FNF-103 | Economics Principles | 3-1-0-4 | None |
| 1 | FNF-104 | Introduction to Finance | 3-1-0-4 | None |
| 1 | FNF-105 | Computer Applications in Finance | 2-0-2-3 | None |
| 2 | FNF-201 | Financial Management | 3-1-0-4 | FNF-101, FNF-102 |
| 2 | FNF-202 | Corporate Finance | 3-1-0-4 | FNF-101, FNF-102 |
| 2 | FNF-203 | Quantitative Methods in Finance | 4-0-0-4 | FNF-102 |
| 2 | FNF-204 | Financial Markets and Institutions | 3-1-0-4 | FNF-103 |
| 2 | FNF-205 | Financial Modeling Lab | 0-0-3-2 | FNF-102, FNF-104 |
| 3 | FNF-301 | Investment Analysis | 3-1-0-4 | FNF-201, FNF-203 |
| 3 | FNF-302 | Portfolio Management | 3-1-0-4 | FNF-301 |
| 3 | FNF-303 | Risk Management | 3-1-0-4 | FNF-203, FNF-204 |
| 3 | FNF-304 | Derivatives and Options | 3-1-0-4 | FNF-203 |
| 3 | FNF-305 | Financial Analysis Lab | 0-0-3-2 | FNF-201, FNF-203 |
| 4 | FNF-401 | Mergers & Acquisitions | 3-1-0-4 | FNF-201, FNF-301 |
| 4 | FNF-402 | Fixed Income Securities | 3-1-0-4 | FNF-301, FNF-304 |
| 4 | FNF-403 | International Finance | 3-1-0-4 | FNF-204 |
| 4 | FNF-404 | Financial Planning and Analysis | 3-1-0-4 | FNF-201, FNF-301 |
| 4 | FNF-405 | Advanced Financial Modeling Lab | 0-0-3-2 | FNF-301, FNF-305 |
| 5 | FNF-501 | Behavioral Finance | 3-1-0-4 | FNF-301 |
| 5 | FNF-502 | Sustainable and ESG Finance | 3-1-0-4 | FNF-301, FNF-303 |
| 5 | FNF-503 | Financial Econometrics | 3-1-0-4 | FNF-203, FNF-301 |
| 5 | FNF-504 | Quantitative Risk Management | 3-1-0-4 | FNF-303 |
| 5 | FNF-505 | Fintech and Digital Finance | 3-1-0-4 | FNF-203, FNF-304 |
| 6 | FNF-601 | Advanced Portfolio Theory | 3-1-0-4 | FNF-302 |
| 6 | FNF-602 | Financial Derivatives Pricing | 3-1-0-4 | FNF-304 |
| 6 | FNF-603 | Corporate Governance | 3-1-0-4 | FNF-202 |
| 6 | FNF-604 | Financial Regulation and Compliance | 3-1-0-4 | FNF-303 |
| 6 | FNF-605 | Research Methodology in Finance | 2-0-2-3 | FNF-203, FNF-301 |
| 7 | FNF-701 | Capstone Project - Financial Analysis | 0-0-6-6 | All previous courses |
| 7 | FNF-702 | Financial Research and Thesis | 0-0-6-6 | All previous courses |
| 8 | FNF-801 | Advanced Financial Applications | 0-0-6-6 | All previous courses |
| 8 | FNF-802 | Industry Internship | 0-0-12-12 | All previous courses |
Detailed Course Descriptions for Advanced Departmental Electives
The advanced departmental elective courses in our Finance program are designed to provide students with specialized knowledge and practical skills in emerging areas of financial research and practice. These courses are typically offered in the later semesters and are taught by faculty members who are leading experts in their respective fields.
One such course is Behavioral Finance, which explores how psychological factors influence financial decision-making. This course delves into concepts such as cognitive biases, heuristics, and prospect theory to understand why investors often make irrational financial choices. Students learn to identify behavioral patterns in market data and develop strategies for mitigating the impact of emotional decision-making on financial outcomes.
The Sustainable and ESG Finance course examines the integration of environmental, social, and governance factors into investment decisions. This course covers ESG rating methodologies, sustainable investment strategies, and the role of ESG factors in risk assessment. Students engage with real-world case studies from leading financial institutions to understand how ESG considerations are being incorporated into portfolio management and corporate finance.
Another advanced elective is Financial Econometrics, which focuses on applying statistical methods to financial data analysis. This course covers time series analysis, regression models, and econometric techniques specific to financial markets. Students learn to use software packages like R and MATLAB for financial modeling and forecasting, developing skills that are highly valued by employers in quantitative finance roles.
The Quantitative Risk Management course provides students with advanced tools for measuring and managing financial risk. Topics include value-at-risk (VaR) models, stress testing, and scenario analysis. Students work with real datasets to develop risk management frameworks that can be applied in practical settings.
Fintech and Digital Finance explores the impact of technology on financial services and institutions. This course covers blockchain applications, digital payments systems, robo-advisors, and mobile banking innovations. Students examine how fintech startups are disrupting traditional banking models and develop skills for working in the rapidly evolving digital finance landscape.
The Advanced Portfolio Theory course builds upon foundational portfolio management concepts to introduce students to sophisticated asset allocation techniques. This includes mean-variance optimization, factor models, and modern portfolio theory extensions. Students learn to apply advanced mathematical tools to optimize investment portfolios under various constraints.
Financial Derivatives Pricing delves into the mathematical foundations of derivatives valuation. This course covers stochastic calculus, Black-Scholes model, and binomial trees for pricing options and other derivatives. Students develop a deep understanding of how derivatives markets function and how to price complex financial instruments.
Corporate Governance examines the structure and functioning of corporate governance frameworks. This course explores board composition, executive compensation, shareholder rights, and ethical considerations in corporate decision-making. Students analyze real-world cases involving corporate governance failures and successful governance models.
The Financial Regulation and Compliance course provides an overview of regulatory frameworks governing financial institutions. Students study banking regulations, securities laws, anti-money laundering requirements, and compliance management systems. This course prepares students for careers in regulatory affairs and compliance roles within financial institutions.
These advanced electives are complemented by specialized laboratory sessions that provide hands-on experience with industry-standard tools and software. The finance lab is equipped with Bloomberg terminals, MATLAB, R programming environments, and other financial modeling software that enable students to conduct sophisticated analyses and simulations.
Project-Based Learning Philosophy
The Finance department at The Institute Of Chartered Financial Analysts Of India University Aizawl embraces a project-based learning approach that emphasizes real-world application of theoretical concepts. This methodology is integrated throughout the curriculum, with both mini-projects in earlier semesters and a comprehensive final-year capstone project.
Mini-projects begin in the second semester and are designed to help students apply fundamental concepts to practical scenarios. These projects typically involve analyzing financial data, conducting case studies, or developing simple financial models. Students work in teams to develop their skills in collaboration, research, and presentation.
The capstone project, undertaken in the seventh and eighth semesters, represents the culmination of a student's academic journey. Students select a topic related to their area of specialization and conduct original research under the guidance of a faculty mentor. The project must demonstrate advanced analytical skills, independent thinking, and the ability to communicate complex financial concepts effectively.
Project selection involves a structured process that includes topic proposals, faculty mentor matching, and preliminary research planning. Students are encouraged to choose projects that align with their career aspirations and personal interests while meeting academic standards for complexity and originality.
Evaluation criteria for project work include the depth of analysis, quality of methodology, clarity of presentation, and contribution to the field. Faculty members from different specializations serve as mentors, providing guidance on research design, data analysis, and professional development.
The department maintains a database of project topics and faculty expertise to facilitate matching between students and mentors. This ensures that students receive appropriate guidance while pursuing their individual interests within the framework of academic rigor.