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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Finance

    Indore Institute of Management and Research
    Duration
    4 Years
    Finance UG OFFLINE

    Duration

    4 Years

    Finance

    Indore Institute of Management and Research
    Duration
    Apply

    Fees

    N/A

    Placement

    92.0%

    Avg Package

    ₹5,00,000

    Highest Package

    ₹8,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Finance
    UG
    OFFLINE

    Fees

    N/A

    Placement

    92.0%

    Avg Package

    ₹5,00,000

    Highest Package

    ₹8,00,000

    Seats

    N/A

    Students

    N/A

    ApplyCollege

    Seats

    N/A

    Students

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    Curriculum

    Curriculum Overview for B.Tech Finance at INDORE INSTITUTE OF MANAGEMENT AND RESEARCH

    The Finance curriculum is designed to provide students with a comprehensive understanding of financial principles, practical skills, and real-world applications. The program spans eight semesters, integrating foundational knowledge with advanced specializations.

    Semester Course Code Course Title Credit Structure (L-T-P-C) Prerequisites
    1 FNC101 Introduction to Finance 3-0-0-3 -
    1 MTH101 Calculus and Differential Equations 4-0-0-4 -
    1 ECS101 Basic Economics Concepts 3-0-0-3 -
    1 MTH102 Linear Algebra and Probability 4-0-0-4 MTH101
    1 FIN101 Financial Accounting Fundamentals 3-0-0-3 -
    2 FNC201 Corporate Finance 3-0-0-3 FNC101, MTH102
    2 ECS201 Macroeconomics 3-0-0-3 ECS101
    2 MTH201 Statistics for Finance 4-0-0-4 MTH102
    2 FNC202 Financial Markets and Institutions 3-0-0-3 -
    2 FIN201 Intermediate Financial Accounting 3-0-0-3 FIN101
    3 FNC301 Investment Analysis 3-0-0-3 FNC201, MTH201
    3 ECS301 Microeconomics 3-0-0-3 ECS201
    3 MTH301 Financial Mathematics 4-0-0-4 MTH201
    3 FNC302 Derivatives and Risk Management 3-0-0-3 FNC201
    3 FIN301 Financial Reporting and Analysis 3-0-0-3 FIN201
    4 FNC401 International Finance 3-0-0-3 FNC201, ECS301
    4 MTH401 Quantitative Methods in Finance 4-0-0-4 MTH301
    4 FNC402 Fixed Income Securities 3-0-0-3 FNC301
    4 FNC403 Behavioral Finance 3-0-0-3 FNC301
    5 FNC501 Advanced Corporate Finance 3-0-0-3 FNC201, FNC401
    5 FNC502 Financial Econometrics 3-0-0-3 MTH401
    5 FNC503 Portfolio Theory and Management 3-0-0-3 FNC301
    5 FIN501 Advanced Financial Accounting 3-0-0-3 FIN301
    6 FNC601 Financial Engineering 3-0-0-3 FNC502
    6 FNC602 Regulatory and Compliance in Finance 3-0-0-3 FNC401
    6 FNC603 Financial Modeling and Valuation 3-0-0-3 FNC501
    7 FNC701 Capstone Project in Finance 2-0-0-2 FNC503, FNC601
    7 FNC702 Special Topics in Finance 3-0-0-3 FNC601, FNC602
    8 FNC801 Research Thesis in Finance 4-0-0-4 FNC701

    Detailed Course Descriptions for Advanced Departmental Electives

    Investment Analysis (FNC301): This course delves into the principles of investment analysis, portfolio theory, security valuation models, and risk assessment techniques. Students learn how to conduct fundamental and technical analysis of equities, bonds, and derivatives using real-world datasets and financial databases.

    Financial Markets and Institutions (FNC202): Designed to give students a deep understanding of the structure and function of financial markets, including money markets, capital markets, insurance markets, and central banking systems. The course emphasizes institutional structures, regulatory environments, and their impact on market efficiency.

    Derivatives and Risk Management (FNC302): This advanced elective introduces students to derivative instruments such as forwards, futures, options, and swaps. It covers pricing models, hedging strategies, and risk management frameworks used by financial institutions in volatile markets.

    International Finance (FNC401): An exploration of international monetary systems, exchange rate determination, international capital flows, and cross-border investment decisions. Students examine global financial integration and its implications for firms and investors operating in multiple jurisdictions.

    Financial Econometrics (FNC502): This course applies statistical methods to analyze financial data, covering regression analysis, time series modeling, panel data techniques, and volatility forecasting models. Students gain proficiency in econometric software packages like Stata, R, and MATLAB for financial research.

    Behavioral Finance (FNC403): Examines the psychological factors influencing financial decision-making, including cognitive biases, herding behavior, market anomalies, and investor sentiment. The course integrates insights from psychology, neuroscience, and economics to explain deviations from rational expectations theory.

    Fixed Income Securities (FNC402): Focuses on bond markets, interest rate dynamics, credit risk analysis, yield curve modeling, and portfolio strategies for fixed income investments. Students gain hands-on experience in pricing bonds, calculating duration and convexity measures, and managing credit risk in fixed income portfolios.

    Financial Engineering (FNC601): Combines mathematical finance with computational tools to design and price complex financial instruments. Topics include stochastic calculus, Monte Carlo simulations, numerical methods for option pricing, and algorithmic trading strategies using Python and C++.

    Regulatory and Compliance in Finance (FNC602): Addresses the regulatory landscape governing financial institutions, including Basel III requirements, Dodd-Frank Act provisions, anti-money laundering regulations, and cybersecurity standards. The course explores compliance frameworks, internal control mechanisms, and risk-based supervision approaches.

    Financial Modeling and Valuation (FNC603): Teaches students to build comprehensive financial models for valuing companies, projects, and assets using DCF techniques, comparable company analysis, and precedent transaction analysis. Emphasis is placed on Excel modeling skills, scenario planning, and sensitivity analysis.

    Portfolio Theory and Management (FNC503): Covers modern portfolio theory, mean-variance optimization, capital asset pricing model, and multi-asset allocation strategies. Students learn to construct diversified portfolios based on investor preferences, risk tolerance levels, and market conditions.

    Project-Based Learning Philosophy

    The department places significant emphasis on project-based learning as a core component of the Finance curriculum. Projects are designed to simulate real-world scenarios, encouraging students to apply theoretical concepts in practical settings.

    Mini-projects begin in the second year and gradually increase in complexity and scope throughout the program. These projects involve working in teams to solve industry-related problems, conduct financial analyses, and present findings to faculty and peers.

    The final-year capstone project allows students to choose a topic of personal interest within Finance, typically aligned with one of the specializations offered. Faculty mentors guide students through research design, data collection, analysis, and presentation preparation.

    Evaluation criteria for projects include technical accuracy, innovation, clarity of communication, teamwork effectiveness, and adherence to academic standards. Students receive feedback at various stages of project development to ensure continuous improvement and learning outcomes alignment.