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Investment Banking Course

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    Building world-class accounting and finance professionals through rigorous, practical and industry-driven learning.

    Is Investment Banking the Right Fit for You?

    Answer a few quick questions to see how financial modelling and deal-focused roles fit your skills and career stage.

    Investment Banking Course Curriculum

    AI-powered, practical and industry-focused curriculum designed to build real deal skills, valuation expertise and job-ready knowledge for investment banking careers.

    • To efficiently build financial and business models, one needs to take the excel bull by the horns by learning the basics content and then graduating to advanced level content.

      The basics of excel will ensure learning and applying for relevant financial formulas, navigating in the model, scaling up speed and starting to creating, formulating and conceiving own formula in given situations. That is how we start

      • Mastering the use of keys instead of the mouse for efficient navigation and operations.
      • Freezing cells, rows, and columns to keep headers and key data in view.
      • Creating and managing linkages essential for building financial models.
      • Using VLOOKUP and HLOOKUP functions to search and retrieve data.
      • Solving complex problems with combinations like VLOOKUP + MATCH, INDEX + MATCH, and VLOOKUP + IF.
      • Converting rows to columns and vice versa with the Transpose function.
      • Utilizing table functionalities for dynamic data ranges and structured referencing.
      • Calculating loan EMIs using financial functions.
      • Performing calculations on arrays of data with the Sum Product function.
      • Sorting data efficiently and using advanced filters to overcome limitations of standard filters.
      • Applying conditional formatting to make data more insightful and visually appealing.
      • Using basic Excel formulas such as SUM, PRODUCT, DIVISION, MULTIPLICATION, Paste Special, and CONCATENATE.
      • Finding the relative position of items in an array with the MATCH function.
      • Calculating the Compound Annual Growth Rate (CAGR).
      • Using logical IF statements for conditional operations.
      • Creating and analyzing data summaries with Pivot Tables.
      • Understanding and applying absolute, relative, and mixed cell references.
      • Performing conditional summing and counting with SUMIF, COUNTIF, and SUMIFS.
      • Exploring various applications of the VLOOKUP function.
    • Once, the basic brushing is done with excel, now comes more complex formulas which help in coming out with meaty results from piles of voluminous data in a matter of seconds.

      • Using complex functions like INDEX, MATCH, and their combinations.
      • Mastering array formulas and dynamic arrays.
      • Using PivotTables and PivotCharts for data summarization and analysis.
      • Performing What-If Analysis including Scenario Manager and Goal Seek.
      • Creating dynamic and interactive charts.
      • Designing specialized charts such as Waterfall and Thermometer charts.
      • Recording and editing macros to automate repetitive tasks.
      • Writing and using VBA code for custom automation solutions.
      • Implementing Power Query for data transformation and cleaning.
      • Creating dashboards with interactive elements.
      • Using Conditional Formatting for visual data insights.
      • Protecting worksheets and workbooks with passwords and permissions.
      • Performing complex financial calculations such as NPV and IRR.
      • Using statistical functions for data analysis and interpretation.
      • Leveraging AI tools to enhance Excel functionality.
      • Applying advanced Excel skills to real-world business problems.
    • Introduction to AI in Excel: Revolutionizing Excel with AI tools.
    • Excel’s Built-in AI Features: Using Ideas (Insights) and Linked Data.
    • Advanced AI Tools in Excel: Power Query for data transformation and Power Pivot for data modeling.
    • Predictive Analytics: Forecasting tools and machine learning with Python and R.
    • Practical Applications: Real-world case studies and step-by-step project guide.
    •  
    • Before training you for the rigours of Financial modelling and Valuations, we make you conversant and comfortable with basic finance concepts. These concepts are absolutely critical to mastering any financial and valuation analysis.

      • Statement of Financial Position, Statement of Income & Expenses, Cash Flow Statement, different adjustments and their importance
      • Defining inter linking and relationships between the three financial statements and how does the accounting flow amongst them
      • Ratio Analysis of Financial Statements using major financial ratios including liquidity ratio, asset management ratio, debt management ratio and profitability ratio
      • How to determine the financial health of a company using multiple ratios
      • 3 Step and 5 Step DuPont Analysis
      • Margin of Safety analysis, Break Even point analysis
      • Present Discounted Value of Money (Time Value of Money).
    • Structured framework for model design and clarity
    • Strategic assumptions setting and scenario planning
    • Detailed revenue projection and business unit analysis
    • Comprehensive cost structure analysis and optimization
    • CapEx planning, asset lifecycle management, and depreciation forecasting
    • Working capital efficiency, including AR/AP management
    • Integrated financial statements for a holistic financial view
    • Advanced financial projections and strategic ratio analysis
    • Robust scenario modeling and sensitivity stress testing
    • Executive-level reporting and clear communication of financial insights
    • Advantages of NPV over IRR for assessing financial viability.
    • Building dynamic business models with multiple scenarios using XIRR and MIRR.
    • Developing and justifying assumptions before starting a business model.
    • Calculating cost of capital using WACC and CAPM formulas
    • Determining free cash flows to the firm and free cash flows to equity for assessing project profitability.
    • Covering real-life case studies across various sectors to understand how to assess the financial viability of a project before committing to any investment.
    • Understanding the concept and importance of Discounted Cash Flow (DCF) valuation.
    • Building detailed cash flow forecasts.
    • Free Cash Flows vs Normal Cash Flows
    • How to decide projection period (high growth period of a business)
    • Free Cash Flows to Firm vs Free Cash Flows to Equity
    • Treatment of specific non-cash items in calculation of Free Cash Flows
    • Calculating the Weighted Average Cost of Capital (WACC).
    • How to determine current cost of debt
    • Impact of sovereign rating based default spread in risk free rate
    • Estimation of Equity risk Premium (ERP)
    • Types of risk included in Beta
    • Levered vs Unlevered Beta
    • How to calculate beta for a private company
    • Impact of Target Capital Structure on Cost of Equity (Ke)
    • When to consider Size Premium in calculation of WACC
    • Estimating terminal value using perpetuity growth and exit multiple methods.
    • Performing sensitivity analysis to assess the impact of key assumptions.
    • Comparing DCF valuation with other valuation methods.
    • Applying DCF valuation to real-world companies.
    • Using DCF valuation in investment decision making.
    • Understanding the concept and importance of Discounted Cash Flow (DCF) valuation.
    • Building detailed cash flow forecasts.
    • Free Cash Flows vs Normal Cash Flows
    • How to decide projection period (high growth period of a business)
    • Free Cash Flows to Firm vs Free Cash Flows to Equity
    • Treatment of specific non-cash items in calculation of Free Cash Flows
    • Calculating the Weighted Average Cost of Capital (WACC).
    • How to determine current cost of debt
    • Impact of sovereign rating based default spread in risk free rate
    • Estimation of Equity risk Premium (ERP)
    • Types of risk included in Beta
    • Levered vs Unlevered Beta
    • How to calculate beta for a private company
    • Impact of Target Capital Structure on Cost of Equity (Ke)
    • When to consider Size Premium in calculation of WACC
    • Estimating terminal value using perpetuity growth and exit multiple methods.
    • Performing sensitivity analysis to assess the impact of key assumptions.
    • Comparing DCF valuation with other valuation methods.
    • Applying DCF valuation to real-world companies.
    • Using DCF valuation in investment decision making.
    • Overview of Transaction Comparables (Comps) and their strategic importance
    • Selecting appropriate comparable transactions
    • Collecting and validating transaction data
    • Adjusting data for consistency and comparability
    • Calculating key valuation multiples
    • Building a comprehensive transaction comps table in Excel
    • Interpreting and analyzing transaction comps for actionable insights
    • Assessing market conditions and deal-specific factors
    • Applying concepts through real-world case studies
    • Understanding the concept and purpose of Football Field Analysis.
    • How football field analysis is presented by analysts in pitch decks.
    • How football field analysis helps in deciding the overall valuation range of a target company.
    • Preparation of floating bar or column charts to represent the valuation range of a target company.
    • Understanding how football field analysis helps both buyers and sellers in an M&A deal in deciding the deal price.
    • Introduction to Mergers and Acquisitions
    • Types of Mergers: Horizontal, Vertical, Conglomerate
    • M&A Process Overview: Pre-transaction, Transaction, Post-transaction
    • M&A Deal Structures
    • Due Diligence Process: Financial, Legal, Operational
    • Valuation Techniques for M&A: Comparable Company Analysis (CCA), Precedent Transaction Analysis (PTA), Discounted Cash Flow (DCF) Analysis
    • M&A Modeling: Building M&A models in Excel
    • Synergies Analysis: Identifying and quantifying synergies
    • Deal Financing: Debt, Equity, Cash
    • Regulatory and Legal Considerations in M&A Transactions
    • Learn to analyze real-world financial scenarios and devise strategic solutions.
    • Case studies and practical applications
    • LBO Model (Valuation)
    • LBO – Transaction assumption
    • LBO – Debt assumption
    • LBO – Goodwill Calculation
    • LBO – Closing Balance Sheet
    • LBO – Income Statement
    • LBO – Balance sheet
    • LBO – CFS
    • LBO – Key Metrics
    • Articulating the purpose and essential components of a pitch book in investment banking and finance.
    • Developing compelling narratives to effectively communicate the value proposition of deals and investment opportunities.
    • Creating visually impactful presentations with professional design and layout techniques.
    • Integrating financial analysis, market research, and industry insights to substantiate the investment thesis.
    • Tailoring pitch books for specific audiences, including clients, investors, and key stakeholders.
    • Utilizing storytelling techniques and data visualization to present complex information clearly and persuasively.
    • Employing pitch books as a strategic tool to attract investors and secure financing in the deal-making process.
    • Basics of importing and transforming data using Power BI and Python.
    • Introduction to creating basic visualizations in Power BI and Python.
    • Overview of data modeling, relationship building, and simple analysis techniques in Power BI and Python.
    • Basics of advanced analytics concepts and simple machine learning applications in Power BI and Python.
    • Introduction to integrating Power BI with other tools and basic automation using Python scripts.
    • Gain an in-depth understanding of the futures and options (F&O) segment in the equity market.
    • Learn about sophisticated trading strategies employed by professional traders, including hedging, speculation, and arbitrage.
    • Explore techniques to manage and mitigate risks associated with F&O trading.
    • Apply theoretical knowledge to real-world scenarios through case studies and practical exercises.
    • Enhance your ability to analyze market trends and data for informed decision-making in the F&O market.

    Invetsment Banking Course Fees & Admission

    Learn financial modeling, valuation and M&A through practical, case-based training. Earn certification from The Wall Street School and get career support to prepare for investment banking roles.

    Investment Banking Course (8 Weeks)

    Instructor Led, Live Online +Classroom

    ₹ 50,000 + GST

    Invetsment Banking Course (3.5 Months)​

    Instructor Led, Live Online +Classroom

    ₹ 50,000 + GST

    Real Results Since 2009

    Build real investment banking skills through live deal case studies, valuation practice and hands-on Excel training, guided by CA Manoj Goel and CA Himanshu Goel. Get the right mentorship and career support to step confidently into IB, M&A, and corporate finance roles.

    Love From Our Students

    Explore firsthand accounts of student experiences. Hear their stories, triumphs, and insights that make our community exceptional. Real voices, real impact.

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    Frequently Asked Questions

    Everything You Need to Know Before You Get Started

    What is an Investment Banking course?

    An Investment Banking course prepares you for careers in IB, Private Equity, Corporate Finance and Consulting by teaching practical valuation, modeling, and deal execution skills.

    It is suitable for BCom, BBA, MBA, CA, CFA aspirants or working professionals who want strong practical exposure and industry-ready finance skills.

    You gain expertise in Excel, financial modeling, valuation, financial statement analysis and deal structuring along with tools like AI, Power BI, and Python.

    The focus is on hands-on case studies and real company analysis rather than only theoretical concepts.

    Roles include Investment Banking Analyst, Valuation Analyst, Equity Research Analyst and Corporate Finance professional.

    How is the course structured?

    The program starts with Excel and finance fundamentals, then moves to advanced financial modeling, DCF valuation, trading comps, transaction comps, M&A, LBO modeling and pitch book creation.

    Yes. Students build complete models, work on real-life case studies and perform valuation and deal analysis tasks similar to actual banking work.

    Yes. Training includes AI in Excel, Power BI and Python to improve speed, automation and data analysis.

    Through assignments, projects and case-based assessments that test real application of concepts.

    Yes. Case studies and simulations are designed to mirror real investment banking transactions and decision-making.

    What is the training fee for the course?

    The training fee is ₹50,000 + GST, which covers the complete Investment Banking program, study material and practical sessions.

    Yes. A ₹75,000 placement fee is payable only after you secure a job through The Wall Street School’s placement support and accept the offer.

    Basic knowledge of commerce or finance is helpful, but beginners can also join as the course starts from fundamentals.

    Students who complete the assessments are added to the placement pool and receive resume guidance, interview preparation and hiring opportunities through the corporate network.

    You can apply online or connect with a counselor to discuss your background, batch timings and enrollment process.

    What practical exposure does the Investment Banking Course provide?

    The Investment Banking Course focuses on hands-on deal-making skills through live case studies, M&A simulations, valuation exercises, LBO modeling training, and real-world pitch book preparation, ensuring strong practical investment banking training.

    This program is ideal for finance graduates, MBAs, CA/CMA/CPA professionals, working professionals, and leaders seeking investment banking professional upskilling or aiming to transition into corporate finance and investment banking roles.

    Unlike theory-heavy programs, this investment banking training institute emphasizes Excel for investment banking, AI in investment banking, transaction modeling, and real deal workflows used by global investment banks.

    Graduates can pursue roles in investment banking, private equity, corporate finance, equity research, M&A advisory, and valuation teams, offering a strong investment banking career scope in India.

    Yes, this is an investment banking course with placement, offering structured placement assistance, interview preparation, deal-based assessments, and access to TWSS’s corporate hiring network.

    With experienced trainers from Goldman Sachs and McKinsey, AI-driven curriculum, and strong placement outcomes, the program is widely regarded as one of the top investment banking courses in India.

    The investment banking curriculum includes advanced Excel, financial modeling, DCF valuation, trading and transaction comparables, M&A and valuation course modules, LBO modeling training, pitch books, Power BI, Python, and derivatives.

    Yes, the course integrates AI in investment banking, covering AI-driven Excel analysis, automation, forecasting, and modern analytical tools used by investment banks.

    Yes, students can learn investment banking online through live instructor-led classes or attend classroom sessions depending on the city.

    The course is available in major cities including investment banking course in Delhi, Mumbai, Bangalore, Chennai, Pune, Hyderabad, and Jaipur, as well as options for students searching investment banking classes near me.

    Students can choose between an 8-week full-time program or a 3.5-month weekend program, depending on availability and learning preference.

    The program includes Excel for investment banking, Power BI, Python basics, financial databases, valuation templates, and automation tools used in real investment banking operations.

    The program builds strong foundations for a career in corporate finance, covering capital structuring, valuation, feasibility analysis, and strategic financial decision-making.

    Yes, the curriculum includes private equity and investment banking course components such as LBO modeling, deal analysis, and transaction structuring.

    In the CFA vs investment banking comparison, CFA focuses on broad finance theory, while this course delivers role-specific, deal-oriented skills required for front-end investment banking jobs.

    Upon successful completion, candidates receive an Investment Banking Certification in India from The Wall Street School, recognized by financial institutions and corporates.

    Yes, the program is structured to support beginners through foundational finance modules before advancing into complex investment banking operations.

    TWSS combines industry-led faculty, real transaction exposure, AI-enabled learning, structured mentoring, and a success-based placement model—making it a best institute for investment banking.

    Absolutely. The course is designed for professionals seeking investment banking coaching near me to transition from accounting, audit, consulting, or analytics into deal-making roles.

    By offering practical skills, globally relevant certification, mentorship, and placement support, the program enables learners to grow into certified investment banking professionals with strong leadership potential.

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