PG Diploma in Financial Modeling & Valuation with AI
Advance your career to the highest level of business leadership. Transform your expertise into strategic impact with our globally recognized program.
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Course Overview
Financial Modeling
GTR Academy’s Financial Modelling & Valuation Course is a comprehensive, job-oriented program designed for beginners, graduates, and working professionals who want to build strong, industry-ready finance skills through hands-on learning. Recognized as the Best PG Diploma in Financial Modeling Online, this program delivers practical expertise aligned with current industry demands.
This Online Financial Modeling & Valuation with AI Certification integrates advanced tools and to help learners build smarter, data-driven financial models. As a leading Online Financial Course, it focuses on real-world applications used across Investment Banking, Corporate Finance, Consulting, and Financial Analysis roles.
Learners gain extensive hands-on experience in financial statement modelling, forecasting, DCF valuation, comparable company analysis, financial analysis, and advanced Excel-based applications. This Financial Modeling & Valuation Course ensures practical exposure rather than theoretical learning, preparing students for high-growth finance careers.
Designed as a career-focused Investment Banking Financial Modeling Course Online, the program emphasizes structured model building, valuation techniques, and decision-driven financial strategies used in global financial institutions.
With expert mentorship, real-time projects, and placement-focused training, participants earn a Financial Modeling Certification Online along with a verifiable Certificate of Completion from GTR Academy—significantly enhancing professional credibility and career opportunities in the finance industry.
This Online Financial Modeling & Valuation with AI Certification integrates advanced tools and to help learners build smarter, data-driven financial models. As a leading Online Financial Course, it focuses on real-world applications used across Investment Banking, Corporate Finance, Consulting, and Financial Analysis roles.
Learners gain extensive hands-on experience in financial statement modelling, forecasting, DCF valuation, comparable company analysis, financial analysis, and advanced Excel-based applications. This Financial Modeling & Valuation Course ensures practical exposure rather than theoretical learning, preparing students for high-growth finance careers.
Designed as a career-focused Investment Banking Financial Modeling Course Online, the program emphasizes structured model building, valuation techniques, and decision-driven financial strategies used in global financial institutions.
With expert mentorship, real-time projects, and placement-focused training, participants earn a Financial Modeling Certification Online along with a verifiable Certificate of Completion from GTR Academy—significantly enhancing professional credibility and career opportunities in the finance industry.
Program Highlights
Discover the advantages of Financial Modeling
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Career in Financial Modeling
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In-Depth Learning
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Skill Enhancement
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Professional Growth
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GTR Certification
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Future-Ready Skills
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Other Benefits
Step into the world of high-paying careers 🚀
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Years Operations
Know Your Mentor
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Certified SAP MM S/4 HANA
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Great Command over RICEFW Objects
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Solves complex cross module scenarios
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7+ Years Of Experience
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Trained 6000+ Students
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Simplifies Complex Concepts
Course Curriculum
- Excel is the backbone of every investment banking financial model.
- From valuation to deal structuring, mastering Excel is non-negotiable.
- This module is crafted by Big 4 banking experts, ensuring practical, industry-tested skills.
- Tailored for financial modeling, corporate finance, and private equity, this training accelerates your career readiness.
- Keyboard Shortcuts & Navigation Efficiency: Speed up modeling by replacing mouse clicks with precision key commands.
- Data Structuring & Linkages: Build robust financial models with dynamic references and interlinked sheets.
- Lookup & Match Functions: Master VLOOKUP, HLOOKUP, INDEX + MATCH for fast data retrieval in valuation models.
- Advanced Functions for Finance: Apply Sum Product, CAGR, IF statements, Pivot Tables to solve real-world banking problems.
- Financial Calculations: Compute loan EMIs, growth rates, and scenario analysis with accuracy.
- Data Visualization & Formatting: Use conditional formatting, filters, and tables to make insights visually compelling.
- Build investment banking-ready models with speed and accuracy.
- Confidently apply valuation formulas and advanced Excel functions.
- Present data in a way that grabs attention and drives decision-making.
- Advanced Excel separates analysts from associates in investment banking.
- This module transforms raw data into actionable insights at lightning speed.
- Led by Big 4 finance experts, every formula and function is aligned with real-world banking applications.
- Tailored for financial modeling, valuation, and deal analysis, ensuring you stand out in competitive finance roles.
- Complex Lookup Functions: Harness INDEX + MATCH combinations for precision-driven data retrieval in valuation models.
- Array & Dynamic Formulas: Solve multi-dimensional problems with array formulas and dynamic ranges for scalable models.
- PivotTables & PivotCharts: Summarize large datasets into investment banking dashboards for quick decision-making.
- Scenario & What-If Analysis: Use Goal Seek and Scenario Manager to model deal outcomes and capital structures.
- Specialized Charting: Build Waterfall and Thermometer charts to visualize M&A synergies and financial performance.
- Automation with VBA & Macros: Streamline repetitive tasks and create custom automation solutions for faster deal execution.
- Power Query & Data Cleaning: Transform raw financial data into structured models ready for corporate finance analysis.
- NPV & IRR Calculations: Apply advanced financial functions to evaluate investment opportunities and deal viability.
- Interactive Dashboards: Design banking-ready dashboards with conditional formatting and dynamic elements.
- Data Security: Protect sensitive deal models with passwords and permissions for compliance and confidentiality.
- Convert voluminous financial data into clear, actionable insights.
- Automate workflows to save hours in investment banking deal preparation.
- Present complex analysis through interactive dashboards and advanced charts that capture attention instantly.
- AI is transforming how analysts and associates work in investment banking.
- This module shows how to leverage AI-driven Excel tools to turn complex data into predictive insights.
- Built by Big 4 finance mentors, the content blends Excel mastery with AI applications used in real-world banking.
- Directly aligned with financial modeling, valuation, and deal analysis, ensuring you stay ahead in the digital finance era.
- AI-Driven Insights in Excel: Use built-in features like Ideas and Linked Data to uncover hidden financial patterns.
- Power Query & Power Pivot: Transform raw datasets into structured investment banking models with advanced AI-enabled tools.
- Predictive Analytics & Forecasting: Apply machine learning with Python and R for deal forecasting, capital planning, and risk analysis.
- Dynamic Data Modeling: Build scalable financial dashboards that adapt to changing market conditions.
- Automation with AI: Reduce manual effort by integrating AI-powered workflows into valuation and reporting tasks.
- Real-World Case Studies: Step-by-step projects showcasing AI in M&A analysis, IPO forecasting, and private equity deal evaluation.
- Harness AI-enhanced Excel to deliver faster, smarter financial insights.
- Apply predictive analytics to investment banking scenarios with confidence.
- Build future-ready models that combine Excel efficiency with AI intelligence.
- Before diving into financial modeling and valuation, every analyst must master the language of finance.
- This module builds the foundation for success in investment banking, private equity, and corporate finance.
- Delivered by Big 4 finance experts, the content ensures clarity in interpreting financial statements and ratios used in real-world deal analysis.
- These concepts are directly applied in valuation models, M&A transactions, and capital market advisory.
- Financial Statements Mastery: Understand the Statement of Financial Position, Income Statement, and Cash Flow Statement with adjustments critical for valuation.
- Interlinking Statements: Learn how accounting flows across the three statements, forming the backbone of financial modeling.
- Ratio Analysis: Apply liquidity, asset management, debt management, and profitability ratios to assess company performance.
- Financial Health Evaluation: Use multiple ratios to determine the strength and stability of a business in investment banking contexts.
- DuPont Analysis: Perform 3-step and 5-step DuPont breakdowns to uncover drivers of return on equity.
- Break-Even & Margin of Safety: Analyze cost structures and profitability thresholds to evaluate risk in corporate finance.
- Time Value of Money: Calculate Present Discounted Value of Money to understand capital budgeting and deal viability.
- Confidently interpret and connect financial statements for modeling and valuation.
- Apply ratio and DuPont analysis to measure performance and profitability.
- Use time value of money concepts to evaluate investments and corporate finance decisions.
- Financial modeling is the core skill every investment banker must master.
- This module equips learners with the structured frameworks and advanced techniques used in M&A, IPOs, private equity, and corporate finance.
- Built by Big 4 banking experts, the content mirrors real-world deal execution and valuation practices.
- Directly applied in investment banking pitchbooks, valuation reports, and strategic advisory projects.
- Structured Model Frameworks: Build clear, logical financial models with industry-standard design principles.
- Strategic Assumptions & Scenario Planning: Define key drivers and test multiple deal outcomes with scenario analysis.
- Revenue & Business Unit Forecasting: Project top-line growth and segment performance for accurate valuation.
- Cost Structure & Optimization: Analyze fixed vs variable costs to improve profitability and efficiency.
- CapEx & Depreciation Forecasting: Plan capital expenditures, asset lifecycle management, and depreciation schedules.
- Working Capital Management: Optimize accounts receivable, accounts payable, and inventory cycles for liquidity.
- Integrated Financial Statements: Link income statement, balance sheet, and cash flow for a holistic view.
- Advanced Projections & Ratios: Apply strategic ratio analysis to evaluate performance and financial health.
- Scenario & Sensitivity Testing: Stress-test models under different market conditions to assess risk exposure.
- Executive-Level Reporting: Present clear, concise insights through dashboards and professional reports.
- Design investment banking-ready models with clarity and precision.
- Forecast revenues, costs, and capital structures with confidence.
- Deliver executive-level insights that drive strategic decisions in finance.
- Every investment decision hinges on feasibility.
- This module equips learners with the analytical tools to evaluate whether a project is financially viable before capital is committed.
- Handcrafted by Big 4 finance experts, the content blends theory with practical case studies across industries.
- Directly applied in M&A, private equity, corporate finance, and capital budgeting, ensuring learners can assess risk and profitability with confidence.
- NPV vs IRR Analysis: Understand why Net Present Value (NPV) is superior to IRR for evaluating project viability.
- Dynamic Business Models: Build flexible models using XIRR and MIRR to capture multiple scenarios and cash flow variations.
- Assumption Development: Learn to justify and validate assumptions before constructing financial models for investment decisions.
- Cost of Capital Calculations: Apply WACC and CAPM formulas to determine the appropriate discount rate for feasibility studies.
- Free Cash Flow Analysis: Calculate FCFF (Free Cash Flow to Firm) and FCFE (Free Cash Flow to Equity) to measure profitability.
- Real-Life Case Studies: Explore sector-specific examples to assess financial viability of projects before committing to investments.
- Confidently evaluate project feasibility using advanced financial metrics.
- Apply NPV, WACC, and free cash flow analysis to real-world investment banking scenarios.
- Build dynamic models that adapt to multiple assumptions and market conditions.
- Discounted Cash Flow (DCF) is the gold standard of valuation in investment banking.
- This module equips learners with the technical depth and practical application needed to evaluate companies, projects, and deals with precision.
- Designed by Big 4 valuation experts, the content mirrors real-world practices used in M&A, IPOs, and private equity.
- Directly applied in deal structuring, equity research, and corporate finance advisory, ensuring learners can deliver credible valuation insights.
- DCF Fundamentals: Understand the concept and importance of DCF valuation in investment decision-making.
- Cash Flow Forecasting: Build detailed projections and distinguish between Free Cash Flows vs Normal Cash Flows.
- Projection Periods: Decide the high-growth horizon and transition to stable growth phases.
- FCFF vs FCFE: Differentiate between Free Cash Flow to Firm and Free Cash Flow to Equity for valuation accuracy.
- Non-Cash Adjustments: Treat depreciation, amortization, and other non-cash items correctly in free cash flow calculations.
- Cost of Capital: Calculate WACC and CAPM, determine current cost of debt, and factor in sovereign default spreads.
- Equity Risk Premium & Beta: Estimate ERP, analyze levered vs unlevered beta, and compute beta for private companies.
- Capital Structure Impact: Assess how target capital structure influences Cost of Equity (Ke) and overall valuation.
- Terminal Value Estimation: Apply perpetuity growth and exit multiple methods to derive terminal value.
- Sensitivity & Scenario Analysis: Stress-test assumptions to measure valuation robustness under different conditions.
- Comparative Valuation: Benchmark DCF against other valuation methods for cross-validation.
- Practical Application: Apply DCF to real-world companies and integrate results into investment banking decisions.
- Master the DCF framework used in top-tier investment banks.
- Confidently forecast cash flows, calculate WACC, and estimate terminal values.
- Deliver valuation insights that drive M&A, IPO, and private equity decisions.
- Trading comparables (comps) are one of the most widely used valuation techniques in investment banking.
- This module teaches how to benchmark companies against peers and derive actionable insights.
- Crafted by Big 4 valuation experts, the content reflects the exact process used in equity research, M&A, and IPO pricing.
- Directly applied in deal advisory, equity valuation, and corporate finance, ensuring learners can deliver credible comps analysis.
- Peer Company Selection: Identify and select appropriate peer groups for accurate benchmarking.
- Data Gathering & Normalization: Collect financial metrics from statements and normalize data for comparability.
- Valuation Multiples Mastery: Understand and calculate EV/EBITDA, P/E, EV/Sales, and other industry-specific multiples.
- Comps Table Construction: Build a comprehensive comps table in Excel to organize and analyze valuation data.
- Insightful Analysis: Interpret multiples to derive meaningful valuation insights and compare subject company performance.
- Industry-Specific Adjustments: Learn how fundamentals impact multiples and select the right multiple for each industry.
- Real-World Application: Apply trading comps analysis to live companies and transactions for practical investment banking exposure.
- Confidently perform trading comps analysis with industry-standard accuracy.
- Benchmark companies against peers using valuation multiples.
- Present comps-driven insights that strengthen investment banking pitchbooks and advisory reports.
- Transaction comparables (deal comps) are critical for understanding how markets value companies in real-world deals.
- This module equips learners with the tools to benchmark transactions and derive actionable valuation insights.
- Executed by Big 4 banking experts, the content mirrors the methodology used in M&A, IPO pricing, and private equity deal analysis.
- Directly applied in deal advisory, fairness opinions, and strategic valuation reports, ensuring learners can deliver credible transaction comps analysis.
- Strategic Importance of Transaction Comps: Learn why deal comparables are essential in investment banking valuations.
- Comparable Transaction Selection: Identify and select appropriate precedent transactions for accurate benchmarking.
- Data Collection & Validation: Gather and validate transaction data from financial statements and deal disclosures.
- Data Adjustments for Consistency: Normalize financials to ensure comparability across transactions.
- Valuation Multiples Calculation: Compute key multiples such as EV/EBITDA, EV/Sales, and P/E from transaction data.
- Comps Table Construction: Build a comprehensive transaction comps table in Excel for structured analysis.
- Actionable Insights: Interpret multiples to derive meaningful valuation conclusions for target companies.
- Market & Deal Factors: Assess how market conditions and deal-specific fundamentals influence valuation outcomes.
- Real-World Case Studies: Apply transaction comps analysis to live deals across industries for practical exposure.
- Confidently perform transaction comps analysis with industry-standard accuracy.
- Benchmark deals using valuation multiples and market-adjusted insights.
- Present deal-driven valuation findings that strengthen investment banking pitchbooks and advisory mandates.
- Football Field Analysis is a powerful valuation tool used by analysts to present a company’s value range in a clear, visual format.
- This module equips learners with the ability to design, interpret, and apply football field charts in M&A, IPOs, and corporate finance advisory.
- Concept & Purpose: Grasp the importance of Football Field Analysis in determining valuation ranges.
- Pitch Deck Presentation: Learn how analysts showcase football field charts in investment banking pitchbooks.
- Valuation Range Assessment: Understand how football field analysis helps define the overall valuation range of a target company.
- Chart Preparation: Build floating bar and column charts in Excel to visually represent valuation outcomes.
- Deal Price Negotiation: Explore how football field analysis supports buyers and sellers in M&A transactions when deciding deal prices.
- Confidently prepare and present football field charts in professional pitch decks.
- Use valuation ranges to support negotiations and deal-making in investment banking.
- Apply football field analysis to real-world companies and transactions for practical impact.
- Mergers and Acquisitions (M&A) are at the heart of investment banking, driving corporate growth, restructuring, and strategic expansion.
- This module provides a complete framework to understand deal structures, valuation techniques, and real-world case applications, preparing learners to analyze and execute transactions with confidence.
- Introduction to M&A: Explore the fundamentals of mergers and acquisitions and their role in corporate strategy.
- Types of Mergers: Understand horizontal, vertical, and conglomerate mergers with practical examples.
- M&A Process Overview: Break down the pre-transaction, transaction, and post-transaction phases for clarity.
- Deal Structures: Learn how M&A deals are structured across different industries and transaction types.
- Due Diligence: Master the financial, legal, and operational due diligence process to assess risks and opportunities.
- Valuation Techniques: Apply Comparable Company Analysis (CCA), Precedent Transaction Analysis (PTA), and DCF valuation to M&A deals.
- M&A Modeling in Excel: Build transaction models to evaluate synergies, financing, and deal outcomes.
- Synergies Analysis: Identify and quantify cost and revenue synergies to measure deal value creation.
- Deal Financing: Assess financing options including debt, equity, and cash structures.
- Regulatory & Legal Considerations: Understand compliance requirements and legal frameworks impacting M&A transactions.
- Case Studies & Applications: Analyze real-world financial scenarios and devise strategic solutions through case-based learning.
- Gain a comprehensive understanding of M&A processes and deal structures.
- Apply valuation and modeling techniques to real-world transactions.
- Confidently analyze synergies, financing options, and regulatory considerations in investment banking deals.
- Leveraged Buyouts (LBOs) are a cornerstone of private equity and investment banking, combining valuation, financing, and strategic execution.
- This module equips learners with the ability to design and analyze LBO models, evaluate assumptions, and interpret deal outcomes with precision.
- LBO Model (Valuation): Build a structured LBO valuation framework to assess deal feasibility and investor returns.
- Transaction Assumptions: Define purchase price, financing mix, and ownership structure for accurate modeling.
- Debt Assumptions: Incorporate leverage levels, repayment schedules, and interest costs into the model.
- Goodwill Calculation: Understand how purchase price allocation impacts goodwill and intangible assets.
- Closing Balance Sheet: Prepare a post-transaction balance sheet reflecting new capital structure.
- Income Statement Integration: Project revenues, costs, and interest expenses to measure profitability under leverage.
- Balance Sheet & Cash Flow Statement (CFS): Link financial statements to capture working capital changes, debt service, and cash generation.
- Key Metrics: Analyze IRR, MOIC, debt-to-equity ratios, and exit multiples to evaluate deal success.
- Construct investment banking-standard LBO models with integrated financial statements.
- Evaluate transaction and debt assumptions to measure risk and return.
- Present key metrics and insights that drive private equity and leveraged finance decisions.
- Pitch books are the cornerstone of investment banking communication, serving as the primary tool to present deals, valuations, and strategic opportunities.
- This module equips learners with the ability to design persuasive, data-driven presentations that capture investor interest and secure financing.
- Purpose & Components: Understand the essential elements of a pitch book and why it is critical in deal-making.
- Narrative Development: Craft compelling storylines that clearly communicate the value proposition of transactions.
- Professional Design & Layout: Create visually impactful presentations with structured design techniques used by top banks.
- Financial & Market Integration: Incorporate financial analysis, market research, and industry insights to strengthen the investment thesis.
- Audience Tailoring: Adapt pitch books for clients, investors, and stakeholders, ensuring relevance and impact.
- Storytelling & Visualization: Use storytelling techniques and data visualization to simplify complex information persuasively.
- Strategic Application: Employ pitch books as a strategic tool to attract investors and secure financing in real-world deals.
- Confidently design investment banking-standard pitch books with clarity and impact.
- Integrate financial data, market insights, and storytelling into persuasive presentations.
- Use pitch books as a strategic lever to win clients, attract investors, and close deals.
- Power BI and Python are transforming the way financial analysts and investment bankers handle data, visualize insights, and automate workflows.
- This module equips learners with the ability to integrate analytics, visualization, and automation into financial modeling and valuation processes.
- Data Import & Transformation: Learn the basics of importing and cleaning financial data using Power BI and Python.
- Visualizations: Create interactive dashboards and charts to present investment banking insights clearly.
- Data Modeling & Relationships: Build structured models and relationships for accurate financial analysis.
- Advanced Analytics & Machine Learning: Apply predictive analytics and simple ML techniques to forecast financial outcomes.
- Integration & Automation: Connect Power BI with other tools and use Python scripts for automation in reporting and valuation.
- Confidently use Power BI and Python to analyze and visualize financial data.
- Apply advanced analytics and machine learning to investment banking scenarios.
- Automate workflows to deliver faster, more accurate insights in deal-making and advisory.
- Futures and Options (F&O) are integral to modern equity markets, enabling traders and investment bankers to hedge risks, speculate on price movements, and design complex arbitrage strategies.
- This module provides a structured approach to mastering derivatives and applying them in real-world financial scenarios.
- F&O Fundamentals: Gain a deep understanding of the futures and options segment in equity markets.
- Trading Strategies: Learn professional techniques including hedging, speculation, and arbitrage used by traders and bankers.
- Risk Management: Explore methods to manage and mitigate risks associated with derivatives trading.
- Case Studies & Practical Exercises: Apply theoretical knowledge to real-world scenarios for hands-on learning.
- Market Trend Analysis: Enhance your ability to analyze data and market trends for informed decision-making in F&O.
- Confidently trade and analyze futures and options in equity markets.
- Apply hedging, speculation, and arbitrage strategies to real-world investment banking contexts.
- Strengthen decision-making with data-driven insights and risk management techniques.
Who is this course for?
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Anyone who wants to learn SAP MM module
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Other ERP professionals who want to learn SAP MM and become functional experts.
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IT professionals, software engineers, project managers, and business analysts who want to upgrade their skills to the SAP ecosystem.
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SAP Supply Chain professionals, software engineers, project managers, and business analysts.
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Students from arts, commerce and UPSC background can enroll in the SAP Course with ease in Corporate IT Job.
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Aspiring data professionals looking to master the industry's leading transportation management tool.
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Students desiring a comprehensive, engaging, and highly interactive approach to SAP MM training.
Training Delivery
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Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
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Tech call with Certified Instructor
A call with the instructor to address specific queries and requirements.
📋
Customized Curriculum
Tailored curriculum to meet specific learning objectives and needs.
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Training & LMS Access
Start training sessions with access to the Learning Management System.
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Live Training
Interactive live sessions to enhance learning experience.
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Hands-on Labs
Role-based training with practical exercises and labs.
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Course Materials
Access course materials anytime through LMS.
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Progress Metrics
Track student progress with analytics and reports.
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Gamified Quiz
Engaging final quiz to reinforce learning.
🎓 Certificate of Completion
Get a verifiable certificate after successfully completing the training.
Student Video Testimonials
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Choose Your Plan
Start your journey with flexible pricing options
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Financial Modeling
Live Online
₹44,250
₹29,500
+ ₹30,000 after placement
✔ Live interactive classes
✔ Doubt solving sessions
✔ Placement support
50% Discount
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Financial Modeling
Recorded (12 Months Access)
₹22,499
₹14,999
✔ Recorded lectures
✔ Mock tests & question bank
✔ Doubt support
Frequently Asked Questions
Applicants must hold a Bachelor’s degree (or be in the final year) in business, finance, management, economics, accounting, IT, engineering, or a related field. An updated resume, valid photo ID, and required academic documents are needed. Prior financial modelling experience is preferred but not mandatory.
The PG Diploma in Financial Modelling of Business Administration, offered in collaboration with Birchwood University, is delivered entirely online. Students are not required to visit the university campus at any stage of the program. However, learners must successfully complete all required coursework and assessments.
The PG Diploma program, in collaboration with Birchwood University is designed to be completed within a 6-month duration. The program follows a flexible learning structure, allowing students and working professionals to balance their studies alongside personal and professional commitments.
Graduates of the PG Diploma in Financial Modelling can pursue a wide range of career opportunities across corporate finance, investment banking, equity research, consulting, financial analysis, and valuation roles. The program equips learners with practical, industry focused skills in financial statement analysis, forecasting, budgeting, valuation modelling, and decision support.
Career paths may include roles such as Financial Analyst, Valuation Analyst, Investment Analyst, Equity Research Analyst, Corporate Finance Executive, FP&A Analyst, and Consulting Associate. The diploma is also highly beneficial for working professionals seeking career growth, role transitions into finance domains, or enhanced analytical and decision making responsibilities within their organizations.
Yes. The PG Diploma in Business Administration (Financial Modelling & Valuation) program, offered in collaboration with Birchwood University, provides practical, industry-aligned training that equips learners with real-world financial modelling, valuation, and analytical skills. The program emphasizes hands-on learning, expert guidance, and relevant case studies to help build job-ready competence in finance, corporate strategy, consulting, and decision-making roles.
With flexible online delivery, a recognized academic framework, and a certificate that enhances professional credibility, this program supports career advancement, upskilling, and role transitions for both fresh graduates and working professionals. For individuals looking to strengthen their financial expertise and business administration capabilities, this PG Diploma is a valuable investment in career growth.
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