Months 1–9
Investment Banking Foundations
Build expertise across financial markets, Excel, financial modelling, valuation, M&A, LBOs, due diligence and regulatory frameworks.
Explore phase 1Master in Investment Banking.
#First in INDIA
Go Beyond Financial Modelling. Learn How Deals Are Actually Analysed, Structured & Executed.
Build advanced expertise across Financial Modelling, M&A, Private Equity, ECM, DCM, Transaction Advisory, Financial Analytics, Python and AI-assisted Investment Banking workflows through an intensive 15-month program designed around practical deal execution.
15 Months Program15 Industry-Focused ModulesAdvanced Deal ExecutionFinancial Analytics + AI
Program fee: ₹4,10,000
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Inside the Master in Investment Banking Program
Start with the core foundations of investment banking and progressively move into advanced transaction modelling, private equity, financial due diligence, capital markets, financial analytics and end-to-end deal execution.
Months 10–15
Advanced Specialisation
Progress into advanced LBO modelling, merger modelling, quality of earnings, ECM/DCM, transaction advisory, SQL, Power BI, Python, AI and simulated deal execution.
Explore phase 2Why Choose Us
The Meritshot Advantage
The additional six months are designed to take learners beyond foundational modelling and into the type of analytical, transaction and technology-driven work increasingly expected across investment banking, private equity and transaction advisory roles.
Foundation to Advanced Execution
Progress from understanding financial statements and valuation to building, auditing and defending sophisticated transaction models.
Advanced Transaction Exposure
Work across M&A, LBOs, private equity, financial due diligence, ECM, DCM and transaction advisory.
Financial Analytics for Modern Finance
Combine Excel with SQL, Power BI and Python to analyse larger financial and transaction datasets.
AI-Assisted Investment Banking
Learn where AI can improve research, analysis and workflow efficiency—and where human validation remains critical.
Portfolio-Driven Learning
Graduate with financial models, diligence reports, dashboards, pitchbooks and transaction materials that demonstrate practical capability.
Interview & Modelling Test Preparation
Prepare for financial modelling tests, technical interviews, investment cases and transaction discussions.
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Core Competencies
What You Will Learn
A comprehensive curriculum built around the analytical, transaction and technology skills used across modern investment banking and corporate finance teams.
Advanced Financial Modelling
Three-statement models, scenarios, sensitivities, model audits and integrated transaction models.
Business Valuation
DCF, trading comparables, precedent transactions, IPO valuation and valuation football fields.
M&A & Merger Modelling
Deal structuring, acquisition financing, purchase price allocation, synergies and accretion/dilution.
LBO & Private Equity
Advanced LBO structures, debt waterfalls, cash sweeps, IRR, MOIC and investment committee analysis.
Financial Due Diligence & Advisory
Quality of earnings, adjusted EBITDA, working capital, net debt, transaction risks and deal recommendations.
Equity & Debt Capital Markets
IPO readiness, pricing, equity offerings, debt capacity, credit metrics, refinancing and covenant analysis.
Financial Data Analytics
Integrated SQL, Excel, Power Query and Power BI workflows for financial and transaction analysis.
Python & AI for Finance
Financial analysis, automation, model validation and source-verified AI-assisted research and pitchbook support.
Deal Execution
Bring valuation, modelling, diligence, financing, documentation and presentation skills together in simulated live transactions.
Projects
Real-World Projects
Instead of completing isolated academic assignments, learners progressively build an investment banking portfolio across modelling, transaction analysis and financial analytics.
01
Project 01
Integrated Three-Statement Financial Model
Build an interconnected income statement, balance sheet and cash flow model with forecasting, scenarios and financial checks.
ExcelFinancial ModellingForecasting
02
Project 02
Complete Company Valuation
Value a company through DCF, trading comparables, precedent transactions and valuation sensitivities.
DCFWACCTrading CompsPrecedent Transactions
03
Project 03
M&A Merger Model
Analyse an acquisition using purchase price, financing assumptions, synergies and accretion/dilution.
M&AMerger ModellingDeal Analysis
04
Project 04
Advanced LBO & Private Equity Investment Case
Build a multi-tranche LBO and evaluate sponsor returns across base, upside and downside scenarios.
LBOIRRMOICPrivate Equity
05
Project 05
IPO & Equity Capital Markets Analysis
Develop an IPO pricing recommendation incorporating valuation, dilution and investor considerations.
IPOECMEquity Valuation
06
Project 06
Debt Financing Proposal
Evaluate debt capacity, financing alternatives, credit metrics, spreads, maturities and covenants.
DCMCredit AnalysisCapital Structure
07
Project 07
Integrated Financial Analytics Project
Use SQL to retrieve financial information, Excel to analyse and value companies, and Power BI to communicate results.
SQLExcelPower BI
08
Project 08
Python Financial Analysis Tool
Create a Python-based application that analyses company financials and calculates key ratios and valuation multiples.
PythonpandasFinancial Analytics
09
Project 09
Investment Banking Deal Execution Capstone
Complete a simulated transaction from company analysis and valuation through modelling, financing, documentation and investment committee presentation.
M&AValuationFinancial ModellingPitchbooksDeal Execution
Want guided practice with deal work like this?
Discuss the programYour learning journey
Program Curriculum.
15 Months. 15 Modules.
The program progresses from core financial foundations to advanced transaction execution without unnecessarily repeating concepts.
PDF · Detailed module breakdown
Months 1–9
Investment Banking Foundations
Build expertise across financial markets, Excel, financial modelling, valuation, M&A, LBOs, due diligence and regulatory frameworks.
Understand how global financial institutions, capital markets and investment banks interact and how macroeconomic events affect transactions.
What you'll learn
- Global financial systems and the role of investment banks
- Central banks, commercial banks and institutional investors
- Buy-side versus sell-side business models
- Foreign exchange and cross-border transaction risk
- Market, credit, liquidity and operational risk
- Financial crises and capital-market impact
- Introduction to financial statements and corporate finance
Hands-on project
Multi-Bank Financial Health Scorecard & Global Markets Case Study
What you'll be able to do
- Understand global financial-market structures
- Identify major financial institutions and market participants
- Analyse basic financial and banking risks
- Connect market conditions with investment banking activity
Turn Excel into a professional financial modelling environment and learn how analysts build structured, auditable financial models.
What you'll learn
- Excel shortcuts and investment banking formatting standards
- Advanced formulas and lookups
- Three-statement financial modelling
- Revenue and expense forecasting
- Working-capital modelling
- Scenario and sensitivity analysis
- VBA and macro fundamentals
- Error checks and model auditability
Hands-on project
Integrated Three-Statement Model & Automated Financial Analysis Workbook
What you'll be able to do
- Build structured financial models
- Forecast financial performance
- Create scenario and sensitivity analyses
- Audit models for consistency and errors
Develop the ability to determine what a company is worth using the valuation frameworks applied across M&A, ECM and private equity.
What you'll learn
- Intrinsic versus relative valuation
- DCF and FCFF
- WACC
- Terminal value
- Comparable-company analysis
- Precedent transaction analysis
- Enterprise value versus equity value
- Synergies and control premiums
- IPO valuation
- Valuation football fields
Hands-on project
Complete Company Valuation — DCF, Trading Comps & Precedent Transactions
What you'll be able to do
- Build a complete DCF model
- Select and analyse comparable companies
- Analyse transaction multiples
- Present valuation ranges professionally
Understand how equity markets, IPOs and derivative instruments function in real-world financial markets. Learn how options, futures and hedging strategies are used to manage risk and support investment decisions.
What you'll learn
- Primary and secondary equity markets
- IPO process and stock-market mechanics
- Forwards, futures, options and swaps
- Derivative pricing fundamentals
- Black-Scholes model
- Option Greeks
- Hedging strategies
- Market making and arbitrage
- Monte Carlo simulation
- Financial risk analysis
What you'll be able to do
- Understand how equity and derivative markets operate
- Analyse basic derivative instruments and their use cases
- Evaluate option pricing and market-risk exposure
- Apply hedging concepts to financial scenarios
- Interpret market movements and their effect on valuation
- Build basic financial risk and scenario analyses
Explore how mergers, acquisitions and leveraged buyouts are structured from both strategic and financial perspectives. Learn the fundamentals of deal financing, merger modelling and transaction analysis.
What you'll learn
- M&A lifecycle and deal origination
- Buy-side and sell-side transaction processes
- Strategic rationale behind acquisitions
- LBO fundamentals
- Acquisition financing
- Debt structures
- Merger modelling fundamentals
- EPS accretion and dilution
- Cash, stock and mixed-consideration deals
- Earnouts and escrows
- Term sheets
- Cross-border M&A
- Hostile takeover fundamentals
What you'll be able to do
- Understand an end-to-end M&A transaction process
- Analyse the strategic rationale behind an acquisition
- Build a foundational merger model
- Evaluate EPS accretion and dilution
- Understand how leveraged buyouts are financed
- Analyse transaction structures and consideration methods
- Compare different acquisition-financing alternatives
Understand how startups are valued, funded and evaluated by venture capital investors. Learn how term sheets, dilution, funding structures and due diligence influence investment decisions.
What you'll learn
- Startup business models
- Startup valuation methods
- Pre-money and post-money valuation
- Seed, Series A and later-stage funding rounds
- Term sheets
- Convertible notes
- SAFE instruments
- Liquidation preferences
- Founder and investor dilution
- Venture capital returns
- Exit strategies
- Financial, legal and commercial due diligence
What you'll be able to do
- Analyse startup business models from an investor perspective
- Calculate pre-money and post-money valuation
- Understand dilution across funding rounds
- Interpret key venture-capital term-sheet clauses
- Analyse investor return scenarios
- Compare startup financing instruments
- Identify major financial and commercial risks before investment
Learn how investment banking teams identify financial, legal, commercial and operational risks before a transaction. Understand the role of compliance, KYC, AML and professional ethics in deal execution.
What you'll learn
- Financial due diligence
- Legal due diligence
- Commercial due diligence
- Operational due diligence
- Virtual data rooms
- Transaction documentation
- Financial and operational red flags
- Representations and warranties
- Indemnities
- KYC
- AML
- Transaction monitoring
- Conflicts of interest
- Confidentiality
- Professional ethics
What you'll be able to do
- Review a company from a transaction-risk perspective
- Identify key financial and operational red flags
- Understand how a transaction data room is structured
- Analyse due-diligence findings
- Prepare a structured red-flag report
- Understand basic KYC and AML requirements
- Recognise compliance and ethical risks in financial transactions
Understand the key regulatory frameworks that influence banking, capital markets and cross-border transactions. Learn how regulations, restructuring and compliance considerations affect investment banking decisions.
What you'll learn
- Basel framework
- Bank capital adequacy
- SEBI regulations
- Companies Act requirements
- FEMA regulations
- Insider-trading regulations
- SEC fundamentals
- FCA fundamentals
- Recapitalisation
- Debt restructuring
- Cross-border transaction risks
- Regulatory compliance
- Transaction ethics
What you'll be able to do
- Understand major regulations affecting financial transactions
- Analyse basic regulatory considerations in domestic deals
- Identify regulatory risks in cross-border transactions
- Understand bank capital and Basel requirements
- Evaluate basic restructuring and recapitalisation situations
- Prepare a transaction-focused regulatory risk analysis
Apply your financial modelling, valuation and transaction knowledge through integrated investment banking projects. Build presentation, interview and modelling-test skills required for finance roles.
What you'll learn
- Integration of DCF, M&A and LBO concepts
- Financial-model documentation
- Financial-model presentation
- Pitchbook preparation
- Transaction analysis
- Portfolio and risk-analysis fundamentals
- Investment banking case studies
- Resume development
- Technical interview preparation
- Financial modelling test preparation
What you'll be able to do
- Combine multiple valuation and modelling techniques
- Present financial analysis in a professional format
- Build a structured investment banking pitchbook
- Explain the assumptions behind your financial models
- Analyse transaction case studies
- Present an investment recommendation
- Prepare for technical Investment Banking interviews
- Approach financial-modelling tests with greater confidence
Months 10–15
Advanced Specialisation
Progress into advanced LBO modelling, merger modelling, quality of earnings, ECM/DCM, transaction advisory, SQL, Power BI, Python, AI and simulated deal execution.
Build advanced leveraged buyout models and analyse investments from a private equity perspective. Learn how debt structure, cash flow, exit assumptions and operational improvements drive investor returns.
What you'll learn
- Complex LBO modelling
- Integrated operating projections
- Sources and uses
- Multiple debt tranches
- Debt repayment waterfalls
- Mandatory and optional debt repayment
- Cash sweeps
- Management rollover
- Equity incentive structures
- Entry and exit valuation multiples
- IRR
- MOIC
- Returns attribution
- Operational value creation
- Downside scenarios
- Covenant analysis
- Private equity investment committee memoranda
What you'll be able to do
- Build an advanced LBO model from scratch
- Structure different debt tranches within a transaction
- Model cash sweeps and debt repayment
- Calculate sponsor IRR and MOIC
- Analyse value creation from leverage, growth and margin improvement
- Test downside and sensitivity scenarios
- Evaluate whether a PE investment meets return expectations
- Prepare and defend a private equity investment recommendation
Take merger modelling beyond the basics by analysing complex deal structures, financing and synergies. Learn how acquisitions affect ownership, EPS, goodwill, leverage and shareholder value.
What you'll learn
- Advanced merger modelling
- Cash acquisitions
- Stock acquisitions
- Mixed-consideration transactions
- Purchase price calculation
- Purchase price allocation
- Goodwill
- Financing fees
- Transaction expenses
- Pro forma adjustments
- Revenue synergies
- Cost synergies
- EPS accretion and dilution
- Ownership analysis
- Exchange ratios
- Acquisition financing
- Debt impact
- Model audit checks
- Downside scenarios
What you'll be able to do
- Build a complete advanced merger model
- Compare cash, stock and mixed-consideration structures
- Calculate purchase price and goodwill
- Model acquisition financing
- Analyse the impact of synergies
- Calculate EPS accretion and dilution
- Assess post-deal ownership structures
- Run downside and sensitivity analyses
- Audit a transaction model for errors and inconsistencies
- Present a recommendation on transaction structure
Learn how transaction advisory teams evaluate the quality and sustainability of a company’s financial performance. Analyse EBITDA adjustments, net debt, working capital and financial risks that can impact deal value.
What you'll learn
- Quality of Earnings
- Normalised EBITDA
- EBITDA adjustments
- One-time and non-recurring items
- Revenue quality
- Customer concentration
- Net debt
- Debt-like items
- Normalised working capital
- Cash conversion
- Earnings sustainability
- Accounting red flags
- Purchase-price adjustments
- Closing accounts
- Transaction recommendations
What you'll be able to do
- Perform a basic Quality of Earnings analysis
- Convert reported EBITDA into normalised EBITDA
- Identify one-off or non-recurring items
- Analyse revenue quality and customer concentration
- Calculate net debt and debt-like adjustments
- Analyse normalised working capital
- Identify financial risks that may affect transaction value
- Prepare an adjusted EBITDA bridge
- Prepare a transaction-risk memo
- Translate diligence findings into deal recommendations
Understand how companies raise capital through equity and debt markets and how investment bankers structure these transactions. Learn to analyse IPOs, debt financing and create professional deal documentation and pitchbooks.
What you'll learn
- Equity Capital Markets
- IPO readiness
- Equity story development
- IPO valuation
- Book-building
- Price discovery
- Primary issuance
- Offer-for-sale
- Follow-on public offerings
- QIPs
- Rights issues
- Underwriting
- Dilution analysis
- Debt Capital Markets
- Corporate bonds
- Syndicated loans
- Debt capacity
- Credit metrics
- Bond pricing
- Yield
- Credit spreads
- Refinancing
- Maturity profiles
- Debt covenants
- Capital-structure alternatives
- Deal Documentation
- Sell-side pitchbooks
- Buy-side pitchbooks
- Company profiles
- Buyer screening
- Confidential Information Memoranda
- Valuation football fields
- Transaction presentation materials
What you'll be able to do
- Analyse whether a company is ready for an IPO
- Support an IPO valuation and pricing recommendation
- Understand book-building and price discovery
- Analyse shareholder dilution
- Evaluate debt capacity and leverage
- Interpret credit metrics and spreads
- Compare bond, loan and refinancing alternatives
- Analyse debt maturities and covenants
- Build an investment banking pitchbook
- Prepare company profiles and buyer screens
- Structure basic CIM and transaction materials
Learn how modern finance professionals combine SQL, Excel and Power BI to analyse large financial datasets. Build integrated workflows for company analysis, peer benchmarking, valuation and financial reporting.
What you'll learn
- SQL for Financial Data
- SELECT
- WHERE
- GROUP BY
- ORDER BY
- JOINs
- Subqueries
- CTEs
- Window functions
- Querying company financials
- Querying peer-company data
- Querying transaction datasets
- Financial-ratio calculations
- Excel & Power Query
- Importing SQL data into Excel
- Data cleaning
- Data transformation
- Data merging
- Data refresh
- PivotTables
- Advanced formulas
- Financial KPI calculations
- Comparable-company analysis
- Valuation multiples
- Model validation
- Power BI & DAX
- Connecting Power BI with SQL and Excel
- Data relationships
- Star schemas
- Data modelling
- Power Query transformations
- DAX measures
- Financial KPIs
- Peer benchmarking
- Revenue dashboards
- EBITDA dashboards
- Cash-flow dashboards
- Valuation dashboards
What you'll be able to do
- Retrieve financial data using SQL
- Combine information across multiple financial datasets
- Calculate financial KPIs directly from queried data
- Clean and transform datasets using Power Query
- Build comparable-company datasets
- Automate recurring financial-analysis workflows
- Create Power BI financial dashboards
- Build DAX-based financial measures
- Compare financial performance across peer companies
- Turn raw data into an investment-analysis presentation
- Connect SQL, Excel and Power BI into one workflow
Combine Python, AI, financial analytics and investment banking skills in an integrated deal environment. Learn how technology can support research, analysis, automation, modelling and professional transaction execution.
What you'll learn
- Python for Financial Analysis
- Python fundamentals
- Data structures
- Functions
- NumPy
- pandas
- Importing financial data
- Data cleaning
- Financial ratio calculations
- Growth analysis
- Valuation multiples
- Comparable-company automation
- Financial visualisation
- Excel workflow automation
- Data validation
- AI Applications in Investment Banking
- Generative AI fundamentals
- AI-assisted company research
- Industry research
- Annual-report analysis
- Financial information extraction
- AI-assisted financial statement analysis
- Company profile drafting
- Investment thesis drafting
- Research summaries
- Pitchbook support
- AI-assisted Excel formulas
- AI-assisted Python scripts
- Workflow automation
- Source verification
- Hallucination detection
- Client-data confidentiality
- Responsible AI use
- Integrated Deal Execution
- SQL, Excel, Python and Power BI integration
- Financial model validation
- Comparable-company automation
- Transaction analysis
- AI-assisted research
- Investment banking presentations
- Valuation and transaction modelling
- Acquisition-financing analysis
- Synergy analysis
- Downside scenarios
- Pitchbooks and CIMs
- Investment committee presentations
- Technical interviews
- Timed modelling tests
What you'll be able to do
- Analyse financial statements using Python
- Automate financial ratios and valuation calculations
- Use pandas to clean and analyse financial datasets
- Automate parts of comparable-company analysis
- Use AI to accelerate company and industry research
- Extract relevant information from financial reports using AI-assisted workflows
- Verify AI-generated outputs against trusted financial sources
- Identify possible hallucinations or unsupported information
- Maintain appropriate confidentiality while using AI tools
- Connect SQL, Excel, Python and Power BI in one finance workflow
- Use technology to support valuation and transaction analysis
- Build a complete transaction analysis from raw data to presentation
- Prepare a professional pitchbook or CIM
- Present transaction findings to a simulated investment committee
- Defend valuation assumptions and financial risks
- Complete a timed financial modelling test
- Respond to technical Investment Banking interview questions
Final Program Deliverables
Your Skills, Brought Together
By completing the full 15-month journey: Financial Statements → Financial Modelling → Valuation → M&A → LBO → Due Diligence → ECM/DCM → Financial Analytics → Python & AI → Deal Execution.
Python-Based Financial Analysis Tool
Final program deliverable
AI-Assisted, Source-Verified Company Research Report
Final program deliverable
Integrated SQL, Excel & Power BI Financial Analytics Project
Final program deliverable
Advanced LBO & Private Equity Investment Case
Final program deliverable
ECM / IPO Pricing Analysis
Final program deliverable
DCM / Debt Financing Proposal
Final program deliverable
Complete Simulated M&A Transaction Package
Final program deliverable
Professional Investment Banking Pitchbook / CIM
Final program deliverable
Investment Committee Presentation & Technical Interview Assessment
Final program deliverable
How You’ll Learn
Built for Applied Learning
Build models, analyse transactions and present your work throughout the program.
Live Instructor-Led Classes
Learn complex financial concepts directly with experienced finance professionals.
Hands-On Financial Modelling
Build models instead of simply watching someone else build them.
Transaction Case Studies
Apply concepts to practical M&A, PE, ECM, DCM and diligence scenarios.
1:1 Mentorship
Receive guidance on modelling, projects, interviews and career preparation.
Assessments & Modelling Tests
Validate your ability to work under realistic investment banking conditions.
Investment Committee Simulations
Present and defend financial recommendations instead of merely submitting assignments.
Real-World Cases
Case Studies You'll Work On
Analyse transactions, not just textbook examples. Apply modelling, valuation and financial analytics to the supplied transaction scenarios.
M&AAdvanced M&A Case Study
Evaluate strategic rationale, valuation, acquisition financing, synergies and EPS impact in a major corporate acquisition.
Skills Applied
M&AMerger ModellingSynergiesAccretion/Dilution
LBOPrivate Equity Buyout Case Study
Evaluate an acquisition from a sponsor's perspective and analyse leverage, exit valuation and investment returns.
Skills Applied
LBOIRRMOICDebt Structuring
ECMIPO & ECM Case Study
Analyse company readiness, valuation, pricing, dilution and investor positioning for a public-market transaction.
Skills Applied
ECMIPOValuationEquity Story
DCMDebt Financing Case Study
Evaluate alternative financing structures and assess leverage, credit metrics, spreads and covenant implications.
Skills Applied
DCMCredit AnalysisCapital Structure
QoETransaction Due Diligence Case Study
Analyse earnings quality, working capital, net debt and financial risks before an acquisition.
Skills Applied
QoEFDDTransaction Advisory
Financial AnalyticsFinancial Analytics Case Study
Convert raw company and transaction data into actionable financial insights using SQL, Excel, Python and Power BI.
Skills Applied
Financial AnalyticsSQLPythonPower BI
Our Instructors
Learn from Industry Experts
Our instructors bring real-world investment banking experience from top global firms.
Abhishek Garg
Manager
PwC5+ Years
Manager at PwC with 5+ years in financial advisory, M&A due diligence, and transaction services. Expert in financial modeling, valuation, and supporting deal teams across multiple sectors.
Himanshu
Professor, Business Finance
LPU8+ Years
Professor of Business Finance at LPU with 8+ years of academic and industry experience. Specializes in corporate finance, capital markets, and investment analysis — bridging theory with practical application.
Hunny Arya
Manager
EY7+ Years
Manager at EY with 7+ years in financial services advisory and transaction structuring. Expert in equity research, DCF modeling, and investment banking workflows across BFSI and technology sectors.
Jinay Jain
CA
QuintEdge5+ Years
Chartered Accountant at QuintEdge with 5+ years in investment analysis, financial modeling, and equity research. Helps students master the analytical rigor required for top-tier IB roles.
Rahul Jain
M&A Advisor
Transacta Capital7+ Years
M&A Advisor at Transacta Capital with 7+ years in deal origination, transaction structuring, and financial due diligence. Expert in cross-border M&A, LBO modeling, and buy-side advisory.
Ravi Das
Professor, Business Finance
Amity University10+ Years
Professor of Business Finance at Amity University with 10+ years shaping the next generation of finance professionals. Specializes in investment banking, corporate valuation, and capital markets education.
Anupam Dixit
Senior Finance Mentor
Independent12+ Years
Senior finance professional with 12+ years in investment banking and corporate advisory. Has led M&A transactions worth over $500M and trained 200+ aspiring investment bankers. Specializes in valuation, deal structuring, and financial modeling at the highest level.
Dhruv Bajaj
Deputy Manager
Deloitte8+ Years
Deputy Manager at Deloitte with 8+ years in transaction advisory services. Expert in due diligence, LBO modeling, and M&A execution. Has worked on cross-border transactions across BFSI, healthcare, and technology sectors.
Anjana Srinivasan
Client Service Associate
Independent6+ Years
Client service professional with 6+ years in wealth management and equity research. Specializes in portfolio construction, client advisory, and market analysis for high-net-worth individuals and institutional investors.
Upama Das
Senior Investment Analyst
Independent9+ Years
Senior investment analyst with 9+ years spanning private equity, venture capital, and public markets. Expert in startup valuation, cap table modeling, and fundraising strategy. Has evaluated 100+ deals across sectors.
Career Paths
Where Can This Take You?
Our hands-on, industry-aligned curriculum prepares you for the most coveted roles across investment banking, private equity, and corporate finance.
Explore opportunities across
- Investment banking
- Private equity
- Corporate finance
Investment Banking
Explore opportunities across investment banking.
- Investment Banking Analyst
- Investment Banking Associate
- M&A Analyst
- Corporate Finance Analyst
Private Equity
Explore opportunities across private equity.
- Private Equity Analyst
- Investment Analyst
- Deal Analyst
Transaction Advisory
Explore opportunities across transaction advisory.
- Transaction Advisory Analyst
- Financial Due Diligence Analyst
- Deal Advisory Analyst
- Transaction Services Analyst
Capital Markets
Explore opportunities across capital markets.
- Equity Capital Markets Analyst
- Debt Capital Markets Analyst
- Credit Analyst
Valuation & Corporate Finance
Explore opportunities across valuation & corporate finance.
- Valuation Analyst
- Financial Modelling Analyst
- Corporate Development Analyst
- Corporate Finance Analyst
Not sure which finance role best fits your goals?
Get career guidanceAlumni Success
Career journeys from our alumni
Explore the roles and career journeys shared by Meritshot alumni, or understand how to build your investment banking career. Read the verified story of Manjula’s move from sales to Financial Analyst to see how a career change takes shape.
Get Industry-Recognized Certification
Earn credentials that validate your investment banking expertise and set you apart in competitive finance hiring.
Explore your certificates
2000+Certificates Issued
100%Employer Recognition
GlobalAcceptance
Industry-Recognized Credentials
Get a Post Graduate Certificate in Investment Banking trusted by top financial firms worldwide.
Built for Career Impact
Certificates backed by real projects, industry-standard curriculum, and mentors from top banks.
Seamless Digital Verification
Achievements instantly verifiable and globally accepted by recruiters across finance.
*Certificate Conditions
- You must participate in all the assignments and activities.
- You must attempt all the Tests, and complete all the Project Submissions.
- It will be issued through Forage.
Hiring Partners
Hiring Partners and Alumni Employers
World-class companies and fast-growing startups that hire our trained professionals for impactful roles across technology, finance, consulting, and cyber security.
...and many more across tech, finance, consulting & cyber security
As Seen In
The press review, in their words
Nine of India's biggest newsrooms have covered what Meritshot does for careers. Their verdicts, pinned up.
“Bridging the gap between education and employability in India”
— The Economic Times“Redefining career outcomes for graduates”
— The Times of India“Helping thousands switch to high-paying tech careers”
— NDTV“A placement-first approach producing record-breaking career transitions”
— India Today“Meritshot alumni are leading India's digital workforce”
— Hindustan Times...and more media partners recognising Meritshot's impact
Tools You’ll Work With
Build a Modern Investment Banking Toolkit
Connect modelling, financial analytics and responsible AI-assisted research in one workflow.
Advanced Excel
Program ToolkitAdvanced Excel · Power Query · VBA & Macros
Three-statement models, scenarios, sensitivities, model audits and integrated transaction models.
Key Features
Excel shortcuts and investment banking formatting standards
Advanced formulas and lookups
Three-statement financial modelling
Revenue and expense forecasting
Working-capital modelling
Scenario and sensitivity analysis
VBA and macro fundamentals
Error checks and model auditability
Best for
Advanced Excel · Power Query · VBA & Macros
Comparison
How Do We Compare?
See why hundreds of aspiring investment bankers choose Meritshot over other programmes.
Batch Size
Others
150–200+
Meritshot
25–30
Specialisation
Others
None
Meritshot
Financial Modelling, Valuation, IB Ops
Curriculum
Others
Generic & Outdated
Meritshot
Structured & Industry-Aligned
Career Support
Others
Limited
Meritshot
360° & Lifetime
1:1 Mentorship
Others
Rare
Meritshot
Dedicated Mentor Assigned
Case Studies & Projects
Others
Few
Meritshot
50+ Real-World Cases
Payment Options
Others
Limited
Meritshot
Easy No-Cost EMIs
Free Readiness Check
Is Investment Banking right for you?
Four honest questions. Two minutes. A personalized report — no sign-up, no score, just clarity.
~ 2 minutesNo sign-up, no formsFree personalized report
1
Motivation2
Confidence3
Time4
InvestmentYour answers stay on your device — the report is generated instantly, no details required.
FAQs
Frequently Asked Questions
Curriculum, certification, projects, career, and policies — pick a topic and jump straight to its answers.
The Program
Curriculum & Duration
Meritshot's Master in Investment Banking is a 15-month, 15-module professional training programme built around investment analysis and simulated transaction execution. The first nine months establish financial markets, Excel, modelling, valuation, M&A, venture capital, due diligence and regulation. The final six months advance into complex LBOs, merger modelling, Quality of Earnings, ECM/DCM, SQL, Power BI, Python, AI and deal execution. It is a training programme, not a confirmed university master's qualification. The curriculum is deliberately cumulative: assumptions developed in an operating model inform valuation, financing choices and investment recommendations later in the course. The final exercise is a simulated transaction rather than work performed for a real client. Prospective learners should evaluate the syllabus and practical deliverables alongside their current experience and target roles.
Investment Banking alumni, in their words.
First-hand perspectives on learning, practicing finance skills, and preparing for new roles.
IT → IB Switch
I never planned on making a move from IT into finance so quickly. Investment Banking was something I had been curious about, but I honestly didn't know where someone from a technical background was supposed to begin. What helped was having a structured learning path instead of trying to learn everything randomly. The financial modelling sessions gave me a completely different way of looking at numbers, while the live labs made me actually work through models rather than just watch someone else build them.
Avendus Associate
I honestly didn't realize how much a pitchbook could matter until I had to create one myself. Before joining Meritshot's Investment Banking program, I had seen pitchbooks mentioned in job descriptions and interviews, but I had never actually worked on one. I knew the basic idea, but I wasn't confident that I could create something that looked professional enough to show in an interview. The pitchbook creation labs changed that for me. We weren't just discussing what a pitchbook is or looking at examples on slides.
EY Strategy
What surprised me most about the Investment Banking program was how quickly the learning moved from basic concepts to actual deal-style analysis. I had expected a lot of theory, but the structured curriculum gave me a clear path, while working on real deal case studies helped me understand how the concepts are applied in practice. The biggest advantage for me was the combination of both. Instead of spending months trying to figure out what to learn next, I had a proper roadmap and practical work to build on.
Goldman Sachs Analyst
I knew from the beginning that getting into Investment Banking wasn't going to happen just by completing a course and adding a certificate to my resume. I needed to actually understand the work, especially financial modelling, valuation, and how deals are analysed. That's what made me take Meritshot's program seriously. The program was definitely rigorous. There were days when the modelling assignments took much longer than I expected, and some of the case studies were genuinely challenging.
Deloitte Advisory
The DCF and M&A case studies made a huge difference during my interviews. Instead of memorizing technical answers, I could explain the logic behind the numbers and deals. That practical exposure gave me the confidence to move into Financial Advisory at Deloitte.
70% Salary Hike
Started with zero practical finance knowledge. Built models from scratch. Struggled. Practised. Improved. Eventually, financial modelling stopped feeling intimidating and started feeling natural.
Kotak IB Analyst
I compared a lot of Investment Banking programs before joining Meritshot. What stood out was simple theory, actual modelling practice, and interview preparation in one place. No unnecessary fluff. I learned the concepts, built the models, practised for interviews, and felt much more prepared for the actual job hunt.
1400+Alumni Placed
95%Placement Rate
400+Hiring Partners
80%Avg. Salary Hike
Included in your journey
- Free career counselling session
- Hands-on financial modelling
- 1:1 mentorship
- Investment committee simulations
Applied Learning
Models, cases and assessments
1:1 Mentorship
Guidance for projects and interviews
Financial Analytics
SQL, Power BI and Python
Deal Execution
Integrated transaction capstone
15Months of Structured Learning
15Industry-Focused Modules
2Progressive Learning Phases