Overview
Finance is the study of how individuals, businesses, and institutions manage money over time. It encompasses corporate finance (how companies raise and allocate capital), investments (how to analyse and construct portfolios of stocks, bonds, and other assets), financial markets (how capital markets function and are regulated), and personal finance (how individuals plan for their financial futures). Unlike economics, which examines how entire economies work, finance focuses specifically on the management of money and the pricing of financial assets.
The curriculum covers financial accounting, corporate finance, investment analysis, portfolio management, derivatives and risk management, financial modelling, banking and financial institutions, and international finance. Students learn to build financial models in Excel, analyse company valuations using discounted cash flow and comparable methods, assess credit risk, and construct diversified investment portfolios. Many programmes incorporate Bloomberg terminals and real-time market data into coursework.
Finance graduates are among the highest-paid in business, with career paths in investment banking, asset management, private equity, corporate finance, financial advisory, and fintech. For the more mathematical and quantitative approach to financial markets, see Quantitative Finance.
The world's leading finance programmes each carve a distinctive path shaped by their institutional strengths. The Wharton School at the University of Pennsylvania is widely regarded as the global benchmark for undergraduate finance education, offering unmatched depth across corporate finance, investment management, and financial instruments—its students benefit from a curriculum that has produced more Fortune 500 CEOs than any other business school. The London School of Economics approaches finance through a rigorous quantitative and economics-driven lens, and its proximity to the City of London gives students direct access to one of the world's two largest financial centres. HEC Paris combines a strong continental European tradition of financial theory with close ties to the French banking and luxury sectors, producing graduates who move fluidly between Paris, London, and global finance hubs. MIT Sloan's finance curriculum is anchored in quantitative methods and financial engineering, reflecting MIT's broader DNA of mathematical rigour—ideal for students drawn to the analytical side of finance. The University of Chicago's Booth School of Business pioneered much of modern quantitative finance theory, including the efficient market hypothesis and options pricing models, and its programme continues to attract students who want to understand markets at the deepest theoretical level. When choosing a finance programme, students should consider whether they are drawn more toward corporate finance and strategy, quantitative modelling and trading, or the emerging intersection of finance and technology.
Career Outcomes & Salary
What jobs can I get and how much will I earn?
$65,000–$110,000 (US) / £30,000–£55,000 (UK) / S$45,000–$75,000 (SG) / A$60,000–$85,000 (AU)
$130,000–$300,000 (US, including bonus) / £70,000–£160,000 (UK) / S$100,000–$200,000 (SG)
$250,000–$1,000,000+ (US, senior finance roles including carried interest/bonus)
Strong—financial services remains one of the highest-paying industries and continues to hire aggressively from top programmes. Demand is shifting toward candidates with quantitative and programming skills. Fintech is creating new roles, while traditional banking roles are evolving. ESG and sustainable finance are growing rapidly.
Industry Trends & Outlook
Where is this field heading?
The finance industry is in the middle of a technological revolution. Algorithmic trading and quantitative strategies now dominate equity and fixed income markets, and the traditional stock-picking analyst role has evolved to require programming proficiency alongside financial judgment. Python has become as essential as Excel in many finance roles, and firms like Goldman Sachs, JPMorgan, and Citadel describe themselves as technology companies as much as financial institutions. The rise of fintech—from payment platforms like Stripe and Square to decentralized finance (DeFi) protocols—has created entirely new career categories that didn't exist a decade ago.
ESG investing has moved from the margins to the mainstream. Global sustainable investment assets exceeded $30 trillion, and major asset managers now integrate ESG criteria into their standard investment processes. This has created demand for finance professionals who understand both traditional valuation and sustainability metrics. Private credit and alternative investments have grown substantially as banks retreat from certain lending categories post-2008 regulation, creating opportunities in private equity, venture capital, and direct lending. Quantitative finance continues to expand as machine learning is applied to portfolio optimization, risk management, and market microstructure research.
For students entering university now, the finance degree remains a powerful credential—but its value is increasingly tied to technical skills. A pure 'qualitative' finance education is no longer sufficient at competitive firms. Graduates who combine financial theory with programming skills (Python, SQL, R), data analysis capabilities, and an understanding of regulatory frameworks are best positioned. The CFA designation remains valuable for investment management careers, and many students begin the CFA programme during university. The industry's biggest growth areas—fintech, quantitative strategies, ESG advisory, and risk analytics—all sit at the intersection of finance and technology.
AI & This Major
AI is transforming financial analysis—automated screening, sentiment analysis, and algorithmic trading are now standard. But this raises rather than reduces the bar for finance professionals. The ability to interpret AI-generated insights, exercise judgment in complex situations, and build client relationships remains irreplaceable. Quantitative skills and the ability to work with AI tools are becoming table stakes.
What You'll Learn
Core topics and skills covered in this degree
Is This Right For Me?
Honest self-assessment to help you decide
You'll thrive if...
- ✓You're fascinated by how markets work—why stock prices move, how companies are valued, and what drives investment decisions
- ✓You enjoy quantitative problem-solving and feel energized by financial modeling, data analysis, and working with numbers
- ✓You thrive under pressure and in competitive environments—finance attracts ambitious, driven people and the culture reflects this
- ✓You want a career with clear financial rewards and a direct connection between performance and compensation
- ✓You're intellectually curious about the intersection of economics, mathematics, and real-world business decisions
Might not be for you if...
- ●You prefer a relaxed work-life balance—investment banking and trading roles are known for demanding hours, especially early in your career
- ●Highly competitive, results-driven environments stress you out rather than motivate you
- ●You find working with spreadsheets, financial models, and quantitative data tedious rather than engaging
- ●You're uncomfortable with the ethical complexities that come with finance—market incentives don't always align with social good
- ●You prefer creative, unstructured work—much of junior finance work involves structured analysis within established frameworks
A Day in the Life
What a typical week actually looks like
A typical week in Year 2 starts with Monday morning's Corporate Finance lecture—the backbone of any finance degree. This week you're learning about capital structure theory, working through the Modigliani-Miller propositions and their real-world limitations: how taxes, bankruptcy costs, and agency problems make the 'optimal' debt-equity mix more art than science. After lunch, your Investments tutorial has you building a discounted cash flow (DCF) model for a publicly traded consumer goods company, estimating free cash flows, choosing an appropriate discount rate, and defending your terminal value assumptions to your tutorial group.
Tuesday is a mix of Financial Econometrics (running time-series regressions in R to test whether past stock returns predict future performance—spoiler: they largely don't) and a Financial Markets & Institutions lecture covering how central bank monetary policy transmits through the banking system. The econometrics assignment due this week requires you to replicate a published study on market efficiency using real stock price data. Wednesday brings your Fixed Income and Derivatives course, where you're pricing interest rate swaps and working through the Black-Scholes option pricing model—the math gets serious here, with partial differential equations making an appearance.
Thursday afternoon is the Bloomberg Lab session, where you use professional-grade terminals to pull market data, screen for companies meeting specific financial criteria, and run comparable company valuations. You're also working on your semester-long equity research project—a full company valuation report modeled on what sell-side analysts produce. Friday is lighter, with office hours and time to work through problem sets. Weekends typically involve a mix of model building in Excel, reading the Financial Times, and preparing for the networking events that finance programmes organize with alumni in investment banking, asset management, and consulting. The pace is demanding, but the direct connection between what you're learning and what professionals actually do keeps it compelling.
High School Preparation
What to study and do before university
Skills to Develop
- •Build advanced Excel skills—learn financial functions (NPV, IRR, PMT), data tables, and basic VBA macros. Excel is the lingua franca of finance
- •Follow financial markets—read the Financial Times or Wall Street Journal daily. Understanding what moves markets and why builds the commercial awareness interviewers test for
- •Learn to read financial statements—practice analyzing public company 10-K filings. Understand how revenue flows through the income statement, what working capital means on the balance sheet, and how to interpret cash flow statements
- •Start learning Python or R for data analysis—quantitative finance increasingly requires programming, and getting comfortable early is a significant advantage
Extracurriculars
- •Join or create an investment club—manage a virtual portfolio and present stock pitches to build analytical and presentation skills
- •Participate in finance or trading competitions such as the CFA Research Challenge (university level) or stock pitch contests
- •Seek internships at banks, asset managers, or financial advisory firms—even basic work experience signals commitment to the field
- •Follow the CFA Institute's free learning resources to understand the professional landscape and begin building foundational knowledge
- •Attend talks or webinars by finance professionals—understanding career paths early helps you target your preparation
How This Compares to Similar Majors
Side-by-side with related fields
Getting In — Admissions Guide
How competitive is this major and how to stand out
Finance is highly competitive at top programmes. Wharton, Stern (NYU), and London Business School's undergraduate offerings are among the most selective in any discipline. In the UK, LSE and UCL finance programmes typically require A*AA with Mathematics. IB students generally need 38–42 points with a 7 in HL Mathematics. Competition is driven by the direct pipeline these programmes have into investment banking and asset management.
What Strengthens Your Application
- 1Exceptional mathematics results—quantitative rigor is the single most important factor
- 2Demonstrated interest in financial markets—running an investment club, following markets, or completing relevant online courses
- 3Programming experience (Python, R, or VBA)—increasingly valued as finance becomes more technical
- 4Work experience in any financial services environment—even brief internships demonstrate commitment
- 5A strong personal statement that explains why finance specifically, with genuine intellectual curiosity beyond 'it pays well'
Common Mistakes to Avoid
- ●Focusing your personal statement on salary and prestige rather than genuine intellectual interest in how markets work
- ●Neglecting mathematics preparation—top programmes effectively require Further Mathematics or equivalent
- ●Applying to finance without being able to discuss a current financial topic intelligently—commercial awareness is tested in interviews
Interview & Admission Tests
Several top programmes interview candidates—LSE and Warwick may use written assessments, while US schools often include behavioral and technical interviews. Be prepared to discuss why finance, walk through a basic valuation framework, and discuss a current market event. For investment banking-focused programmes, technical knowledge of DCF and comparable analysis is increasingly tested even at the undergraduate admissions stage.
Related Majors
Frequently Asked Questions
What do you study in Finance?
Finance is the study of how individuals, businesses, and institutions manage money over time. It encompasses corporate finance (how companies raise and allocate capital), investments (how to analyse and construct portfolios of stocks, bonds, and other assets), financial markets (how capital markets function and are regulated), and personal finance (how indiv…
What can you do after a Finance degree?
Typical entry-level roles: Investment Banking Analyst, Equity Research Analyst, Financial Analyst, Risk Analyst, Asset Management Analyst (starting salary $65,000–$110,000 (US) / £30,000–£55,000 (UK) / S$45,000–$75,000 (SG) / A$60,000–$85,000 (AU)). Key industries: Investment Banking, Asset Management, Private Equity & Venture Capital, Hedge Funds, Corporate Finance. Strong—financial services remains one of the highest-paying industries and continues to hire aggressively from top programmes. Demand is shifting toward candida…
Which high-school courses prepare you for Finance?
Recommended IB courses: HL Mathematics: Analysis and Approaches, HL Economics; Recommended AP courses: AP Calculus BC, AP Microeconomics, AP Statistics; Recommended A-Levels: Mathematics, Further Mathematics, Economics.
Want to prepare for Finance?
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