Master of Analytical Finance

Immersive Academics



This STEM-designated master's degree in finance puts theory into practice daily. Built by those who understand this industry from the inside out, the program combines the strategic and technical expertise needed of next gen finance professionals. You’ll gain deep understanding from action-based learning and then put that knowledge into practice. When you aren’t learning from experts or exchanging ideas with peers in the classroom, you’ll dive into ongoing analyst immersions that take you into the Finance Lab, spending Fridays "on the job," and completing client projects.

How We Do It

  • Start the right way

    The program begins with learning how the global markets and trade really work. From there, you'll dive into topics of increasing complexity, building a strong foundation in trading products, investment strategies, and modeling, while allowing you to dig deeply into the analytics and tech. R Studio, Python, and Power BI — you’ll learn how to leverage the latest tools and software.
  • Active learning

    Put your skills to the test in our interactive, professional finance trading floor. The Finance Lab gives you instant, 24/7-access to experience the pace of live global markets and build proficiency in professional industry platforms such as Bloomberg, Factset, and Refinitiv. We’ll take you into financial hubs around the globe. Pitches, strategy sessions, analysis — learn it by doing it.
  • Real-world immersion

    Our unique program design includes internship-style work experience built into the program. Every Friday is spent “on the job” training as an analyst. Network while collaborating with global practitioners via live video conferencing. Tackle a specialized client project that challenges you to apply your knowledge and prove your ingenuity in real-time for real clients.

Human Intelligence + The Power of Deep Data

Goizueta Finance Lab
Internship-Equivalent Experience

The Finance Lab

The Finance Lab serves as the central hub for immersive, real-world learning. It enables 24/7 access to global markets and the experience of trading products in real time in a professional trading floor setting. You will leverage state-of-the-art tools, real-time market data, and trading platforms to model, trade, and collaborate with your fellow students and industry practitioners. Fridays spent "on the job" will be spent in the lab solving real world problems in each industry sector and completing real client projects. The real-time setting, topics, and format of Fridays jumpstart your career.

Where STEM Meets Wall Street

Wall Street
Real Projects with Real Clients

A deep understanding of finance with wide-open opportunities

The Master of Analytical Finance program mirrors on-the-job experience. You’ll participate in the working life of a Wall Street analyst rotating through four divisions of a top-tier global bank or fund. You’ll make market calls, research and trade recommendations, and pitch strategic data-driven initiatives that add societal value. By program’s end, you’ll gain exposure to a variety of workstreams within a global financial institution, earn your professional licensing, and experience client exposure through projects, off-site visits, and a mentor program. All the while, you’ll find your best fit within your chosen finance specialty.

Your path to Master of Analytical Finance

Our modern curriculum combines deep insights into modern finance with practical know-how. In 10 months, you'll complete four rotations and be guided through the foundations of finance topics with increasing complexity, starting with how the global markets work and what asset classes are traded worldwide. As you gain expertise, you’ll explore trading strategies, asset management, risk management, and FinTech innovative techniques, with the flexibility to specialize in cutting-edge industry areas such as environmental, social, and corporate governance (ESG) investing, algorithmic trading, and FinTech innovations.
  • August Orientation

  • Finance Prep

    Get up to speed
    During orientation we ensure sure you have a solid foundation in the fundamentals of business, technology, business statistics, and business math. Think of it as a as rapid knowledge infuser designed to bring you up to speed.
  • Fall Semester

  • Rotation 1

    Global markets
    Dig into how the global markets work, how the financial system operates, and track how real-world news and events are driven by finance fundamentals. Get ready for weekly bank-style market update calls, idea pitches, and research reports that bring you into the experience. Your classes — such as Corporate Finance and Investment Banking and Equities and Derivatives — immerse you in the world of finance.
    Explore Projects
  • Off-Site Trek

    Visit financial capitals
    See first-hand how markets work. Off-site treks to financial hubs such as New York City and London provide an inside look at global banks, stock markets, and investment firms.
  • Rotation 2

    Sales, trading, and asset portfolios
    Learn the products and how they work. Explore current market conditions. Experience how ethics and regulations help investors operate in a global marketplace. Discover what can go wrong and how to pivot. Directly commit capital and pitch investment ideas. By the end of this rotation, you’ll have completed some of your professional licensing and CFA prep.
    Explore Projects
  • Winter Break

  • Fast-Track Internship

    Get exposure in the field
    Take the opportunity to complete a fast-track internship (virtual or in person) with an external firm over the winter break.
  • Spring Semester

  • Team Allocations

    Get ready to do the work
    During the spring semester rotations, you will spend time in two teams — the Asset Management Team and the Global Leadership Team. This is meant to re-create the working environment in a financial institution.
  • Rotation 3

    Asset Management Team
    Advise investors on actively managed strategies across asset classes to build portfolios and manage capital. Use cutting-edge innovation and financial technology to capture value and deliver customer-driven results. Dig into strategy specialties such as ESG, emerging markets, and digital currencies. Leverage your knowledge and assess the risks in a targeted client project that delivers returns on actively managed client-driven investment portfolios and products.
    Explore Projects
  • Rotation 4

    Global Leadership Team
    Develop strategies to deploy capital to make the world a better place. Pitch a strategic, data-driven initiative as a force for good. Manage and allocate risks across the banking enterprise. Craft corporate hedge strategies for procurement of goods, services, and cross-currency trading. Innovate FinTech solutions. During this rotation's client project, you'll deliver client-oriented solutions with actionable risk/reward assessments.
    Explore Projects
  • Program Graduation

Master of Finance courses

Course Descriptions

This course introduces coding for financial analysis using Python. Python is the most popular programming language (globally) due to its simplicity, versatility, and community support and is widely used in computational finance. This course will give students, with little or no prior programming experience, working knowledge of programming in Python and in using the Python data analysis package Pandas to compute analytical solutions for financial insights. The course will also address using Python to obtain data both from databases and the web more generally. The goal is not only to learn about programming, but also to enhance students’ analytical thinking and ability to frame and solve problems. To complement and apply the learning we will use business examples drawn from applications in finance.

In Financial Analysis and Visualization we explore the techniques and tools used to create effective visualizations that clearly and efficiently communicate relationships within financial data. The field of data visualization combines the art of graphic design with the science of data analytics. Students perform exploratory analysis through visualization, create professional and engaging visualizations for use in financial decision processes, and design interactive visualizations and dashboards. The course considers the common quantitative messages users attempt to understand or communicate from a set of data and the associated visualizations used to help communicate each message. These include time series, rankings, proportions, deviations, frequencies and distributions, correlations, categorical comparisons, and geospatial plots. Students analyze real data sets and utilize R, Power BI, and other tools to design and prototype their visualizations.

This course provides statistical tools for modeling and forecasting financial data. Topics include: Evidence on the predictability of stock and bond indexes. Forecasting equity returns with dividend yields and other standard variables. Factor models for the cross-section of equity returns, and factor selection techniques. Simulating and estimating affine models of the term structure. Time series analysis with applications to volatility modeling.

The course begins with an introduction to the financial markets for equity securities. This includes both the primary and secondary markets, and the trading and regulation of equities. Next, the focus shifts to the markets for derivative financial assets based upon equity securities. This includes both the exchange-traded markets and the over-the-counter markets. The primary focus is on option and futures contracts, and their use in both hedging and speculative trading strategies.

The course presents the primary approach used in the pricing of options and futures contracts. This utilizes the concept of the relative-value arbitrage argument that forms the basis for trading strategies and risk management. A major theme is the calculation of the dynamic characteristics of these derivative assets. Topics include comparisons between statistical and market-based parameter estimators, and between closed-form solutions and numerical methods for valuation.

This course focuses upon the valuation and uses of fixed income securities. Beginning with the fundamentals of pricing, the course moves through the modeling of the term structure of interest rates and the measurement of interest rate risk. There is broad coverage of the different sectors of the bond markets, and of the role of bond ratings. The course concludes with an analysis of structured mortgage products and fixed income derivative financial assets.

This course explores the global currency markets and how companies use analytical strategies to manage their foreign exchange exposure across different market conditions. Students will also learn about the commodity futures markets and explore the energy markets, including short-term trading strategies, long-term investments and financing, and emerging products such as carbon emissions credits.

This course introduces key concepts and computations that relate to investment portfolios. Topics include the efficient frontier, asset allocation, CAPM and multi-factor models, style analysis, types of positions, performance analysis, risk, and the movement of stock prices. Computations will be based on real world data and a variety of standard software tools.

This course examines the markets associated with equity and other financial investments. Topics include basic and advanced order types, stock and option trading styles, market timing, trading costs, brokers, volatility, noteworthy financial market events such as the flash crash, and the investment management industry. The topics are applied rather than theoretical, and many will be illustrated with online tools and via real world data analyzed on Excel or via other standard software packages.

This course will cover quantitative models for stock selection. Students will use data from financial statements, stock prices, and trading volume to develop quantitative models for profitable stock investments. Students will get hands-on experience in building models that best suit their investment horizons.

This course explores the concepts and tools in which traders and investors measure and manage the challenges of trading in the global markets, including market, counterparty credit and operational risks. Students will experiment with methods to quantify and hedge portfolio risks including calculating Value-at-Risk, analyzing a portfolio’s sensitivity to key risk factors, scenario analysis and historical stress testing. Students will learn how CROs use credit risk metrics such as current and potential future exposure to limit exposure to trading counterparties, and how these risks can be mitigated by taking initial and variance margin as negotiated in credit support annex of the ISDA.

This course is intended to give students an understanding of the corporate finance analytic work conducted by major investment banks and boutique advisory firms. Areas reviewed will include business forecasting techniques, valuation analysis, cost of capital estimation, financial ratio benchmarking, and debt capacity & credit analysis. At the conclusion of the course, students will have developed stronger corporate finance analytic skills, insight regarding the drivers of company value, and improved judgement on some of the special technical challenges that often confront bankers and financial advisors.

This course is intended to provide students with an overview of merger and acquisition (“M&A”) activity. We will review the broad set of considerations that are addressed in M&A transactions. Emphasis will be placed on the technical aspects of M&A (valuation and transaction analysis). We will also briefly address certain qualitative transaction issues. Both strategic M&A transactions and Leveraged Buyout Outs (LBOs) will be reviewed. At the conclusion of the course, students should have an improved understanding of the M&A process, terminology, and mechanics. Specifically, students should understand key M&A transaction issues relating to: transaction consideration, takeover premium, financing arrangements, and value creation.

This course is designed for MAF students to better understand (i) how the venture capital & private equity industries work, (ii) how to structure the acquisition of a business and (iii) how to leverage key value drivers in a business. There is an emphasis on the technical aspects of venture capital and private equity transactions. This course provides an actionable framework to acquire a business, including raising capital if you have little or none, identifying a business to buy, and structuring a transaction. Course elements includes case studies and guest lectures by industry professionals.

This is an analytical course on financial technology (FinTech) for MAF students. The course exposes students to the methodologies, use cases, and hands-on experiences with FinTech in financial intermediation (e.g., banking, credit, payments). The topics include big data, machine learning, automation, digital payments, peer-to-peer (P2P) lending, and equity crowdfunding. In addition to learning about the foundations of these technologies, students will write scripts for collecting and processing big data, learn how to build classification trees, and use machine-learning techniques for predictive modeling of FinTech loan defaults. The course is delivered through interactive lecturettes, in-class activities, and group projects. The course is most relevant for consulting, investment banking, private equity, entrepreneurship, and corporate finance roles.

This is an analytical course on financial technology (FinTech) for MAF students. The course exposes students to the methodologies, use cases, and hands-on experiences with FinTech in financial intermediation (e.g., banking, credit, payments). The topics include private and public blockchains, cryptocurrencies, tokens, and initial coin offerings (ICOs). In addition to learning about the foundations of these technologies, students will learn the basics of blockchain coding and develop ICO valuation models. The course is delivered through interactive lecturettes, in-class activities, and group projects. The course is most relevant for consulting, investment banking, private equity, entrepreneurship, and corporate finance roles.

This course takes place in the Finance Lab, where students experience bridge finance practice and theory through a simulated rotation into the analyst program of a major bank. The action-based workstream explores how our global financial system arises from the need to exchange assets and manage risks. Students analyze real-world news and global events, including those affecting global supply chains, foreign exchange and interest rate markets, and monetary and trading policies, and report distilled findings based on fundamental economic principles. Deliverables include running weekly bank-style "market update calls", creating research reports and dashboards, and pitching ideas.

This course utilizes the Finance Lab with an action-based workstream exploring the 24/7 pace of global trading products and how they work. Levering current market conditions, students source and pitch trading ideas in accordance with best practices of ethics and values. Students will start to build an actively managed investment vehicle in compliance with current financial regulations.

In the Finance Lab, teams of students will work with professional coaches to research, develop and pitch an original investment strategy to institutional investors. Drawing on insights from across other classes and using cutting-edge innovation and professional trading platforms, students define and present their proprietary investment strategy to a panel of institutional investors. Students have the flexibility to specialize in strategies including ESG, emerging markets or digital currencies.

This practicum course bridges theory and practice in the Finance Lab. Under the mentorship of corporate coaches, student teams will work as analysts to combine capital with conscience and develop an investment opportunity that makes the world a better place. Using the capital markets to address a pressing social, economic or environment issue (such as water, energy, food or education) students draw on their analytical skills, financial acumen and professional expertise. Teams may develop their ideas using a combination of investment styles and tools and will showcase their investment pitches to a panel of corporate leaders.

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