Top of page
Skip to main content
Main content

Business+Data

  • Data and Decision Sciences (DATASCI)
    • DATASCI 385: Basic concepts of modern quantitative finance and investments. Focus is on the financial theory and empirical evidence that are useful for investment decisions. Topics: basic interest rates; evaluating investments: present value and internal rate of return; fixed-income markets: bonds, yield, duration, portfolio immunization; term structure of interest rates; measuring risk: volatility and value at risk; designing optimal portfolios; risk-return tradeoff: capital asset pricing model and extensions.
  • Economics (ECON)
    • ECON 215 – Stocks,Bonds&Financl Markets: Introduction to the role of various financial markets in an economy. Topics include the stock market, bonds, futures, options, and other derivative assets.
    • ECON 333 – Financial Economics: We introduce the workings of financial markets and institutions. We examine several types of financial instruments, their markets, and the roles of investment banks, security brokers, hedge funds, and venture capital firms. We will learn about financial cycles and regulation of financial markets.
    • ECON 411 – Money & Banking: Economics of money, credit, and banking with emphasis on factors influencing the quantity of money and effects on employment, output, and prices. Economic analysis of financial markets, financial institutions, monetary policy, and inflation.
    • ECON 415 – Behavioral Economics & Finance: This course covers topics in behavioral economics and finance, including quasi-experiments and tests of market efficiency, bounded rationality and household behavior, limit of arbitrage, bubbles and crashes, social interactions, and implications of market inefficiency for corporate behavior. 201) or equivalent transfer credit as prerequisite.
  • Environmental Sciences (ENVS)
    • ENVS 324 – Environmental Economics: This course introduces the fields of environmental and ecological economics. Our focus is on how economic thinking can be used to interpret and inform environmental policy and management of pollution, climate change, fisheries, forestry, water, biodiversity, and food production. ENVS 270) or equivalent transfer credit.
    • ENVS 352 – Sustainable Business Strategy: Explores the role of business in "doing good" for society, how to develop a vision for sustainability within a company, what it means to work on environmental concerns in a major corporation, and compares the approaches of leading companies. Emphasis on readings, writing assignments and discussion. or ENVS 227W/POLS 227W or equivalent transfer credit as prerequisite.
  • History (HIST)
    • HIST 307 – Creating Capitalism 1500-1800: Our course will examine the economic transformations that created capitalism between 1500 and 1800, exploring how they laid the foundations for the modern world economy.
    • HIST 456W – Capitalism and Anthropocene: Jr/Sr Colloquium. This course is an exploration in world history, with a particular interest in how humans have altered planetary processes such as climate. A central issue will be understanding the historical development of capitalism.
  • Neuroscience & Behavioral Biology (NBB)
    • NBB 381 – Neuroeconomics:Decision-Making: Students will be introduced to the field of neuroeconomics, which uses neuroscience techniques to understand human decision- making. Students will learn about theoretical approaches to and techniques for studying individual decision-making and how to use this knowledge to make better decisions. 353) or PSYC 207 or PSYC 215 or PSYC 309/LING 309 or PSYC 335 or equivalent transfer credit as
    • NBB 481 – Neuroeconomics: This course is designed to provide students with an introduction to the field of neuroeconomics. Upon completion of the course, students will have a basic understanding of the tools used to study the neurobiology of decision making.
  • Philosophy (PHIL)
    • PHIL 318 – Business Ethics: Topics may include the ethical priority of stake holders, conflicts of interest, the danger of externalized costs. Explores questions like: What is "business"? How does it relate to social life? What should I do? How or why should I do it? What sort of person should I be? How should I live my life?
  • Information Systems & Operations Management (ISOM)
    • ISOM 556 – Economics of Digital Platforms: This course introduces students to the economics of online markets in general and digital products in particular. Topics covered include network economics, pricing strategies, segmentation and versioning for digital products, impact of bundling services. Students are introduced to both analytical models as well as empirical analysis using real world data from the entertainment industry. The course will include advanced topics include concepts of standards competition, lock-in strategies, etc. We will take a practice oriented approach where theory and case studies will be combined with a number of industry speakers.
    • ISOM 672 – Introduction to Business Data Analytics: We will study the fundamental principles and techniques of data mining in order to extract useful information and knowledge from data. We will improve our ability to approach problems "data-analytically", examine real-world examples that place data mining in context, and apply data-mining techniques while working hands-on with data mining projects. The course will provide an understanding of the general framework for building and evaluating predictive models, both for classification and numeric prediction data mining tasks. The course will cover supervised predictive modeling techniques, as well as unsupervised predictive modeling techniques.
    • ISOM 641 – Data Visualization for 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.
    • ISOM 454 – Data Science for Business: This a comprehensive course that introduces the methodology and practice of machine learning and is designed to equip students with the knowledge and practical coding skills to leverage data as a strategic asset and make informed business decisions. The class covers both classical and modern data science ideas and methods such as regression, nonlinearity, regularization, deep learning and reinforcement learning, and emphasizes implementing these methods in real business problems through coding. Having completed this course, the students will be well-prepared to harness the power of data science to solve complex business problems and make data-driven decisions that can lead to competitive advantages.
  • Business (BUS)
    • BUS 350 – Data and Decision Analtyics: Teaches students to deal with, manipulate, and gain insight from data to solve problems in the 21st-century business context. Students will analyze business data and perform predictive analytics by working with real-world data across a variety of industries and business contexts to engage in applied problem-solving. The class will familiarize students with a set of increasingly sophisticated tools and techniques (models and methodologies) for data-based business decision making. Students will additionally be exposed to a variety of technological tools commonly used in business analytics.
    • BUS 365 – Business Communication Strategy: Communication skills are critical to your success at Goizueta. Business Communication Strategy creates the foundation for strong communication & introduces the dynamics of interpersonal & organizational communication. You will create, develop, & deliver professional presentations & documents, individually and in a team. Through the DISC® assessment, you will increase your self-awareness, which helps you identify your most productive communication style.

Internships

  • Chatham Road Capital
  • Starwood Property Trust
  • Sellside Group, LLC
  • Third and Urban

Capstones

  • Balentine Financial

  • Arohi Asset Management
  • BlackRock
  • BNP Paribas
  • Brookfield Asset Management
  • Cantor Fitzgerald
  • Capital One
  • Cerberus Capital Management
  • CITIC Securities
  • Citadel
  • Citi
  • Deutsche Bank
  • Eagle Point Credit Management
  • EARNEST Partners
  • EQT Group
  • Evercore
  • Federal Reserve Bank of Atlanta
  • Federal Reserve Board
  • Fidelity Investments
  • Goldman Sachs
  • HSBC
  • Jane Street
  • Jefferies
  • JPMorgan Chase & Co.
  • Macquarie Group
  • Marshall Wace
  • MKH Capital Partners
  • Mizuho
  • Morgan Stanley
  • Nomura
  • PGIM
  • PNC
  • RBC Capital Markets
  • Raymond James
  • Société Générale
  • Swiss Re
  • Truist
  • U.S. Bank
  • UBS (Union Bank of Switzerland)
  • Voya Financial
  • Woori Private Equity Asset Management

  • Ruoxuan Xiong

  • Abhishek Ananth

  • Kevin McAlister

  • Joe Sutherland (CAIL)

  • Luis Martinez (POLS)

  • Nate Silverblatt (Microsoft)

TBA

  • Mark Bell

  • Renee Ducre

  • Jeff Eisenstein

  • Blake Fleischer

  • Howard Moseson

  • Rubina Ohanian

  • Neal Pawar

  • Leslie Perkins

  • Nancy Soni

  • Luke Valente

  • Lauren Weinberg