Courses

The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times.

  • QST MF 850: Advanced Computational Methods
    This course explores algorithmic and numerical schemes used in practice for the pricing and hedging of financial derivative products. The focus of this course lies on data analysis. It covers such topics as: stochastic models with jumps, advanced simulation methods, optimization routines, and tree- based approaches. It also introduces machine learning concepts and methodologies, including cross validation, dimensionality reduction, random forests, neural networks, clustering, and support vector machines. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
  • QST MF 921: Topics in Dynamic Asset Pricing
    This course provides a comprehensive and in-depth treatment of modern asset pricing theories. Extensive use is made of continuous time stochastic processes, stochastic calculus and optimal control. Particular emphasis will be placed on (i) consumption-portfolio choice problems and (ii) equilibrium asset pricing models. Advances involving non-separable preferences, incomplete information and heterogeneous agents will be discussed. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
  • QST MF 922: Advanced Mathematical Finance
    Provides a rigorous introduction to the modern theory of stochastic calculus, with a particular emphasis on continuous time, continuous path stochastic processes; the canonical example being Brownian motion. The main topics covered include basic definitions relating to stochastic processes: filtrations; measurability; stopping times; cadlag processes; Martingales; quadratic variation, etc.; the fundamental inequalities, convergence results, optional sampling theorem, and other properties of Martingales; the Doob-Meyer decomposition; construction of local Martingales; the analysis of the space of continuous square integrable Martingales; the definition and construction of Brownian motion: the Kolmogorov-Daniell consistency theorem, the Kolmogorov-Centsov theorem on continuous modifications; the construction of Wiener measure; analysis of Brownian motion: Markov, strong Markov properties; path regularity and distributional properties; the construction of the stochastic integral with respect to a continuous Martingale; Ito's change of variable formula; representation results; Girsanov's theorem; local time of Brownian motion; and Stochastic differential equations and diffusions: construction of strong and weak solutions; the Martingale problem; connections with partial differential equations and harmonic analysis; the Feynman-Kac formula.
  • QST MF 930: Advanced Corporate Finance
    This doctoral level class on corporate finance covers both theoretical and empirical work. Rather than explaining the underpinnings of basic corporate research (e.g., model/applications dealing with asymmetric information, agency problems, and capital market frictions), we go deeper in understanding "how to operationalize" research on concrete topics that are central to contemporary corporate finance, such as bankruptcy, capital structure, mergers and acquisitions, the firm boundaries, investment, and much more. The class also looks at the interface between corporate finance and other research areas, such as asset pricing and banking. The course is a blend of new approaches to modeling in corporate research (e.g., dynamic, structural models of financial policy that generate typically quantitative predictions) and new approaches to testing design (e.g., regression discontinuities and natural experiments). The goal is to expose the students to the "state-of-the-art" of research in corporate finance and prepare them to do research in corporate finance using new methods and tools. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
  • QST MF 990: Current Topics Seminar
    For PhD students in the Mathematical Finance program. Registered by permission only.
  • QST MF 998: Directed Study: Mathematical Finance
    PhD-level directed study in Mathematical Finance. 1, 2, or 3 cr. Application available on the Graduate Center website.
  • QST MF 999: Directed Study: Mathematical Finance
    PhD-level directed study in Mathematical Finance. 1, 2, or 3 cr. Application available on the Graduate Center website.
  • QST MG 705: PEMBA Launch
    This experience, delivered during the pre-semester, delivers key foundational concepts that will be applied throughout the MBA experience and helps to prepare students to join the MBA problem. The course is designed to lay a conceptual foundation, introduce frameworks, provide a common language for ethics and ethical decision-making, and provoke awareness of one's values and ethical frontier to help guide principled thought and analysis. Further, the course will expose students to the complexities of operating in a global environment.
  • QST MG 790: Ethical Leadership in a Global Economy
    Ethical Leadership in a Global Economy will provide students with a unique 2nd year learning experience on how the global economy is transforming economic sectors, presenting new risks, calling forth innovation, and challenging traditional values and norms. Through engagement with select firms, governmental, and civil society organizations, students will develop an appreciation of how new realities challenge traditional business integrity, strategy, and values in the global economy. Course projects and content will include both sector and functional based experiences. This course will provide opportunity for students to apply concepts which have been building through the pre-term, core, and professional skills courses.
  • QST MG 791: Ethical Leadership in a Global Economy
    Second part of QST MG790
  • QST MK 323: Marketing Management
    Component of SMG SM 323, The Cross Functional Core. Introduces students to the field of marketing management: analysis, planning and implementation of marketing strategies as the means for achieving an organization's objectives. Students analyze cases and participate in workshops that focus on key marketing management tasks: marketing research, consumer behavior, segmentation and targeting, sales forecasting, brand management, distribution channels, pricing, promotion and advertising strategies, and marketing ethics. A semester-long business plan project where students collect primary and secondary research explores the interactions and the cross functional integrations between marketing, operations, and finance, while leveraging business analytics.
  • QST MK 435: Introduction to the Music Business and Music Marketing
    Survey of the music industry with a focus on understanding of its structure and the intersection of business and music. Discusses key areas of music marketing, including opportunities for musicians, including publicity, advertising, promotion (online and traditional), digital distribution, touring, licensing/synch, and radio.
  • QST MK 442: Digital Marketing Analytics
    The internet has become a ubiquitous channel for firms to reach consumers and gather business intelligence. This course will focus on developing students' quantitative skills in the context of digital marketing analytics. We will cover topics including how to design, deploy, and measure the performance of digital marketing campaigns; how to run advertising experiments; how to analyze social network data; and, how firms can learn about their customers from unstructured text data and how they can leverage these insights to achieve their marketing goals. Throughout the class we will touch upon issues of ethical data collection and usage as it relates to digital marketing. Students will get hands on experience with cutting-edge analytics and machine learning tools through group and individual projects.
  • QST MK 445: Consumer Behavior
    Provides insight into the motivations, influences, and processes underlying consumption behavior. Considers relevant behavioral science theories/frameworks and their usefulness in formulating and evaluating marketing strategies (i.e., segmentation, positioning, product development, pricing, communications).
  • QST MK 447: Marketing Research
    Required for Marketing concentrators. Introduces tools and techniques of marketing research as an aid to marketing decision making. Definition of research problems, selection of research methodologies, design of research projects, interpretation of research results, and translation of research results into action.
  • QST MK 463: Services Marketing and Management
    Covers topics relating to customer service management and focuses on the role of marketing in managing services. Also covered are human resource, information management, operational, and financial overlaps with marketing throughout the course. Focuses on services, though there will be discussion of how services support products as well. Includes an applied service marketing team project for a real organization (for an organization which has requested a student team to address its customer service issues). The final deliverable for this project is a team consulting project for the organization and a final consulting report presentation to the class and the organization's representative(s).
  • QST MK 465: Omni-channel Retailing
    The days of brick and mortar vs. online are gone and retailing has transitioned into omni-channel retailing. In this course, you will learn how retailers are successfully navigating this transformation. The course will explore topics such as how to attract omni-channel customers, the customer purchase journey, buying and merchandising management for such settings, and what retailers need to support an omni-channel strategy. Through a combination of class discussions, cases, articles, books, and projects, the course will prepare students to enter any facet of retailing and to benefit generally from a better understanding of this dynamic industry.
  • QST MK 466: Selling and Partnership Development
    This course is an introduction to personal selling and sales force management. It is divided into two parts. The first introduces students to good selling strategy, tactics, techniques, and skills. Topics addressed include leads generation and management; preparing and making sales presentations and sales calls; handling objections, networking; building relationships; closing deals; and ethics. The second part focuses on issues related to managing a salesperson or a group of salespeople: sales force sizing, recruitment, selection, and training; designing compensation and reward schemes; establishing sales objectives/quotas; supervising, mentoring, coaching, and motivating salespeople. The course employs a combination of cases, lectures, role plays, videos, and classroom exercises.
  • QST MK 467: Global Marketing Management
    Develops a critical appreciation of both the opportunities and challenges associated with the increasing globalization of markets. Students will learn about the key environmental forces shaping the needs and preferences of the global consumer and the impact of foreign, political, and economic factors on the marketing mix. 4 cr.
  • QST MK 468: Advanced Marketing Strategy
    Provides the insight and skills necessary to formulate and implement sound marketing strategies and marketing plans. The course includes lectures, case analysis, guest speakers, and a strategic marketing management simulation where students take the role of brand manager. The simulation allows students to make decisions and see results on key topics such as segmentation, positioning, managing a brand portfolio, integrated marketing communications, and marketing channels. Other key topics explored in the course include strategic planning, customer decision making, product life cycle, market response, competitive behavior, new product development, and product line management.

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