Courses

Required Courses:

MGMT 902 - Research Methods and Publication Ethics: To provide skills to define research problems and to use methodology to deal with them scholarly while adhering to the scholarly values of academic research.

MGMT 960 – Seminar: To provide candidates with opportunities to practice paper review and discussion.

MGMT 937 - Master's Thesis I: The MSc thesis is a study that can be transformed into original academic research. In the first phase, theoretical and experimental literature in interest is reviewed, concepts are developed, and the research design is determined. Throughout the process, a faculty member provides guidance to the candidate.

MGMT 938 - Master's Thesis II: The MSc thesis is a study that can reflect original academic research and, in principle, can be transformed into a peer-reviewed publication. In the second phase, the candidate conducts their research by systematically collecting data, organizing the collected data, and evaluating its reliability and validity. A designated faculty member offers guidance throughout this process.

Elective Courses:

ECON 910 - Introduction to Econometrics: The course discusses tools and techniques used in empirical investigations guided by economic theory. First, it covers the probability and statistics foundations of econometrics. Second, it covers linear regression and estimation, inference, and applications motivated by the Classical Regression Model and its extensions. Third, it covers situations in which least squares estimation is either not the best alternative or is simply not suitable. The methods covered are Instrumental variable, Difference-in-Difference estimation, Maximum Likelihood, and Limited Dependent Variable Models.

ECON 911 – Advanced Econometrics: The course consists of two main parts. The first part covers linear regression and emphasizes estimation, inference, and applications motivated by the Classical Regression Model and its extensions. The second part is devoted to situations in which least squares estimation is either not the best alternative or is simply not suitable. The methods covered are Instrumental Variable, Generalized Method of Moments, the Maximum Likelihood method, Multivariate Models, Stationary and Non-Stationary Time-Series and Panel models.

ECON 913 - Economic Theory: This course is a graduate level introduction to microeconomic and macroeconomic theory. It studies the behavior of consumers and firms in non-strategic environments.  The first half of the course focuses on microeconomics and covers general competitive equilibrium, welfare economics, choice under uncertainty, and general equilibrium with uncertainty in a pure exchange economy. The second half focuses on macroeconomics and covers neoclassical macroeconomic models, intertemporal consumption and saving decisions, consumption-based asset pricing, investment decisions of firms, and general equilibrium with production.

FIN 901 - Corporate Finance: The course builds in particular on Corporate Finance Theory and Empirical Issues in Finance. It covers capital structure theories and dividend policies of corporations, agency theory and the theory of firm, going public decision and initial public offerings, corporate control and governance, mergers and acquisitions.

FIN 907 – Asset Pricing: This course uses the stochastic discount factor and consumption based models as a unifying framework that can be applied to explain the valuation of real and financial assets. The basic tools of the asset pricing theory are first introduced, and then used to analyze the current advances in the asset pricing literature. The learner gets acquainted with popular databases and statistical software that can be used to extract and process data, comes up with an original research idea and writes a formal research proposal, and carries out initial steps towards writing a full-fledged research article worthy of publication in academic journals.

FIN 916 - Empirical Asset Pricing: This course introduces students to the literature on empirical asset pricing. It assumes theoretical knowledge of asset pricing models and focuses on data analysis, estimation, and hypothesis testing. The main area of study is the cross-section of stock returns where the goal is to discover common factors that cause expected returns to move together. The course takes a chronological approach to the anomaly literature and introduces each factor using the original articles. The students replicate the results of influential studies on their own and discuss their findings. They are expected to develop a sense of how empirical and theoretical research often contradict and motivate each other to advance our knowledge.

MGMT 903 - Advanced Managerial Economics: This course provides methods for analyzing how individuals, firms and other organizations choose actions and make decisions in interactive situations - when the consequences of actions and decisions by one party are affected by the actions of others. It provides an overview of the foundations of microstructures of markets and the technical tools and background needed to apply the methodology.

MGMT 906 - Strategy Formulation: This course covers the fundamental theories of strategic management (SM) and their empirical applications. In the course, seminal papers and book chapters, both theoretical and empirical, are read and analyzed to understand (1) the fundamental questions that strategy researchers have dealt with, (2) the major schools of thought, (3) the theoretical evolution of the field, (4) the fundamental debates in strategy, and (5) where the field is headed.

MGMT 908 - Organization Theory: The course surveys the fundamentals of the organization theory as it relates to management. During the first part of the course students become familiar with the classics in the literature. During the second part, current theories of organization theory are introduced. Various research methods used in different research streams are discussed and analyzed.

MGMT 909 - Organizational Behavior: This course introduces theory and research, as well as the established and emerging trends in the field of organizational behavior. It provides foundation knowledge in organizational behavior, including classic and contemporary theories, ongoing controversies, and ground breaking empirical studies. The course covers:  - organizational behavior perspectives;  - theory building, models, methods and data in organizational behavior;  - selected topics in organizational behavior.

MGMT 915 - Advanced Mathematics for Business: This course introduces and reinforces the essential mathematical skills needed to understand, analyze, and solve analytical problems related to business and economics. The concepts covered are Calculus, Linear Algebra, Multivariable Calculus, Real Analysis, Probability Theory, Mathematical Statistics, Game Theory and Differential Equations.

MGMT 916 - Research Methods in Marketing and Management: This course introduces students to various fundamental research methods and traditions used by scholars in the fields of marketing and management. Starting with a comprehensive overview of the research process, the course provides students with a solid foundation they can build on throughout their academic journey. Emphasizing a hands-on approach, students are introduced to the world of data analysis through qualitative, experimental, quantitative, and advanced research methods. Each module is designed to ensure an in-depth understanding of different research approaches, aiming to equip students with the skills to handle the challenges they will encounter in marketing and management research.

MKTG 903 - Managerial Marketing Theory: This PhD seminar is inspired by problems marketing managers face. Thus, the emphasis is on what is known and what is still needed to address these problems. The course covers: identifying and formulating managerial problems (to be) addressed by academic research, developing the conceptual and empirical frameworks to analyze these problems, and communicating findings to academic and managerial audiences (publication and impact).

MKTG 904 - Consumer Behavior: The course covers mainly experimental research in Marketing and Psychology having to do with how people process information as a basis for making judgments. The first part of the course focuses on experimental methodology to enhance the understanding of methodological sections of the papers that are covered. The second part of the course discusses how people attend to information, how such information is related to prior knowledge, and how this knowledge guides judgments.

OPM 901 - Linear Programming and Extensions: This course provides a sound theoretical background on linear optimization and its extensions in other optimization areas. It builds upon previously acquired introductory knowledge on Linear Programming (LP), which includes development of LP models and the workings of the Simplex Algorithm. The course focuses on the mathematical underpinnings of the Simplex Algorithm and linear optimization in general. Topics include optimality conditions, duality theory, and methods for large scale optimization. Students also practice with using CPLEX, a state-of-the-art optimization software, through a project of their choice.

OPM 902 - Stochastic Processes: This course provides an overview of advanced stochastic modeling. It covers various topics including conditional probability and expectation, discrete and continuous time Markov chains, Poisson process, queueing theory, and Markov Decision Processes.

OPM 906 - Production Operations Management: Production environments pose complex systems whose behavior is hard to understand and control without any theoretical foundation. This course provides this foundation for the analysis and design of production and inventory control systems. The emphasis is on model building and analysis for the development of business strategies and operational policies in the context of various different production environments. Topics covered in this course include deterministic and stochastic inventory models, lot sizing problem and its extensions, and other selected topics of production planning and scheduling.