The I year Core courses are divided between Core courses for both tracks and Core courses for each track. The courses are organized in three terms, each one followed by an exam session.
I TERM - NOVEMBER / DECEMBER
Course Description: Descriptive statistic: frequency, measures of central tendency, and dispersion. Exploratory data analysis. Elementary Probability Theory. Inferential statistic and hypothesis testing Relationship between variables. Introduction to regression analysis. Each class will have a lab session.
Course Description: These seminars analyze the different aspects related to the definition of a research project or a research agenda, from the epistemological foundations of the approach chosen, to the different components of a research design.
Course Description: The central objective of the course is to develop knowledge of major theories contributing both directly and indirectly to the debate about strategy and strategic management in the last century.
II TERM - JANUARY / MARCH
Course Description: This seminar will review major contributions and recent development in marketing with a particular emphasis on the strategic interaction between firms. We will examine how firms craft their products, pricing and channel strategies to create and sustain a competitive advantage.
Course Description: This course provides Ph.D. students with advanced statistical tools for univariate and multivariate data analysis. The methods learnt in class include the most common data analysis techniques in managerial studies, and span from factor analysis to regression models, including univariate and multivariate analysis of variance and moderation and mediation analysis. At the end of the course, students will be able to understand the statistical bases of the methods learnt in class, to analyze data appropriately on SPSS, and to interpret the output of the analyses.
Course Description: In this cycle of seminars, you will be asked to read and analyze recently published papers in top-tier finance journals with a dual purpose: (a) to learn about specific lines of research in finance and (b) to focus on the structure a research paper (learn how to state the contributions, structure the research design, present the results and retrieve the data).
Course Description: The course will stress different fields of research in empirical banking. Mainly, the seminars will be related to different strands of the banking literature: i) the impact of bank regulation and supervision on the stability of capital markets; ii) credit scorings; iii) the role of government monitoring on the banking system; iv) relationship lending; v) the evaluation of monetary policies vi) dividend policy.
III TERM - APRIL / JUNE
Course Description: This course provides some analytical tools for understanding innovative activities, their sources, the modes of knowledge exchange among different actors, the implications for the management of intellectual property, organizational learning and competitive strategy. The program centers on the idea that management scholars and business practitioners should possess a deep theoretical understanding of the drivers of change in all sectors of the economy.
Course description: This course introduces the epistemological and methodological premises of qualitative research and presents the methods and techniques for gathering, analyzing, writing-up, and using qualitative data. Specifically, it illustrates the qualitative methods used in social science research, focusing primarily on observations and interviews. The course will also discuss the coding techniques for turning field data into field notes, written ethnographic reports, grounded theories, and research papers.
Course Description: This course has the objective of introducing doctoral students to recent empirical research in corporate finance. Topics will cover four main areas: Ethical finance; M&A; IPO; the use of accounting data in finance