The Master of Science (MSc) is a two year program consisting of both course work and a thesis. Most course work is completed in the first year of the program, while the thesis is completed in the second year.
The MSc program provides excellent preparation for students interested in advanced research who wish to pursue Doctoral studies and a career as a business professor or consultant. The MSc thesis is a major empirical research project that allows students to focus on a specific topic of particular interest and publish their results. Students are encouraged to select a topic addressing a contemporary business problem and apply technical and analytical skills to propose relevant solutions
|Core||9 credits||6 credits||6 credits|
|Electives||15 credits||18 credits||18 credits|
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The course will begin with a rigorous review of microeconomic theory including analysis of consumer behaviour and demand, the theory of production and supply, optimal price and output determination by firms, and the concept of market equilibrium. Within this framework, the course will then focus specifically on the equilibrium determination of interest rates and asset prices under conditions of uncertainty. Finally, the course will discuss the role of market imperfections for decisions under uncertainty with particular emphasis on agency problems.
Various Linear Model topics in statistical analysis applied to business and economic problems will be reviewed. This will include design of experiments, analysis of variance, multiple regression, model building, multi-collinearity influential observations, variable selection techniques, ANOVA models with random effects, analysis of covariance etc. Case studies illustrating the different areas of application will be used.
Program: M. Sc.
This seminar is intended to prepare students to conduct econometric analysis in financial research. The material builds up on the topics covered in the core course MSCA 602 and continues to provide an in-depth understanding of the advanced econometric techniques in finance. Topics covered include: maximum likelihood estimation, autoregressive estimation techniques, generalized least square procedures, simultaneous equation systems, non-linear estimation techniques, limited dependant variables, and qualitative response model. In addition, the course provides an introduction to the use and the development of stochastic modeling in finance.
The objective of this seminar is to provide a basic understanding of the research process and a knowledge of the methods used in the design and execution of scientific research relevant to social sciences, and specifically the business context. The seminar helps students to develop skills needed to assess the feasibility and potential contribution of proposed studies, and to critically evaluate research reported by others. The application of relevant research methods are reviewed through discussions of exemplary articles published in leading journals. Cornerstone topics in this seminar include: theory construction, measurement, overview of data collection methods, reliability, as well as internal and external validity issues.
Prerequisites & notes
Students who have taken MSCA 612, MSCA 613 or MSCA 614 may not take this seminar for credit.
The MSc thesis requirement is intended to provide candidates with an opportunity to carry out an investigation in depth in a particular area of interest and to make a contribution to knowledge in the area. It is expected that the thesis will include a comprehensive and critical synthesis of the relevant literature and will also embody either a theoretical contribution to knowledge, a rigorous empirical investigation or both. A Thesis Committee consists of a faculty member as Supervisor and two other faculty members. An Examining Committee consists of the Thesis Committee and a Thesis Examination Chair appointed by the School’s MSc Director in accordance with the thesis regulations specified in the graduate calendar.