Course Overview
The MMASc curriculum bridges the divide between disciplines in science and their application to industry, providing the management and communication skills needed to build successful careers. The goal of this program is to give students who are already trained in mathematical or computational sciences (including Mathematics, Applied Mathematics, Statistics, Computer Science, and related quantitative disciplines such as Engineering, Physics, and Economics) the essential business and communication skills and expertise in a data analytics that extends their undergraduate training and gives them an edge in a very competitive marketplace. Graduates of this field will be well prepared to take on upper administrative, management, and supervisory roles in a number of industries, and will be equipped with data analytics expertise to effectively turn raw data into valuable and actionable information. Learning Outcomes: Ability to analyze and interpret data from a wide variety of sources, and to competently apply it to support decisions and make predictions. Ability to assess and constructively critique data analyses reported in literature and the media, identifying both the accuracies and shortcomings of these analyses. Ability to independently carry out applied research and to solve practical problems in the field of data analytics. Ability to plan a project, to establish feasibility, and to schedule and manage the steps needed to bring it to successful completion. Ability to communicate, verbally and in writing, in a professional manner, including the effective use of data in supporting and refuting positions and arguments.
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