Quantitative Methods and Strategic Decision Making
The course of Quantitative Methods equips students with essential skills in applying quantitative techniques to solve real-world problems in business, healthcare, management, and other industries. Learners will focus on interpreting data, formulating mathematical models, and making informed decisions based on their analysis. With foundational knowledge in probability, regression, linear programming, and decision-making under uncertainty, students will use tools like MS Excel and Excel QM to drive data-backed insights. Employers are expected to provide regular guidance, offer access to all relevant project information, participate in virtual feedback sessions. Your constructive feedback will help students refine their problem-solving and decision-making skills through practical application.
Healthcare Analytics in Action
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This experience is designed for learners enrolled in a healthcare analytics course, where they gain skills in data analysis, statistical methods, and healthcare systems. Learners are equipped to apply these skills to real-world projects, offering insights into healthcare data trends, patient outcomes, and operational efficiencies. By engaging with industry professionals, learners can translate classroom knowledge into actionable solutions that address specific challenges within the healthcare sector.
Quantitative Methods and Decision Theory MGSC 2103-0
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The course of Quantitative Methods equips students with essential skills in applying quantitative techniques to solve real-world problems in business, healthcare, management, and other industries. Learners will focus on interpreting data, formulating mathematical models, and making informed decisions based on their analysis. With foundational knowledge in probability, regression, linear programming, and decision-making under uncertainty, students will use tools like MS Excel and Excel QM to drive data-backed insights. Employers are expected to provide regular guidance, offer access to all relevant project information, participate in virtual feedback sessions. Your constructive feedback will help students refine their problem-solving and decision-making skills through practical application.
Health Care Analytics Project
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Some of the topics in this course are an overview of the Canadian healthcare landscape, medical records and information cycle, current issues with healthcare informatics and data analytics, structure of healthcare communities and record standards. Other topics are data collection and the use and rules of discloser of healthcare records. Principles of communication, and change management of quality data and information while maintaining the security of health information throughout its lifecycle are also addressed. Students will be able to conduct reviews and collect information about the healthcare system. organize data, conduct basic analysis of healthcare data. They will also understand different applications of EMR and EHR and compare features of applications.