The objective of the Art of Modelling course is to train our students to approach business decisions in a logical, quantitative and systematic way. The course is concerned with processing and visualization of data, conception and development of statistical and mathematical models, evaluation of outcome and decision uncertainty, interpretation of analysis, and business insights guided by data analysis by managers in the process of creating value. The case settings, rather than replicating traditional exercises, are opportunities for students to select from an unstructured environment the appropriate analytics techniques and to organize the data, develop models, and interpret model output so as to either make better decisions, or respond more intelligently to the decisions of others. In summary, the course objective is to provide the student with the capability to use data and mathematical models to inform managerial decisions.

This course provides students with fundamental statistical tools in order to properly analyze information and data and to develop an analytical approach for understanding and solving complex business problems.

Recording and using of financial business transactions to inform and support decision-making.

Develop an understanding about targeting your message and flexing your style to your audience.

Analyzing of financial problems corporations face including managing exchange risk, calculating the cost of capital, capital budgeting and taxation.

Managing and participating effectively in teams by understanding the factors that lead to effective and ineffective team behavior.

Identifying and capitalizing on market opportunities.

Identifying and understanding how effectively managing operations contributes to customer value.

Key concepts and tools in the context of competitive strategy; differences between corporate, competitive, and functional strategies.

This course provides students with advanced statistical tools in order to properly analyze complex and large data and how to prepare and interpret visual representation of complex and large data.

This course focuses on data, a central and essential component of every information system. Providing the right data to the right decision-maker at the right time is critical. Too little data forces managers to rely on intuition and luck, while too much data can lead to cognitive overload.

The Simulation and Risk Analysis course introduces students to technologies and practices for simulation used to model complex systems. It covers modeling and risk assessment approaches with a focus on continuous and discrete event simulation. There will be a review of fundamentals on discrete and continuous systems modeling. The topics on statistical input and output data analysis, systems modeling using a simulation software, verification and validation issues will be covered as well. More advanced topics like Markov chain and time series using simulation will be discussed by case studies. Examples will be introduced from real applications. Throughout the course, Microsoft Excel and Simul 8 will be used as the main simulation tools.

Choose one elective from:

• Accounting, Governance & Risk
• Causal Inference
• Competing in and with China
• Data Driven Management
• Entrepreneurship & Growth
• Frontier Markets
• Global Corporate Finance
• Global Financial Markets
• Global Supply Chain Management
• Inequality and Business
• Leading Responsibly
• Macroeconomics for Managers
• Managing Risk in Organizations
• Predictive Analytics
• Pricing & Revenue Analytics
• Social Media Analytics and Digital Marketing
• Sustainability
• Systems Thinking
• Technology and Humanity

Electives are available for all MSc streams unless otherwise noted. Course offerings are subject to change and will vary by term.

The Ivey Business School teamed up with Deloitte, SAS, and Scotiabank to create a unique case competition called “Hack the Case” – a 10-day glimpse into the world of business analytics.

This course covers formulations, applications and theory of optimization. The students will learn how to model decision problems using linear, integer and nonlinear programming techniques, how to implement these models using modern software, and finally how to interpret the results and gain business and managerial insights.

Choose 3 electives from the list below:

• Accounting, Governance & Risk
• Causal Inference
• Competing in and with China
• Data Driven Management
• Data Management
• Entrepreneurship & Growth
• Frontier Markets
• Global Corporate Finance
• Global Financial Markets
• Global Supply Chain Management
• Inequality and Business
• Leading Responsibly
• Macroeconomics for Managers
• Managing Risk in Organizations
• Predictive Analytics
• Pricing & Revenue Analytics
• Social Media Analytics and Digital Marketing
• Sustainability
• Systems Thinking
• Technology and Humanity

Electives are available for all MSc streams unless otherwise noted. Course offerings are subject to change and will vary by term.