Learning Outcomes

You will develop stronger analytical, decision-making, and implementation skills by applying data analysis to business decision-making. This new way of thinking will become integral to everything you do. These abilities are applicable right away, providing immediate benefits to your career and your organization.

• Learn to approach business decisions in a logical, quantitative, and systematic way.
• Build and deploy innovation-centric and empathic design strategies using data and mathematic models.
• Apply appropriate quantitative and analytical methods from the field of analytics to analyze information, analyze complex and large data sets, and develop predictive and prescriptive models.
• Assess where AI and machine learning can support a business decision, evaluate the reliability and limitations of their outputs, and decide where human judgment is needed.
• Gain experience with programming, modelling and visualization tools such as R, Python and SQL, and learn how to evaluate emerging AI tools for business use.
• Learn basic computer programming to manipulate data and construct models.
• Identify a problem and formulate a conceptual model to represent the problem.
• Understand large-scale applications of analytics across a wide variety of industries.
• Integrate material from field courses with skills gained in other courses to address enterprise-wide opportunities.
• Present results in technical and non-technical terms to different stakeholders.
• Develop teamwork, critical thinking, communication, and analytical skills.

The Master of Management: Analytics curriculum consists of 19 courses across three terms. The careful sequencing of the individual classes, courses, and term themes are designed to build on one another to deliver a powerful and unique learning experience.