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MSc in Management
Business Analytics

Ivey's MSc in Management: Business Analytics develops data driven business decision making skills through in class discussion and real-world experiences. Begins in September.

Submit your resumé or LinkedIn profile

Download a Brochure

MSc in Management
Business Analytics

Ivey's MSc in Management: Business Analytics develops data driven business decision making skills through in class discussion and real-world experiences. Begins in September.

Submit your resumé or LinkedIn profile

Download a Brochure

MSc in Management
Business Analytics

Ivey's MSc in Management: Business Analytics develops data driven business decision making skills through in class discussion and real-world experiences. Begins in September.

Submit your resumé or LinkedIn profile

Download a Brochure

MSc in Management
Business Analytics

Ivey's MSc in Management: Business Analytics develops data-driven business decision-making skills through in-class discussion and real-world experiences. Our 16-month program begins in September.

Submit your resumé or LinkedIn profile

Download a Brochure

MSc Business Analytics Class of 2024 Profile

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MSc Business Analytics Class of 2024 Profile

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Develop data driven business decision making skills. 

In the Business Analytics field, you will develop the skills and capabilities needed to take today's growing wealth of real-world data and translate it into actionable insights for business decision-making. 

These insights will generate new opportunities for growth and ready businesses for shifts in market dynamics. Build on your undergraduate degree experience and set yourself apart with Ivey's MSc in Management: Business Analytics.

Year at a Glance

Strong Foundation

The core subjects of the Ivey MSc in Management are intended to strengthen your business knowledge. We’ll spend the first six months building this foundation.

Term 1 - September to December

Core Courses

Art of Modeling
Business Statistics
Accounting
Business Communications
Finance
Leadership/Organizational Behaviour
Marketing
Operations
Strategy

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.

Core Courses

Art of Modeling

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.

Business Statistics

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.

Accounting

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

Business Communications

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

Finance

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

Leadership/Organizational Behaviour

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

Marketing

Identifying and capitalizing on market opportunities.

Operations

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

Strategy

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


Term 2 - January to April

Core Courses and Elective Courses

Big Data Analytics
Simulation and Risk Analysis
Elective Courses
Hack the Case Competition

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.

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.

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.

Hack the Case Business Analytics Competition

 

Core Courses and Elective Courses

Big Data Analytics

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.

Simulation and Risk Analysis

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.

Hack the Case Competition

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.

Hack the Case Business Analytics Competition

 

Term 3 - May to August

Ivey Analytics Internship

Exclusively offered to MSc in Management: Business Analytics students during the third term of the program, Ivey Analytics Internship (IAI) is a 10-16 week work integrated learning experience. Throughout this mandatory full-time internship experience, student hone their skills through either an analytics driven research project or through an analytics-driven industry internship experience. 

Ivey has one of the largest and most qualified Career Management departments in North America. As a critical component of core curriculum, tactical Career Management courses are built directly into the first term of the program. As an Ivey MSc in Management student, you gain access to resources and support to help you explore diverse career options and develop a personalized career strategy. In addition, the Career Management team helps to foster and maintain relationships with many of Ivey’s corporate partners who recruit top talent for their summer intern hiring needs. The Career Management team strives to support each student in securing an internship experience that aligns with their career goals while meeting the established learning outcomes of the Ivey Analytics Internship.

The Ivey Analytics Internship is designed to give students industry knowledge, marketable skills, interpersonal and collaborative abilities and build professional networks to launch their careers and excel in the field of advanced analytics.

Term 4 - September to December

Core Courses and Elective Courses

Prescriptive Analytics and Optimization
Elective Courses

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.

Core Courses and Elective Courses

Prescriptive Analytics and Optimization

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.

NHH Dual Degree

The MSc-NHH allows you to split your time studying at Ivey and at the Norwegian School of Economics (NHH) in Bergen, Norway. At the end of the MSc-NHH experience, you graduate with an MSc in Business Analytics from Ivey, and a second masters degree from NHH, MS in Economics and Business Administration, major in Business Analytics (BAN).

The NHH portion of your MSc in Management experience includes a mandatory research-based thesis. The MSc-NHH stream is an excellent option for students who do wish to gain valuable international experience while studying and living abroad. In this option, you will spend Terms 4 plus an additional term 5 studying at NHH.

Life As Msc Student Lg
Ivey Alumni Empower Others To Advance Global Sustainability Efforts

Ivey MSc Graduate Diploma in Business and Sustainability

The Ivey MSc in Management Graduate Diploma in Business and Sustainability responds to seismic changes currently underway that are rapidly transforming the importance of sustainability for business. Sustainability and social responsibility now need to be at the core of an organization’s strategy and value creation model, and fully integrated across all elements of the organization and its supply chain. These changes fundamentally expand the knowledge and skills required for future leaders to succeed. The diploma focuses not only on building technical skills linked to the market demand, but also encouraging the development of broader perspectives of sustainability as a holistic systems agenda incorporating environmental, social, and economic dimensions.

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