curriculum of the Advanced Analytics Program
Keywords: hands-on learning, experiential learning, creativity, artificial intelligence, machine learning, data science for business, research lab, national and international visits
The curriculum consists of courses taught by the professors from University of Montréal, HEC Montreal Business School and Polytechnique Montreal, with the primary goal of designing a data agile company, the program is structured with three audiences in mind.
C-Suite level: Add powerful, data-driven insights and prediction capabilities to your business. Scale AI and accelerate time-to-value with a platform that grows with your business using the team and skills already present within your organization.
Managers: Boost your productivity. Solve complex business problems thanks to advanced AI and machine learning regardless of your technical know-how.
AI / Analytics teams. Bring your AI projects to production faster and spend more time on the critical strategic assets. Leverage state-of-the-art, end-to-end automation, an extensive library of AI algorithms, and the ability to quickly deploy machine learning models.
The program’s goals are to create a new generation of decision-driven data analysts. To move to a decision-driven data analytics approach, a company must start by identifying the business’s key decisions and the people who make them, and finding data for a purpose rather than finding a purpose for the data at hand. This program is structured to create decision-oriented talents.
We believe people in a decision position need to have deep understanding of the digital transformation. Their technological literacy is of the utmost importance to identify the pressure points within an organization to succeed this strategical transformation.
The goal of this program is to equip people in a decision position with the right understanding of the strategic opportunities of the data transformation as well as identify the organization path to success.
Based upon our own dedicated technological platform, the Advanced Analytics Program is built around:
Capstone experiences
An AI incubator
A research lab in Data Science for Business
The course Digital Transformation Strategy serves as an introduction to better understand the uses of AI and analytics in a business context. It explains why data-based and data-driven strategies will be a core part of a growth strategy for 21st-century businesses. Going through this course, managers will develop a technological literacy that will help them understand a change in a business model as well as put them in a better position to explain the changes.
The course Creating a Culture of Corporate Explorers aims to help managers identify the new directions and provide them with the frameworks to design the efficient path to success. The frameworks will also help them identify the challenges and the potential tensions that would derail a transformation project. In this context, managers will develop literacy about the transformation of work.
The course Statistics for Machine Learning is an introduction to using statistical approaches to solve business problems. We discuss the statistics needed to understand and interpret machine learning models in a business context.
The course Coding and Data Science is an introduction to the ways to think about a business problem while using a functional programming approach. Nowadays, executives and managers need to be conversant with programming and data science. The aim of this course is to provide participants with the right level of literacy about the organizational changes that data science brings to a firm.
The course Operations and Supply Chain Management emphasizes managing product availability in a context of rapid product proliferation, short product life cycles, and global networks of suppliers and customers. Data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. In this course, we cover inventory management, distribution economics, demand forecasting, and supplier management in the context of data science.
The course People Analytics is designed to help participants use the data to improve people-related decisions. Participants will build hands-on skills to analyze data in ways that complement the frameworks and intuitions they would normally use to guide their managerial actions on people issues. This specialty course will help managers from Human Resources and also from other departments develop some literacy about the introduction of data science in human resources management.
The course Data Marketing and Recommender systems examine the ways in which marketing has changed. Data analytics has revolutionized marketing. This discipline was more qualitative and instinct-driven business function, marketing has now become a data-driven profession that relies on quantitative insights on how to best optimize ad creation and placement and influence consumer purchase behaviors. this specialty course will help managers from Marketing and also from other departments develop some literacy about the introduction of data science in our daily lives as consumers.
The course Leadership and Digital Transformation is about preparing students to the challenges and opportunities of the digital transformation of organizations. We will leverage case studies and real-world examples of alignment and misalignment in organizations, being private or public organizations. It will also bring some important frameworks to keep in mind to lead teams that are essential for the the success of an organization’s digital transformation.
The course Data Science Pipeline and the Data Agile Company take a holistic approach to help participants understand the entire process that allows a company to become a data-driven company and what it takes. From data collection to analysis to prediction and insights.
Consulting Project = Practicum
Ecosystems’ visits in Montreal, Toronto, Vancouver, New York, Boston, Silicon Valley.
Students are enrolled in a digital transformation project in a company.
The incubator aims at fostering the entrepreneurial spirit among the students cohorts. Every student will be able to apply directly the new skills in Machine Learning and Data Science and design a business model.
We indeed believe that the exposure to this new knowledge will trigger an incredible level of creativity among our students, and we want to support and accompany right from the start all these burgeoning ideas leveraging Artificial Intelligence to solve actual business problems.
The research lab, integrated with the courses and the incubator, will feed the students with the latest developments in Data Science for Business.
The lab leverages the power of our technological platform for its own research and for our students.
Upon completion of the Advanced Analytics Program, you will be prepared to:
identify strategies and operational changes needed to integrate data analytics
provide examples of digital transformation strategies
reflect on current business processes to become a data-oriented organization