Nous sommes très heureux de vous annoncer qu’à compter de l’automne 2023, l’École d’éducation permanente de McGill proposera une version actualisée de ses programmes de cycles supérieurs dans un format plus flexible. Une fois approuvés par l’Université, ces programmes novateurs remplaceront nos programmes diplômants actuels.

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Diplôme d’analyse digitale et intelligence d'affaires

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Courses & Workshops

Cours associés
CMS2 500 Mathematics for Management. (3 credits)
Automne 2019, Hiver 2020, Printemps/Été 2020
Basic mathematics needed for business applications, including graphs of functions, series summation, mathematics of finance, annuity, discounted cash flow, internal rate of return, permutations, combinations, maxima and minima of functions with business applications in optimization, introductory statistics and probability
Cours obligatoires
CCS2 505 Programming for Data Science. (3 credits)
Tools and techniques for designing and implementing software applications by using modern programming languages relevant to data science.
CMIS 530 Digital Analytics and Targeting. (3 credits)
Covers fundamental techniques in measuring and analysing the digital marketing experience success and effectiveness as well as using audience data to improve advertising and content using targeting and experiments. How to measure, analyze, and act upon the evolving internet technologies and trends.
CMIS 543 Digital Customer Experience. (3 credits)
Covers the fundamental techniques for understanding, analyzing and optimizing customer experience on digital platforms. Explores best practices in designing and optimizing conversion actions in an online business. Management of customer data and confidentiality.
CMIS 544 Digital Marketing Automation, Planning and Technology. (3 credits)
Covers the fundamental concepts needed to develop a digital marketing plan. Enables students to gain an understanding of market behaviour, translation of corporate goals into digital marketing objectives, basic overview of various strategic approaches to align to objectives, as well as implementation and control.
CMIS 545 Cloud Computing Architecture. (3 credits)
Covers different cloud infrastructures and architectures in the context of deployed cloud computing systems that are appropriate for different businesses. Enables students to use key business metrics to make decisions on the suitability of applications for cloud deployment.
CMIS 549 Digital Media and Search Engine Optimization. (3 credits)
Covers the fundamentals of promoting a brand through digital mediums and how to take advantage of earned digital media. Provides an understanding of how paid search, search engine optimization, various forms of digital media planning and placement, social media promotion work and, how to monitor and optimize performance.
CMIS 550 Fundamentals of Big Data. (3 credits)
Investigates big data’s enabling technologies; compares big data to traditional data models; and explores how big data enables applications such as data mining and deep learning.
CMS2 505 Quantitative Analysis Tools in Decision Making. (3 credits)
This course provides applications-oriented operations research modeling tools, such as: linear programming, integer programming, network modeling, and queuing theory. Use of spreadsheet/modeling software is an integral part of this course.
CMS2 527 Business Intelligence and Analytics. (3 credits)
This course provides a managerial and technical focus on computational and business techniques which can help to identify new business opportunities and transform an organization’s future by optimizing operational and strategic decision making.
CMS2 529 Introduction to Data Analytics. (3 credits)
Focuses on executing statistical methods on data sets for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results in support of business decision making.


Développement de carrière et perfectionnement professionnel
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