Nota : Ceci est la version 2019–2020 de l'annuaire électronique. Veuillez mettre à jour l'année dans la barre d'adresse de votre navigateur pour une version plus récente de cette page, ou .
Program Requirements
Ce programme portant les principes de base des médias numériques, de l’analytique numérique et des techniques issues de la science des données a pour but de préparer les étudiants à des carrières en analytique numérique, en intelligence d’affaires et en analytique des données, des domaines de plus en plus recherchés, compte tenu de l’importance accrue qu’ils revêtent. L’objectif du programme est d’enseigner comment utiliser les données pour améliorer les médias numériques, prévoir les tendances à venir, transformer l’expérience client, accroître la productivité et éclairer la prise de décision d’affaires. Les étudiants pourront ainsi acquérir une capacité d’analyse en profondeur, qui est essentielle dans le monde des affaires d’aujourd’hui.
Cours associés (3 unités)
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CMS2 500 Mathematics for Management (3 unités)
Vue d'ensemble
Sciences de la gestion (CCE) : 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
Terms: Automne 2019, Hiver 2020, Été 2020
Instructors: Golovina, Galina (Fall) Kelome, Djivede (Winter) Abdenbi, Brahim (Summer)
Prerequisite: CMSC 000
Note: "Mathematics for Management" must be completed in the first semester of the Diploma in Management program.
Cours obligatoires (30 unités)
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CCS2 505 Programming for Data Science
(3 unités)
Vue d'ensemble
Informatique (CCE) : Tools and techniques for designing and implementing software applications by using modern programming languages relevant to data science.
Terms: Automne 2019
Instructors: Yu, Tzu-Yang (Fall)
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CMIS 530 Digital Analytics and Targeting (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Automne 2019
Instructors: Harrisson-Boudreau, Jean-Philippe (Fall)
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CMIS 543 Digital Customer Experience (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Hiver 2020
Instructors: Mottaghi, Hoda (Winter)
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CMIS 544 Digital Marketing Automation, Planning and Technology (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Hiver 2020
Instructors: Muscott, Adam (Winter)
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CMIS 545 Cloud Computing Architecture (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Automne 2019
Instructors: Havas, Michael (Fall)
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CMIS 549 Digital Media and Search Engine Optimization (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Automne 2019
Instructors: Harrisson-Boudreau, Jean-Philippe (Fall)
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CMIS 550 Fundamentals of Big Data (3 unités)
Vue d'ensemble
Gestion des systèmes d'information : 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.
Terms: Hiver 2020
Instructors: Havas, Michael (Winter)
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CMS2 505 Quantitative Analysis Tools in Decision Making (3 unités)
Vue d'ensemble
Sciences de la gestion (CCE) : 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.
Terms: Automne 2019
Instructors: Troy, Philip (Fall)
Corequisite: CMS2 500
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CMS2 527 Business Intelligence and Analytics (3 unités)
Vue d'ensemble
Sciences de la gestion (CCE) : 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.
Terms: Hiver 2020
Instructors: Troy, Philip (Winter)
Prerequisite(s): CMS2 500
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CMS2 529 Introduction to Data Analytics (3 unités)
Vue d'ensemble
Sciences de la gestion (CCE) : 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.
Terms: This course is not scheduled for the 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
Prerequisite: CMS2 500
