Nota : Ceci est la version 2019鈥�2020 de l'annuaire 茅lectronique. Veuillez mettre 脿 jour l'ann茅e dans la barre d'adresse de votre navigateur pour une version plus r茅cente de cette page, ou .
Program Requirements
Ce programme portant les principes de base des m茅dias num茅riques, de l鈥檃nalytique num茅rique et des techniques issues de la science des donn茅es a pour but de pr茅parer les 茅tudiants 脿 des carri猫res en analytique num茅rique, en intelligence d鈥檃ffaires et en analytique des donn茅es, des domaines de plus en plus recherch茅s, compte tenu de l鈥檌mportance accrue qu鈥檌ls rev锚tent. L鈥檕bjectif du programme est d鈥檈nseigner comment utiliser les donn茅es pour am茅liorer les m茅dias num茅riques, pr茅voir les tendances 脿 venir, transformer l鈥檈xp茅rience client, accro卯tre la productivit茅 et 茅clairer la prise de d茅cision d鈥檃ffaires. Les 茅tudiants pourront ainsi acqu茅rir une capacit茅 d鈥檃nalyse en profondeur, qui est essentielle dans le monde des affaires d鈥檃ujourd鈥檋ui.
Cours associ茅s (3 unit茅s)
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CMS2 500 Mathematics for Management (3 unit茅s)
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, 脡t茅 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 unit茅s)
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CCS2 505 Programming for Data Science
(3 unit茅s)
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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes 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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes 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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes 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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes 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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes 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 unit茅s)
Vue d'ensemble
Gestion des syst猫mes d'information : Investigates big data鈥檚 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 unit茅s)
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 unit茅s)
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鈥檚 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 unit茅s)
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
