Google Code for Remarketing Tag - Bloom
À propos de ce programme
Credit
Lancez votre carrière dans le monde florissant du commerce en ligne. En acquérant une formation complète en programmation informatique et en marketing numérique, vous démontrez aux employeurs que vous possédez ce qu’il faut pour obtenir d’excellents résultats dans le marché en ligne actuel.
Le programme est conçu pour vous permettre de :
- créer des sites Internet avec un contenu dynamique;
- concevoir, élaborer, réaliser et lancer un projet professionnel sur Internet;
- concevoir des applications logicielles;
- élaborer un plan de marketing numérique;
- quantifier et analyser des campagnes de marketing numérique;
- comprendre la recherche payée, l’optimisation des moteurs de recherche et la promotion en ligne;
- optimiser l’expérience du consommateur sur une plateforme numérique.
Les participants doivent détenir un baccalauréat d’une université reconnue obtenu dans une université reconnue avec une moyenne pondérée cumulative minimale de 3,0/4,0 ou 3,2/4,0 au cours des deux dernières années d’études universitaires à temps plein.
Le candidat aux programmes Développement de carrière et perfectionnement professionnel des 2e ou 3e cycles doit être compétent en anglais.
Courses & Workshops
Cours associés
CMS2 500 Mathematics for Management.
(3 credits)
Hiver 2019, Printemps/Été 2019, 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)
Automne 2019
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)
Automne 2019
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)
Hiver 2019, Hiver 2020
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)
Hiver 2019, Hiver 2020
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)
Automne 2019
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)
Automne 2019
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)
Hiver 2019, Hiver 2020
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)
Automne 2019
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)
Hiver 2019, Hiver 2020
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.
Contacts
Développement de carrière et perfectionnement professionnel
Tél.: +1 514-398-6200
Fax: +1 514-398-3108
688, rue Sherbrooke Ouest, bureau 1140
Montréal, Québec, Canada H3A 3R1
Horaires d'ouverture
Du lundi au vendredi
de 9 h à 17 h
