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Program Requirements

Required Courses (12 credits)

• CMIS 530 Digital Analytics and Targeting (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Fall 2022

  Instructors: Harrisson-Boudreau, Jean-Philippe (Fall)

• CMIS 543 Digital Customer Experience (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Winter 2023

  Instructors: Harrisson-Boudreau, Jean-Philippe (Winter)

• CMIS 544 Digital Marketing Automation, Planning and Technology (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Winter 2023

  Instructors: Mottaghi, Hoda (Winter)

• CMIS 549 Digital Media and Search Engine Optimization (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Fall 2022

  Instructors: Harrisson-Boudreau, Jean-Philippe (Fall)

Complementary Course (3 credits)

3 credits from:

• CCS2 505 Programming for Data Science (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Computer Science (CCE) : Tools and techniques for designing and implementing software applications by using modern programming languages relevant to data science.

  Terms: Fall 2022

  Instructors: Tajeuna, Etienne (Fall)

• CCS2 510 Computer Network and Internet Security (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Computer Science (CCE) : Basic principles, design and performance of computer networks. Theory and technology, including network security models, cryptography protocols and standards, network security threats and types of attacks, security counter-measure strategies and tools, firewalls, access control and platform-specific security issues.

  Terms: This course is not scheduled for the 2022-2023 academic year.

  Instructors: There are no professors associated with this course for the 2022-2023 academic year.

• CMIS 545 Cloud Computing Architecture (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Fall 2022

  Instructors: Havas, Michael (Fall)

• CMIS 550 Fundamentals of Big Data (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Information Systems : 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: Winter 2023

  Instructors: Havas, Michael (Winter)

• CMS2 505 Quantitative Analysis Tools in Decision Making (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Science (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: Fall 2022

  Instructors: Kahyaoglu, Yasemin (Fall)

  • Corequisite: CMS2 500

• CMS2 527 Business Intelligence and Analytics (3 credits)

  Offered by: Technology & Innovation (School of Continuing Studies)

  Overview

  Management Science (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: Winter 2023

  Instructors: Blier, Hugue (Winter)

  • Prerequisite(s): CMS2 500