Diploma (Dip.) Management: Internet Business Concentration

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Courses & Workshops

Corequisites
CEC2 532 Business Economics. (3 credits)
In-class, Part-time
Spring/Summer 2018, Fall 2018, Winter 2019, Spring/Summer 2019
Introductory micro and macro economic theory and practice in profit and non-profit organizations from a managerial perspective. Topics include: demand and supply analysis, production costs, firms' pricing and output determination, aggregate demand and supply, national income, output and employment determination, inflation, interest rate, exchange rate determination, fiscal and monetary policies.
CMS2 500 Mathematics for Management. (3 credits)
Spring/Summer 2018, Fall 2018, Winter 2019, Spring/Summer 2019
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
Required Courses
CACC 520 Accounting for Management. (3 credits)
Fall 2018, Winter 2019
This course covers financial and managerial accounting. The course provides an understanding of the various financial statements as well as cost behaviour, cost/volume/profit relationships, budgets, responsibility accounting and relevant costing.
CFIN 512 Corporate Finance. (3 credits)
Spring/Summer 2018, Winter 2019, Fall 2018, Spring/Summer 2019
Fundamental finance theory as applied to the firm's short and long-term financing and investment decisions and the sources of funds available to it (stocks, bonds, derivatives). Exposure to critical concepts of "firm value maximization" emphasizing capital budgeting, cost of capital, capital structure, derivatives, dividend policy, risk and return.
CMIS 530 Digital Analytics and Targeting. (3 credits)
Fall 2018
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)
Winter 2019
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)
Winter 2019
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 549 Digital Media and Search Engine Optimization. (3 credits)
Fall 2018
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.
CMR2 542 Marketing Principles and Applications. (3 credits)
Spring/Summer 2018, Fall 2018, Winter 2019
Covers the different aspects of marketing operations: the marketing concept, the analysis and research of market opportunities, the planning, implementation, and control of the marketing program (Product, Promotion, Distribution, and Pricing). The course focuses on Canadian market environment and Canadian marketing institutions. Lectures and case studies on an individual basis and/or involving team work will be used.
CMS2 521 Applied Management Statistics. (3 credits)
Spring/Summer 2018, Fall 2018, Winter 2019
Statistical methods used in a variety of business situations, emphasizing application and providing a working knowledge of the most widely-used techniques. Topics include descriptive statistics; probability distributions; sampling procedures and distributions; inferential statistics including estimation; hypothesis testing and Anova; simple linear, multiple regression and correlation; time series and forecasting.
CORG 551 Behaviour in Organizations. (3 credits)
Spring/Summer 2018, Fall 2018, Winter 2019
The implications for management and the essential concepts of social psychology such as motivation, perception, attitude change and organization. Group and organizational dynamics will be the major emphasis of the course. Classroom discussion and student participation is encouraged.
Complementary Course
CCS2 505 Programming for Data Science. (3 credits)
Fall 2018
Tools and techniques for designing and implementing software applications by using modern programming languages relevant to data science.
CCS2 510 Computer Network and Internet Security. (3 credits)
In-class, Part-time
Fall 2018
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.
CMIS 545 Cloud Computing Architecture. (3 credits)
Fall 2018
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 550 Fundamentals of Big Data. (3 credits)
Winter 2019
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)
Fall 2018
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)
Winter 2019
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.
Testimonial
The Strategic Internet Marketing and Web Analytics courses provided me with the foundation I needed to help with search engine optimization and online marketing. When clients hear that I did my studies at McGill, they’re pretty confident I can handle the job, and that it will be done well.
Madeleine D.

Contacts

Career and Professional Development
Phone: +1 514-398-6200
Fax: +1 514-398-3108
688 Sherbrooke Street West, Suite 1140 Montreal, Quebec, Canada H3A 3R1
Hours of Operation

Monday to Friday
9:00 a.m. to 5:00 p.m.