McMaster University Continuing Education
McMaster University Continuing Education
Hamilton, Ontario, Canada
Description

McMaster University Continuing Education (MCE) has inspired people to discover and achieve through lifelong learning since 1931. As one of Canada’s largest and leading providers of academic certificate and diploma programs, professional development education, and corporate training, MCE’s purpose is to develop and realize the potential of both individuals and society by providing the education to thrive in a dynamic world. Our team is approachable, professional, and passionate. We offer more than 200 courses and workshops that blend both theoretical knowledge and practical application to help you build your skills and expand your career. Areas of focus include Technology, Business, Accounting, Marketing, Health, Social Science, Mindfulness, and Human Resources.

Recent experiences

Data Analysis and Visualization - Fall 2025

DAT 104

Oct 18, 2025 - Dec 13, 2025

This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. The students learn how to perform exploration of data in order to discover meaningful information to solve problems, and will allow for the application of analytics life cycle in the context of planning to solve a business problem. Emphasis is placed on framing the problem, proposing an analytics solution, communicating with stakeholders, and establishing an analytics-focused project plan. Common data visualization tools and techniques are explored and used as students learn best practices for the presentation and communication of analytical solutions and insights.

Admin Guido DiCesare
Matches 0
Category Data analysis + 1
Open Closing on October 6, 2025

Artificial Intelligence for Business - Fall 25

DAT 105

Sep 21, 2025 - Nov 23, 2025

This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course presents the principles of artificial intelligence (AI) through an exploration of its history, capabilities, technologies, framework, and its future. AI applications in various industries will be reviewed through some case examples. Current trends in AI will be discussed and students will be encouraged to consider the potentials of AI to solve complex problems. This course will help students to understand the implications of AI for business strategy, as well as the economic and societal issues it raises

Admin Guido DiCesare
Matches 0
Category Data analysis + 3
Open Closing on September 15, 2025

Statistical Analysis for Data Science - F25

DAT 200

Sep 21, 2025 - Nov 23, 2025

This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course provides a foundation of exploring data through computing and statistical analysis. Focus is placed on the structure and applications of probability, statistics, computer simulation, and data analysis for students exploring the field of data science. This course builds upon introductory statistics courses and is designed for students with experience/study in programming, calculus, and algebra. Programming in R will be used throughout the course.

Admin Guido DiCesare
Matches 0
Category Sales strategy + 2
Open Closing on September 15, 2025

Data Analytics and Modelling - Fall 25

DAT 201

Sep 14, 2025 - Dec 6, 2025

This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session in which students will put "theory into practice" offering students a hands-on approach to learning the material.

Admin Guido DiCesare
Matches 0
Category Market research + 2
Open Closing on September 5, 2025

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