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Duration

12 months

Tuition

$4,685

  Toronto

Sep 2-Sep 2

Plus 1 other start dates

Jan 5 - Jan 5 2027

Commitment

Full-Time

Delivery

Classroom

Credential

Certificate

Year Founded

1967

Scholarships

no

The Strategic Relationship Marketing graduate certificate program in Toronto provides students with the foundational knowledge and applied skills that employers value in the area of marketing, with a focus on Customer Relationship Marketing (CRM) and Customer Experience (CX) strategies and techniques.

Key areas covered in the program include database marketing strategy, loyalty marketing, marketing research, omnichannel marketing, marketing automation of email, social media and online content for personalized customer journeys, and marketing analytics and measurement. In the final semester, students work on a capstone project based on a real business situation.

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Next Cohort: Sep 2-Sep 2

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Student Reviews (13)

Write a Review

George Brown

Amazing college

Priyanka Mehta

Etobicoke • September 17, 2024

Graduated From

Machine Learning 1

Overall:

5 out of 5

Instructors:

4 stars

Curriculum:

4 stars

Job Assistance:

3 stars

Superb

Superb

George Brown

My experience at George Brown College

Anonymous

Toronto • September 17, 2024

Graduated From

Information Systems Business Analysis Program

Overall:

3 out of 5

Instructors:

2 stars

Curriculum:

3 stars

Job Assistance:

1 stars

I enrolled in the Analytics for Business Decision Making course at George Brown College in 2021, hoping to gain the skills necessary to thrive in the rapidly growing field of data analytics. While the course provided a foundational understanding of dat...

I enrolled in the Analytics for Business Decision Making course at George Brown College in 2021, hoping to gain the skills necessary to thrive in the rapidly growing field of data analytics. While the course provided a foundational understanding of data analysis and business decision-making, I found the content to be somewhat lacking in depth and relevance to the current job market.

The course covered basic concepts in data analytics, including data processing, statistical analysis, and data visualization. It also introduced tools like Excel and SQL, which are essential for any data analyst. However, the curriculum felt outdated and did not delve deeply into more advanced and industry-relevant tools and techniques such as Python, R, or machine learning algorithms, which are highly sought after by employers today.

While there were some hands-on projects, they were often simplistic and did not simulate real-world business problems effectively. The lack of exposure to complex, real-life datasets and scenarios meant that the practical skills gained were not useful at all.

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