Post-Secondary Diploma in Data Engineering and Analytics with Co-op Global University Systems (GUS) - Canadian College of Technology and Business (CCTB), Canada

The Data Engineering and Analytics with Co-op program was meticulously crafted to offer a comprehensive curriculum that seamlessly blends theoretical foundations with practical applications, ensuring students are well-equipped for dynamic careers in data engineering and analytics.

The program covers a broad spectrum of topics, including relational database systems, data structures, statistical analysis and machine learning, providing students with a deep understanding of foundational concepts and techniques. Additionally, students delve into specialized areas such as business analysis, system design and advanced statistical analysis, enhancing their analytical and problem-solving skills.

Moreover, the program exposes students to cutting-edge technologies and methodologies essential for modern data professionals. Students learn about data warehousing, enabling them to design and manage large-scale data repositories effectively. They also acquire skills in visual analysis for business intelligence, enabling them to create compelling data visualizations that drive informed decision-making. Furthermore, students gain practical experience with Microsoft SQL Server tools, including Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS), preparing them for diverse roles in data integration, analysis and reporting.

The program also covers key concepts in big data, cloud computing and data mining, providing students with the knowledge and skills needed to work with large and complex datasets efficiently. Additionally, students explore data security and privacy issues, ensuring they understand the importance of safeguarding data and comply with relevant regulations and best practices.

Program Benefits
The Data Engineering and Analytics with Co-op program prepares students for careers in data engineering and analytics through a comprehensive curriculum covering key topics such as relational database systems, statistical analysis and machine learning. Students gain practical experience with technologies like data warehousing and visual analysis, ensuring they are well-equipped for diverse roles in the industry.

Work Experience
The co-op work experience component constitutes half of the program's entirety, totaling 900 hours. This segment offers you the chance to put into practice the skills you've recently acquired in a real-world setting within the industry, all while benefiting from a guaranteed paid work opportunity.