Technical Data Analytics (Co-op)

Program Overview

The Technical Data Analytics (Co-op) program at Fanshawe College is a comprehensive two-year post-graduate program designed to equip students with essential skills in data analysis. This program emphasizes both foundational and advanced technical skills, focusing on IT infrastructure, high-performance computing, and enterprise-level data management. Students will gain proficiency in programming languages such as Python, R, and SQL, along with advanced database design concepts tailored for large-scale data operations. The curriculum also includes exploration of big data technologies, machine learning, and AI applications, providing hands-on training in a dedicated server environment that supports large-scale data processing, predictive modeling, statistical analysis, and data visualization.

Program Structure

The Technical Data Analytics (Co-op) program is structured to provide a robust learning experience over a 45-week duration. The program is offered full-time and includes the following key features:

• Hands-on training in a high-end dedicated server environment.
• Integration of machine learning and AI applications into the coursework.
• A paid co-op work term for practical experience in the field.
• Focus on enterprise-grade data warehousing and data lake architectures.
• Real-time and batch-processing scenarios for working with structured and unstructured data.

This program is designed to ensure that graduates are well-prepared for mission-critical IT and data analysis roles, making them competitive in the job market.

Featured Experiences

The Technical Data Analytics (Co-op) program offers several unique experiences that enhance the learning journey:

• Paid co-op work term providing valuable hands-on learning experience.
• Access to advanced technologies for big data analytics and predictive modeling.
• Training in ETL (Extract, Transform, Load) processes and data integration.
• Opportunities to work with both structured and unstructured data in real-time scenarios.
• Focus on statistical analysis and data visualization techniques.

Career Options

Graduates of the Technical Data Analytics program can look forward to a variety of career opportunities in Canada, including:

• Data Scientist: Utilizes advanced analytics technologies to identify trends and provide automated recommendations from unstructured data sources.
• Data Analyst: Designs and administers data management solutions, implementing data administration policies and standards.
• Business Intelligence Analyst: Gathers and analyzes data related to sales revenue, market information, and consumer engagement metrics.
• Data Engineer: Develops and maintains data pipelines and architectures, ensuring data is accessible and usable for analysis.
• Machine Learning Engineer: Designs and implements machine learning models to solve complex business problems and improve decision-making processes.

These roles are critical in the growing field of information technology, providing graduates with the skills needed to thrive in a data-driven world.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.