Data Engineering and Analytics with Co-op
Course Overview
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.
Course Structure
Course Previews
- Information Systems Management
- Introduction to Linux Systems Administration
- Relational Database Systems and SQL
- Introduction to Data Structure, Design and Analysis
- Business Analysis and System Design
- Probability and Statistics Fundamentals
- Statistics for Data Analysis
- Applied Multivariate Statistical Analysis
- Machine Learning
- Data Warehouse (EDW) Concepts
- Visual Analysis for Business Intelligence (BI) with Tableau
- Business Intelligence (BI) with SSIS, SSAS and SSRS
- Advanced Topics in Data Analysis: Big Data, Data Mining and Cloud Computing
- Security and Privacy Issues in Data Analytics
- Employment Preparation Training
Entry Requirement
| Admission Requirements | |
|---|---|
| Minimum Age to Apply | The applicant must be a minimum of 19 years old OR have a high school diploma or equivalent from an approved government institution in the applicant’s home country. |
| Language Requirement | |
|---|---|
| IELTS Score (Minimum) | Good command of the English language, with an IELTS score of 5.5 or an equivalent qualification. |
Career Opportunities
Studying in the Data Engineering and Analytics with Co-op program will provide you with the skills for many different roles. Some roles you could consider after you finish the program include:
NOCs: 21223
- Data administrator
- Database administrator
- Database analyst
- Database architect
- Data mining analyst
- Database designer
- Database management supervisor
- Technical architect
- Data miner
- Electronic data processing systems analyst