Computer Programming - Data Management

Data comes from varied data sources within an organization, and integrating this varied data utilizing Data Warehousing techniques will be the focus of the course. Students will apply data warehousing concepts, including extract, transform, and load (ETL), to enable an organization to effectively consolidate data from different sources.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1936
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

Data analysis and visualization within a corporate environment provides an effective means to inform and drive proactive business decisions. Students in this course will explore data by reviewing core principles of data visualization and dashboarding by effectively utilizing modern software techniques as it relates to UI design elements.

• Hours: 56
• Credits: 4
• Pre-Requisites:
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

The Data Management project course integrates the use of appropriate tools and technical skills learned in previous semesters. The course encourages individual and teamwork in small groups on a project relevant to the program. Students will incorporate critical thinking, problem-solving, and communication skills to generate an effective data management system

• Hours: 84
• Credits: 6
• Pre-Requisites:
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course introduces foundational topics in data science. It gives the student an opportunity to practice techniques in collecting, cleaning, storing, and analysing data for use in effective business decision-making. Students will use popular software tools to follow basic data science practices to transform data into actionable insights.

• Hours: 56
• Credits: 4
• Pre-Requisites: PROG2520 AND STAT1030
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course covers cloud data management principles, technologies, and best practices. In this course, students will gain comprehensive knowledge and practical skills necessary for managing data in cloud environments effectively.

Students will learn how to effectively manage, store, and analyze data in cloud computing environments. They will learn about the different storage (object, block, file storage) and their use cases. Students will learn to design and deploy cloud-based systems that are scalable, secure, and capable of handling diverse data workloads, from structured relational data to unstructured big data. Topics covered include cloud storage options, data security, data migration, and data governance in cloud environments.

• Hours: 42
• Credits: 3
• Pre-Requisites:
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.