| | Computer Systems Technology - Database | | |
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| School | British Columbia Institute of Technology | | |
| Location | Burnaby, BC, Canada | | |
| School Type | College | | |
| School Size | Full-time Undergraduate: 18,147
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| Degree | Diploma | | |
| Honours | | | |
| Co-op | | | |
| Length | 2 Year(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | - Grade12 English
- Grade12 Principles of Mathematics or Grade12 Precalculus or Grade12 Applied Mathematics
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| Prerequisites Notes | Applicants must have: two years of education in English in an English-speaking country with one of the following: English 12 (67%) or 3.0 credits of post-secondary English, humanities or social sciences (67%) from a recognized institution; and one of the following: Principles of Mathematics 12 (67%) or Applications of Mathematics 12 (73%) or Pre-Calculus 12 (67%). Note: Foundations of Mathematics 12 is not acceptable. | | |
| Cost |
Cost shown is for the first year of study. | | |
| Scholarships | | | |
| Description | BCIT's Computer Systems Technology (CST) two-year diploma program combines computer systems theory with hands-on practical experience in software development. You'll learn software engineering and programming from industry professionals, and gain experience working on real projects, from concept to deployment. In second year, specialty options add depth and further hone your skills. The CST diploma is a widely-recognized credential that is highly regarded by employers. Graduates emerge with the well-rounded skills essential for a career analyzing, designing, and developing software solutions.
The Database option focuses on traditional relational and advanced database technologies, data analytics as well as big data storage and the use of data mining techniques from the fields of artificial intelligence and machine intelligence to gain insights into the data. It also covers modelling, data cleansing and integration, implementation, and access of data warehouse for corporate and financial data, as well as conducting business intelligence using OLAP analysis. In addition, students will learn how to work with cloud databases, develop data driven applications, provide web services for data consumption from web or mobile applications. The option builds on the students’ basic understanding of relational database management systems and SQL, and covers the use of advanced SQL features, data visualization, data analytics and data mining packages in R and Python, and how to manage big data using the Hadoop ecosystem.
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