Course Overview
Continuing on from COMP 1630 , this hands-on course is aimed at students who already understand relational database, data modeling, and the importance of improving Data Quality (DQ). COMP 3839 starts by exploring the strategic goals and business value of establishing baselines for Data Quality improvement. Key topics include the business impact of data quality, data profiling techniques, Capability and Maturity models, plus Data Quality improvement roadmaps. Stra tegies for securing executive support, Data Contracts and Data Mesh, and Data Observability practices will also be discussed. Labs, exercises, assignments, and a project emphasize how to prioritize, plan, and execute data cleaning efforts, using both traditional techniques and AI tools to assess and enhance data quality. Data Quality supports for Data Engineering and Data Governance approaches will be introduced. Homework assignments and a project focus on how to use DQ techniques with AI to measure data quality. COMP 3839 is a required course in the Applied Database Administration and Design (ADAD) Associate Certificate; the Applied Data Analytics Certificate (ADAC) and an elective in the Computer Systems Technology (CST FLEX) Diploma. Successful participants learn how to apply a data quality framework to data migration projects and are better prepared to move on to higher-level data modelling, business intelligence and data analytics courses.
Prerequisite(s)
- 60% in COMP 1630
Credits
1.5
Registration requirements
Departmental approval is required to register for this course. You must have approval from the department to register. Students accepted into a program can register directly.
Domestic fees
$451.09
International fees are typically 3.4 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Define the business value and strategic goals of Data Quality improvement initiatives.
- Measure Data Quality using data profiling to establish clear baselines for improvement.
- Prioritize Data Quality issues that impact critical business processes and KPIs.
- Develop actionable plans to address and resolve identified Data Quality issues using AI.
- Integrate Data Quality improvements into data management projects using Data Observability practices and AI tools.
- Evaluate and communicate the impact of improved Data Quality on decision-making, reporting, and business performance.
Effective as of Winter 2026
Related Programs
Data Quality Improvement (COMP 3839) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
- Applied Database Administration and Design
Associate Certificate Part-time
- Computer Systems
Diploma Part-time
Course Offerings
Fall 2026
Below is one offering of COMP 3839 for the Fall 2026 term.
CRN 43219
Dates
Sep 18 - Oct 23 Loading
- CRN 43219
- $451.09 Domestic fees
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Sep 18 - Oct 23 | Fri | 18:00 - 21:00 | Downtown DTC Rm. 310 |
Duration
6 weeks
Instructor
Patricia Moura
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours on campus. BCIT Computing is primarily a Microsoft Windows environment. Students must provide their own current model Windows-compatible PC with microphone and video camera. i5 or higher equivalent processor, with 8 GB of RAM minimum, and 256 GB minimum storage. Highspeed internet access is needed for online sections and for homework. Mac users must have the ability to manage and support their iOS computer. They may need to create a virtual Windows environment using Parallels or VMWare Fusion. COMP instructors may not be able to assist Mac users with software compatibility issues. BCIT does not provide access to Parallels or support for students to use a Mac to run Windows. Late registration is not permitted. The start and end dates have changed from September 11 – October 16 to September 18 – October 23.
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
No approval yet? Request approval You must have approval from the department to register. Students accepted into a program can register directly.
Status
If you have any questions about this course, please contact us.
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.