Applied Data Analytics, Certificate, Part-time

Program Overview

The Applied Data Analytics Certificate from BCIT Computing equips students with a strong mathematical foundation to build and manage data analytics systems. Through a combination of required and elective courses, students learn data modeling, mining, and visualization techniques, as well as IT tools for business intelligence and visual analytics. The program emphasizes best practices for data analysis and system design, enabling graduates to make informed decisions based on data-driven insights.

Program Outline

Degree Overview:

The Applied Data Analytics Certificate (ADAC) from BCIT Computing is aimed at students with strong mathematics backgrounds. It provides the technical foundations to build and manage data analytics systems. Students learn best practices to model and mine data, how to use IT tools for Business Intelligence (BI), and Visual Analytics to create data systems with dashboards that help in quicker decision making.

Outline:

Tier 1 Required Courses (12.5 credits)

• COMP 1630 - Relational Database Design and SQL
• COMP 2364 - Microsoft Excel
• COMP 2454 - Python Fundamentals for Data Analysis
• MATH 1060 - Statistics for Data Analysis

Tier 2 Required Courses (17.0 credits)

• COMP 2156 - Introduction to Microsoft Power BI
• COMP 2256 - Introduction to Visual Analytics with Tableau
• COMP 2831 - Business Analysis and Systems Design
• COMP 2854 - Data Analytics Fundamentals
• COMP 3841 - Introduction to Data Warehouses with Big Data
• MATH 3060 - Advanced Statistical Techniques for Data Analytics

Tier 3 Required Courses (10.5 credits)

• BLAW 3205 - Internet and IT Law
• COMP 3704 - Applied IT Security Fundamentals
• COMP 3839 - Data Quality Improvement
• COMP 4254 - Advanced Topics in Data Analytics

Elective Courses (5.0 credits)

• COMP 1011 - UX/UI Development
• COMP 1288 - IT Project Management Fundamentals
• COMP 2252 - SAP Crystal Reports
• COMP 3156 - MS Power BI Optimization
• COMP 3157 - MS Power BI Advanced Data Visualization
• COMP 3678 - SQL Server Development
• COMP 3679 - MS Azure and SQL Analytics Tools
• HLED 7250 - Leading Performance Measurement and Management
• HLED 7260 - Leadership Issues in Evidence-based Decision Making
• XCOM 3840 - Technical Presentations

Assessment:

Each COMP course in this program has a passing grade of 60%