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Subject Description: Data Modeling and Database Design Hours: 24 Hours Prerequisites: Data Processing SSS 1 (1st, 2nd and 3rd Term) …
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Course Access
4 Months
No. of Students Enrolled
20
Total Course Time
7 hours, 40 minutes
Last Updated
July 31, 2025
Certification
Category
Subject Description: Data Modeling and Database Design
Hours: 24 Hours Prerequisites: Data Processing SSS 1 (1st, 2nd and 3rd Term)
Subject Overview
This subject introduces students to the fundamental concepts of data modeling and database design essential for modern information systems. Students will learn to design, implement, and manage databases using industry-standard practices while working with real-world scenarios from social media, e-commerce, and digital platforms they use daily.
Learning Objectives
By the end of this subject, students will be able to:
- Understand and apply the three stages of data modeling (conceptual, logical, physical)
- Design normalized databases up to Third Normal Form (3NF)
- Create comprehensive Entity-Relationship (ER) diagrams
- Identify and implement various types of database keys
- Compare different data models and select appropriate solutions
- Build functional databases using Microsoft Access
- Generate meaningful reports and queries from database systems
- Apply database concepts to modern applications like social media, streaming services, and e-commerce platforms
Subject Topics
- Introduction to Data Models - Types, stages, and significance
- Database Management Systems - Components and user roles
- Normalization - Eliminating redundancy and organizing data efficiently
- Database Keys - Primary, foreign, composite, and candidate keys
- Entity-Relationship Modeling - Designing database relationships
- Practical Implementation - Hands-on database creation and management
Assessment Methods
- Hands-on Projects (50%) - Five major projects to pick one covering different aspects of database design using MS Access implementations of real-world scenarios
- Assignments (50%) - Follow up class works and assignments to reenfore learning
- Midterm CAs (40%) - Theoretical concepts and CBT
- Final Exam (60%) - Comprehensive dataprocessing exam to test mastery of the subject
Required Software
- Microsoft Access
- Materials and datasets provided via School's Online Education
Course Currilcum
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- Data Processing SSS 2 (1st Term) Scheme of Work 00:45:00
- ACAD WEEK 1: Introduction to Data Models 00:45:00
- ACAD PROJECT 00:45:00
- ACAD WEEK 2: Stages of Data Modeling 00:45:00
- ACAD WEEK 3: Types of Data Models 00:45:00
- ACAD WEEK 4: Data Modeling Terminology 00:45:00
- ACAD WEEK 5: Standard Data Models & Database Management System (DBMS) Components 00:45:00
- ACAD WEEK 6: Database Normalization 00:45:00
- ACAD WEEK 7: Database Keys & Entity-Relationship (ER) Model 00:45:00
- ACAD WEEK 8: Data Modeling and Database Design Assignments 00:45:00
- ACAD WEEK 6: Key Takeaways 00:10:00
Course Instructors

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