Database Designer
Study Program Courses

This course is designed to equip students with the fundamental skills and knowledge required to become proficient database designers. Participants will learn the principles of database architecture, data modeling, and the tools needed to design and implement efficient, scalable databases. The course covers both relational and non-relational databases, focusing on key aspects such as entity-relationship models, normalization, SQL, and database management systems (DBMS). By the end of the course, students will be able to design, build, and optimize databases tailored to the specific needs of businesses and organizations.


Learning Details and Options

.

Key Areas Covered

  1. Database Fundamentals

    • Introduction to databases
    • Types of databases: relational vs. non-relational
    • Database management systems (DBMS)
    • Data storage, retrieval, and security
  2. Data Modeling & Architecture

    • Entity-relationship (ER) diagrams
    • Conceptual, logical, and physical data models
    • Primary keys, foreign keys, and constraints
  3. Normalization

    • First, second, and third normal forms
    • Denormalization strategies
    • Optimizing database performance through normalization
  4. SQL (Structured Query Language)

    • Data definition language (DDL) and data manipulation language (DML)
    • Writing complex SQL queries for data retrieval
    • Joins, subqueries, and indexing
  5. Non-relational Databases (NoSQL)

    • Introduction to NoSQL databases
    • Key-value stores, document databases, and graph databases
    • Designing NoSQL databases for large-scale applications
  6. Database Security & Backup

    • User authentication and authorization
    • Encryption techniques
    • Database backup and recovery strategies

Assessment & Project Types

  1. Quizzes and Tests – Periodic assessments to evaluate understanding of theoretical concepts such as normalization, ER diagrams, and SQL queries.
  2. Database Design Project – A hands-on project where students design and implement a database from scratch based on a real-world scenario or case study.
  3. SQL Query Optimization – A practical assignment where students optimize complex SQL queries for efficiency and speed.
  4. Final Capstone Project – Students will collaborate on designing, developing, and presenting a comprehensive database solution, demonstrating their understanding of all aspects of the course.

Learning Outcomes

By the end of this course, students will be able to:

  1. Understand and apply core database concepts, including relational and non-relational databases.
  2. Design efficient databases using ER diagrams and normalization techniques.
  3. Write and optimize SQL queries for data manipulation and retrieval.
  4. Implement security and backup protocols in database management.
  5. Design both relational and NoSQL databases suited to specific organizational needs.
  6. Analyze and optimize database performance for scalability and efficiency.

Regular & Intensive Learning Option

  • Class Schedule:
    Morning Students – Monday to Thursday, 09:00 am – 03:00 pm
    Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm

  • Teaching Method: Online & Offline / Online only (eg. Google meet video call)
  • Course Duration: 2 sessions (6 months)
  • Session Length: 1 session = 3 months

  • DWTA Qualification: Academic Certificate
  • CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
  • Tuition & Guidance Fees:
    • Ghc 2600 per session or
    • Ghc 900 per month

Slow-Paced & Relaxed Learning Option

  • Class Schedule:
    Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm

  • Teaching Method: Online & Offline / Online only (eg. Google meet video call)
  • Course Duration: 2 sessions (6 months)
  • Session Length: 1 session = 3 months

  • DWTA Qualification: Academic Certificate
  • CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
  • Tuition & Guidance Fees:
    • Ghc 2600 per session or
    • Ghc 900 per month

.

.