fbpx Micro-credential certification in Database System TCS3043 (BIT) | Africa Open Learning
Overview: 

Data Modeling is a comprehensive course designed to provide students with a deep understanding of the principles, techniques, and best practices involved in designing effective and efficient data models. Data modeling is a crucial skill for professionals in fields such as database management, software development, business analysis, and more. This course aims to equip learners with the knowledge and skills required to create well-structured, normalized, and scalable data models that accurately represent real-world information systems.

Note: Subject relates to Bachelor of Information Technology

Programme Fee

Awarding Body: 

This programme is designed, delivered, assessed and awarded by SEGi University through the Africa Open Learning Platform. 

Endorsement & Recognition: 


This programme is recognized and endorsed by the Seychelles Qualifications Authority (SQA), established under the Seychelles Qualifications Authority Act of 2005. 

Discipline: 
Technology & Innovation
Entry Requirements: 

Programming Skills - Yes
Age Experience - 19 Years Above 
Language Proficiency - Yes 
Numeracy Proficiency - No 
Digital Skills - Yes
Pre-requisites - No

Contents: 
  1. Introduction to Data Modeling
  2. Types of Data Models
  3. Entity-Relationship (ER) Modeling
  4. Normalization
  5. Data Modeling Tools
  6. Relational Data Modeliing
  7. Data Modeling Best Practices
Assessments: 

Assignment - 50%
Final Exam - 50%

Credit Transfer: 
Upon successful completion of this Micro-credential certification in Database System (BIT), students will be able to transfer grades and credits into the following programme(s):
  1. Bachelor of Information Technology (Hons) 
Continuing Education: 
Upon successful completion of this Bachelor of Information Technology (Hons) programme and meeting the necessary entry requirements, students will be able to progress into the following programme(s):
  1. Masters of Science (Information Technology) by Research
Career Opportunities: 
  • Data Modeler
  • Data Administrator
  • Front-End Developer
  • Back-End Developer
  • Full-Stack Developer
  • Mobile App Developer
  • Game Developer