Diploma in Data Engineering

Diploma in Data Engineering (DDE)

The Diploma in Data Engineering would likely be a specialized program aimed at equipping students with the skills and knowledge needed to work in the field of data engineering. Data engineering involves the design, development, and management of data architecture, infrastructure, and tools to facilitate the collection, storage, processing, and analysis of large volumes of data.

The program’s objectives are as follows:

  • Equip students with practical skills in designing, implementing, and managing data engineering solutions.
  • Provide a comprehensive understanding of database management systems, data modeling, and warehousing techniques.
  • Introduce students to big data technologies, frameworks, and analytics tools used in processing and analyzing large datasets.
  • Apply the principles and practices of Extract, Transform, Load (ETL) processes for integrating data from various sources.
  • Enable students to write scripts and code for data manipulation and analysis using programming language.

We are grateful to the professional bodies who have shared their resources and expertise to help us develop “Diploma in Data Engineering”. We have established a partnership with esteemed academy institutions, and our thanks go to Oracle Academy and Amazon Web Services (AWS) Academy.

Purpose of the Data Engineering Diploma

The purpose of this program is to meet the demands of the rapidly evolving field of data engineering and to provide students with the necessary skills and knowledge for successful entry into the workforce.

The goal of a Diploma in Data Engineering would be to prepare students for entry-level roles in data engineering, where they can contribute to the development and maintenance of data infrastructure within organizations.

First Semester Units

  • Database Technologies
  • Data Modelling and data warehousing
  • Big Data Technologies
  • Data preprocessing and transformation
  • Data Integration

Second Semester Units

  • Data security, quality, and governance
  • Data Engineering for cloud computing platforms
  • Design and implementation for data pipelines
  • Data Analytics and Reporting
  • Capstone Project