Program overview
Admission Requirements
Intakes

Last updated on 2025-07-09

Program overview

Program Overview

The Data Management and Analytics Post-Diploma Certificate is designed to equip learners with the skills necessary to extract valuable insights from unstructured data sets. This program emphasizes the importance of data-driven decision-making in various organizational contexts. By focusing on the data life cycle, students will learn to determine data requirements, model data, and utilize information technology tools effectively. Graduates will be prepared to tackle real-world business challenges and contribute to informed decision-making processes across different sectors.

Program Structure

The Data Management and Analytics Post-Diploma Certificate is structured to provide comprehensive training over a period of 2 terms. The program is categorized under the Technology area and is offered by the School of Technology. Key details include:

  • Program Length: 2 Terms
  • Credential: Post-Diploma Certificate

This program is designed for students who have completed a diploma or equivalent in fields such as business administration, information technology, engineering, or software development. Additionally, learners are expected to have programming experience and will need a laptop that meets specific minimum specifications to participate effectively in the program.

Featured Experiences

  • Hands-on experience with relational database systems and data warehousing.
  • Focus on data quality improvement and visual analytics.
  • Introduction to working with big data.
  • Project work centered around resolving real-life business and organizational challenges.
  • Opportunities to design data analytics projects that aid organizations in making informed decisions.

Career Options

Graduates of the Data Management and Analytics Post-Diploma Certificate can explore a variety of exciting career opportunities in both the public and private sectors. Potential job roles include:

  • Data Analyst: Responsible for analyzing data sets to identify trends and insights that can inform business decisions.
  • Database Administrator: Manages and maintains database systems, ensuring data integrity and security.
  • Data Merger Specialist: Focuses on integrating data from various sources to create a unified view for analysis.
  • Data Analytics Professional: Utilizes statistical tools and techniques to interpret complex data and provide actionable recommendations.
  • Data Architect: Designs and builds data systems and structures to support data management and analytics initiatives.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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