Data Management and Analysis

Module Description

This module equips students with skills in managing, analysing, and interpreting data to drive informed decision-making in modern organisational contexts. Through a combination of theoretical concepts and hands-on practice, students will learn to leverage Python programming alongside industry-standard tools such as Pandas, NumPy, and Matplotlib to address real-world data challenges.

The module emphasises the end-to-end data lifecycle—from acquisition and cleaning to analysis, visualisation, and communication of insights—preparing students to transform raw data into actionable knowledge. Key topics include data wrangling techniques, statistical analysis, exploratory data analysis, and the creation of visuals.

Students will work with diverse datasets to practice structuring queries, performing aggregation and transformation tasks, and applying analytical techniques to solve problems across various domains.

Through project-based learning, case studies, and collaborative exercises, students will gain proficiency in using Python libraries to manipulate tabular data, execute vectorised operations, and generate interactive visualisations.

Entry Requirements

Candidates who apply for this course will possess:

• A qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject / a related (professional) qualification) and a pass in English Language* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).

In the case of students who do not possess all the formal required academic qualifications, then the Recognition of Prior Learning (RPL) process could be applied such that if evidence of equivalent learning and/or related experience is found then the applicant could still be accepted on the course. Evidence may include:

• A detailed CV clearly outlining relevant professional experience in IT or related fields.
• Employer reference letters outlining job role, duration, and key competencies.
• Related documentation (e.g. work portfolio) such as project reports, system designs, code samples, certifications from training, or any materials demonstrating applied IT knowledge. In the case of a portfolio, the Admissions Board will evaluate how the applicant’s experience matches the skills and knowledge expected at MQF Level 4 in IT or related fields. There needs to be a thorough evidence of learning that the applicant has acquired knowledge, skills, and competences that are equivalent to formal learning outcomes.

Such RPL process may subject applicants to an interview held with a board of experts within the field, chosen specifically by IDEA College, so as to verify their practical knowledge, experiences, and prior learning.

*Students whose first language is not English and do not possess an ‘O’ level pass in English Language will be required to demonstrate English language capability at IELTS level 6.0 or equivalent.

Target Audience

This qualification is designed for learners who wish to gain a solid foundation in modern Information Technology (IT) practices, with a particular focus on workplace-relevant technologies and digital tools. The course targets the following types of learners:

• Post-secondary school leavers who wish to pursue a career in information technology or related fields, and are looking for a practical, industry-relevant qualification.
• Working professionals from non-IT backgrounds seeking to upskill or reskill in order to transition into IT-related roles within their organisation or the broader job market.
• Adult learners returning to education who are interested in gaining contemporary digital competencies to enhance their employability.
• Entry-level IT staff or administrative personnel who wish to formalise and expand their knowledge of core IT concepts, especially in the areas of cybersecurity, cloud computing, data management, and programming.
• Individuals aiming to pursue further studies in computing or information systems, for which this course provides an ideal stepping stone, particularly through the Certificate.

Career Paths

This programme equips learners with the skills and knowledge pertinent to the following occupations:

• IT Support Technician / Helpdesk Support
• Junior Systems Administrator
• Cybersecurity Assistant
• Cloud Support Associate
• Data Analyst (Entry-Level)
• Junior Software Developer
• Digital Transformation Assistant

How you’ll be assessed

The course comprises:

• Evening classes for part-time courses.
• Classes held throughout the day for full-time courses.
• Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
• Self-study hours comprising research, reading and assignment work.

Assessment

Assessment is carried out via two mandatory components:

• Assessment 1
• Assessment 2

The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.