Cybersecurity Awareness
Module Description
This module addresses the critical importance of cybersecurity in safeguarding digital infrastructures and data. Students will develop an understanding of cyber threats, defence mechanisms, and the human factors influencing security practices. The module examines key areas such as phishing, social engineering, malware, encryption, multi-factor authentication, and regulatory compliance frameworks (e.g., GDPR).
It also analyses the impact of cybersecurity on data integrity, privacy, organisational trust, and legal obligations. Through real-world case studies, students will learn to identify vulnerabilities, assess risks, and implement proactive security strategies. The module emphasises the cultivation of a security-conscious culture within organisations.
Additionally, ethical considerations and legal responsibilities in handling sensitive information are explored. By the end of the module, students will be equipped with the knowledge and skills to advocate for best practices and apply technical and behavioural solutions to mitigate threats at both personal and organisational levels.
This module prepares learners to navigate the evolving cyber threat landscape with strategic, informed, and ethical approaches to digital security.
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.
Learning Outcomes
Competences:
- Assess cyber risks and manage mitigation strategies.
- Ensure compliance with regulatory frameworks.
- Monitor security systems and deal with incidents.
- Advise stakeholders on cybersecurity best practices.
Skills:
- Apply risk assessment frameworks (e.g., NIST, ISO 27001) to evaluate organisational vulnerabilities.
- Design mitigation plans to address identified risks, prioritising actions based on severity and likelihood.
- Make use of vulnerability scanning tools (e.g., Nessus, OpenVAS) to identify weaknesses in systems.
- Apply GDPR or PCI-DSS requirements to organisational policies and workflows.
- Conduct gap analysis exercises to identify and remediate non-compliant practices.
- Operate SIEM tools (e.g., Splunk, LogRhythm, SolarWinds, Loggly) to monitor real-time network activity and detect anomalies.
- Apply forensic tools (e.g., Wireshark, Autopsy) to analyse attack vectors and gather evidence.
- Use intrusion detection systems (IDS) to identify and respond to suspicious traffic patterns.
Module-Specific Learner Skills:
- Reconcile conflicting priorities (e.g., innovation vs. security) when advising stakeholders on emerging technologies (e.g., IoT, AI).
- Predict long-term security trends by analysing historical attack patterns and emerging threat actor tactics.
- Integrate technical data (e.g., log analysis) with human behavioral insights.
Module-Specific Digital Skills and Competences
At the end of the module/unit, the learner will be able to
- Analyse and mitigate cyber threats using digital tools.
- Leverage forensic tools to increase security.
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials, etc