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Course details

Course Includes:

  • Intakes:Jan /Apr /Jul /Oct
  • Duration:12 months
  • ECTS:60 credits
  • Mode:Face-to-face
  • Language:British English
  • MQF Level / EQF Level :Level 7
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Post Graduate Diploma in Computer Science

The Post Graduate Diploma in Computer Science is a graduate-level programme designed to provide students with advanced knowledge and practical skills in core areas of computer science. The programme offers a flexible, research-led learning environment where students can explore specialised modules such as Artificial Intelligence, Distributed Systems, Security, FinTech, and Software Engineering. It aims to equip students with the ability to understand, design, and develop complex computing systems while applying modern software development methodologies.

The overall programme curriculum covers fundamental concepts including algorithms, data structures, complexity theory, and programming languages, alongside applied and emerging areas of computing. Students develop the ability to design, implement, and evaluate large-scale systems, while also gaining experience in conducting research and contributing to the field through scholarly work. Practical learning is emphasised through project-based work and collaborative activities, enabling students to apply their knowledge to real-world problems and work effectively within interdisciplinary teams.

The programme is designed to integrate theoretical foundations with practical application, preparing students for advanced roles in the evolving field of computer science.

  • PROGRAMME OVERVIEW
    Programme Title Post Graduate Diploma in Computer Science
    Provider Ascencia Malta LTD
    Licence Number 2021-018
    Institution Category Higher Education Institution
    Accrediting Body Malta Further & Higher Education Authority
    MQF/EQF Level Level 7
    Total ECTS 60
    Total Learning Hours 1500
    Contact Hours 300
    Supervised Placement/Practice Hours 75
    Self-Study Hours 800
    Assessment Hours 325
    Mode of Delivery Fully Face-to-Face Learning
    Mode of Attendance Full-Time
    Duration (Full-Time) 12 months
    Language of Instruction British English
    Delivery Address Floriana Campus: 23, Vincenzo Dimech Street, Floriana, Malta
    Swieqi Campus: 88, 90 Triq It-Tiben, Swieqi SWQ 3034, Malta
    Assessment Methods Individual and group reports, presentations, written exams, multiple-choice exams, assignments, and thesis
  • TARGET GROUP AND ENTRY REQUIREMENTS

      Target Group :

      The Post Graduate Diploma in Computer Science is a graduate-level programme designed for both national and international students who wish to develop advanced knowledge and technical expertise in computer science. The programme is particularly suitable for graduates from Computer Science, Information Technology, and STEM-related disciplines who aim to deepen their understanding of advanced computing concepts and applications. It also attracts professionals seeking to enhance their technical skills, transition into specialised computing roles, or advance their careers in areas such as software development, data science, and emerging technologies.

      Entry Requirements :

      Applicants to the Post Graduate Diploma in Computer Science programme should have:

    • A Bachelor’s degree in Computer Science, Information Technology, or a STEM-related subject
    • Applicants without the required academic background may be considered based on relevant professional experience (typically 2 to 5 years in the industry), subject to individual assessment
    • A good command of scientific English, demonstrated by an IELTS score higher than 7.0 (or equivalent), unless the previous degree was completed in a primarily English-speaking country

      • Applicants will also have the opportunity to apply for the programme based on Ascencia Malta’s Recognition of Prior Learning (RPL) process. Candidates will be required to present their previously obtained qualifications along with their academic transcripts.

  • RELATIONSHIP TO OCCUPATION

    The Post Graduate Diploma in Computer Science will prepare students for the following occupations:

    • Policy Maker
    • Software Engineer
    • Risk Analyst
    • Threat Management Specialist
    • Secure Systems Designer/Programmer
    • Information Systems Administrator
    • Specialist System Administrator
    • Forensic Analyst
    • Lead Forensic Analyst
    • Cyber Penetration and Verification Analyst
    • Cyber Security Analyst
    • Cyber Security Manager
    • Cyber Solutions Architect
    • Cyber Security Consultant
    • Information Security Specialist
    • Cyber Security Risk Consultant
  • PROGRAMME LEARNING OUTCOMES

    5.1 Knowledge and Understanding

    The learner will be able to:

    • Develop an advanced understanding of security and cryptography theories and techniques, including network security, web security, cryptographic algorithms, intrusion detection and prevention, and secure coding practices.
    • Understand the principles and methodologies required to design and implement secure systems using appropriate programming languages, tools, and software development approaches.
    • Demonstrate knowledge of relevant security standards, regulations, and compliance frameworks, particularly in relation to data protection and privacy.
    • Understand methods for evaluating system security, including threat modelling, penetration testing, and incident response strategies.

    5.2 Skills

    The learner will be able to:

    • Design and implement secure systems using appropriate technologies, tools, and development methodologies.
    • Evaluate the security of systems and identify vulnerabilities using techniques such as penetration testing and threat analysis.
    • Apply security principles and cryptographic techniques to protect data, systems, and networks in real-world environments.
    • Make informed decisions based on security standards, regulatory requirements, and best practices in cybersecurity.
    • Respond effectively to security incidents and implement strategies to improve system resilience and protection.
  • Teaching, Learning, and Assessment
    • Face-to-face lectures with practical applications
    • Case study analysis
    • Group discussions
    • Guest lectures from industry practitioners
    • Workshop-based sessions
    • Supervised independent research

    Grading

    Grade Classification
    70–100% Distinction
    60–69% Merit
    50–59% Pass
    40–49% Marginal Fail
    0–39% Fail

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