Target Group :

The Post Graduate Diploma in Computer Science (Blockchain and FinTech) is a graduate-level programme designed for both national and international students who wish to develop advanced knowledge and technical expertise in financial technologies and blockchain systems. The programme is particularly suitable for graduates from Computer Science, Information Technology, and STEM-related disciplines who aim to specialise in fintech, digital finance, and distributed systems. It also attracts professionals seeking to enhance their technical capabilities, transition into fintech roles, or advance their careers in technology-driven financial industries.

Entry Requirements :

Applicants to the Post Graduate Diploma in Computer Science (Blockchain and FinTech) 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

The Post Graduate Diploma in Computer Science (Blockchain and FinTech) will prepare students for the following occupations:

• DLT Developer
• Software Engineer
• Trading Analyst
• Machine Learning Engineer
• Team Lead

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 privacy and information security.
• Understand methods for evaluating system security, including threat modelling, penetration testing, and incident response strategies.

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 threats and incidents and implement strategies to enhance system security and resilience.

• Face-to-face lectures with practical applications
• Case study analysis
• Group discussions
• Guest lectures from industry practitioners
• Workshop-based sessions
• Supervised independent research

Grading