logo

All Programmes

About Us

Student Zone

Policies

logo

All Programmes

About Us

Student Zone

Policies

Agora Business Centre, Level 2, Triq Il-Wied Ta’ L-Imsida, Msida, MSD 9020, Malta

info@euroamerican.edu.mt

Master of Computer Science (AI & Data Science or Cyber security)

Drive change and be the change. Break down competitive silos, attain a holistic toolkit, and create a long-lasting impact.

Home  /  

Master of Computer Science (AI & Data Science or Cyber security)

Programme at a Glance

The Master of Computer Science (MCS) offered by the Euro American Institute is an 18-month, fully online postgraduate programme designed to provide learners with advanced theoretical knowledge and applied digital skills in contemporary areas of computing, with specialisations in Artificial Intelligence & Data Science or Cybersecurity.

Although a total of 120 ECTS worth of modules are submitted for MFHEA accreditation to accommodate a structured elective pool, the qualification award is strictly capped at 90 ECTS, in full compliance with MQF Level 7 requirements.

The programme delivers a structured curriculum covering core computer science foundations alongside advanced study in areas such as machine learning, data analytics, network and system security, cloud computing, and DevOps practices. Content is delivered through a combination of asynchronous learning materials, live online sessions, virtual laboratories, and collaborative digital tools, ensuring academic rigour within a fully online environment.

Practical learning is achieved through cloud-based virtual laboratories, simulated environments, and controlled sandbox platforms, which allow learners to design, develop, test, and evaluate software, data-driven, and security-focused solutions. While the programme does not involve physical access to on-premise ICT infrastructure, learners gain industry-relevant troubleshooting, deployment, and optimisation experience through virtualised systems, cloud platforms, and DevOps pipelines that reflect contemporary professional practice.

Type

MQF/EQF Level 7

Duration

18 Months

Mode of Attendance

Full-time

Mode of Delivery

Fully Online Learning

Language of Instruction

English

Total ECTS

90 ECTS

Type of Course

Qualification

Programme Accreditation Category

Higher Education Course / Programme
Apply NowDownload Curriculum

Programme Regulatory Information

Overview

Institution:Euro American Institute
MFHEA Licence Number:2024-032
Licence Category:Higher Education Institution

MCS Skills Incubation

End-to-End Computing Solutions
Design, implement, and critically evaluate advanced computing solutions, integrating programming, database, networking, architectural, and security principles to address complex or unfamiliar problems.
End-to-End Computing Solutions
AI & Advanced Analytics Expertise
Select, adapt, and apply advanced algorithms, analytical methods, and computational techniques in artificial intelligence, data science, machine learning, or cybersecurity contexts, making defensible judgements where information is incomplete or uncertain.
AI & Advanced Analytics Expertise
Intelligent Research & Solution Strategy
Conduct research-based diagnosis of complex computing problems by integrating interdisciplinary knowledge, analysing evidence, and evaluating alternative solutions using appropriate research methods.
Intelligent Research & Solution Strategy
System Performance & Reliability Testing
Apply systematic testing, validation, and evaluation techniques to assess the performance, reliability, scalability, and security of software systems, data pipelines, networks, and intelligent applications.
System Performance & Reliability Testing
Data & System Communication
Communicate complex technical concepts, analytical findings, and system designs clearly and professionally to specialist and non-specialist audiences using appropriate reports, visualisations, and technical documentation.
Data & System Communication
Technical Project Management
Plan, manage, and take responsibility for technical tasks and projects, making informed decisions in collaborative and professional computing environments.
Technical Project Management
Adaptive Learning & Growth
Demonstrate advanced learning skills by independently identifying emerging technologies, tools, standards, and risks in computer science, critically evaluating their relevance, and undertaking self-directed learning to maintain and extend professional competence.
Adaptive Learning & Growth

Next Intake

The next intake shall be conducted in accordance with the Institute’s approved academic calendar. Applicants may contact info@euroamerican.edu.mt for confirmation of the next available intake before enrolment.
img

Programme Snapshot

18-Month Full-Time Online Programme Accredited by the Malta Further and Higher Education Authority

Individual and group-based projects

Collaborative coding tasks and code reviews

Data-driven case studies

Simulated security and system scenarios

Capstone and industry-oriented projects

Why Earn an online MCS with Euro American Institute?

Future-Ready Tech Expertise
The Master of Computer Science (MCS), specialising in Artificial Intelligence (AI) & Data Science or Cybersecurity, is designed to provide graduates with advanced skills to develop and implement cutting-edge solutions in these dynamic fields.
Future-Ready Tech Expertise
Smart Tech & Security Foundations
The programme focuses on the integration of AI, machine learning, data analytics, and cybersecurity principles, preparing students to address emerging challenges in software development, data science, and network security.
Smart Tech & Security Foundations
High-Demand Tech Expertise
By offering specialised training in these areas, the programme responds to the increasing demand for professionals skilled in AI, data science, and cybersecurity.
High-Demand Tech Expertise
Next-Gen Tech Learning Framework
The programme delivers a structured curriculum covering core computer science foundations alongside advanced study in areas such as machine learning, data analytics, network and system security, cloud computing, and DevOps practices.
Next-Gen Tech Learning Framework
Immersive Virtual Learning Experience
Practical learning is achieved through cloud-based virtual laboratories, simulated environments, and controlled sandbox platforms.
Immersive Virtual Learning Experience
Real-World Learning Experience
Hands-on learning is embedded across modules through individual and group-based projects, collaborative coding tasks, data-driven case studies, simulated security and system scenarios, and capstone and industry-oriented projects.
Real-World Learning Experience
Applied Research Learning
The programme also places emphasis on research-informed practice, enabling learners to critically evaluate emerging technologies, apply appropriate methodologies, and engage with real-world problem contexts using virtual collaboration tools.
Applied Research Learning

What does this course have to offer?

Key Highlights

Who is This Programme For?

Top Skills You Will Acquire

Minimum Eligibility

Exit Awards/Qualifications

    • The Master of Computer Science (MCS) offered by the Euro American Institute is an 18-month, fully online postgraduate programme.
    • The programme delivers a structured curriculum covering core computer science foundations alongside advanced study in areas such as machine learning, data analytics, network and system security, cloud computing, and DevOps practices
    • Practical learning is achieved through cloud-based virtual laboratories, simulated environments, and controlled sandbox platforms
    • Hands-on learning is embedded across modules through individual and group-based projects, collaborative coding tasks, data-driven case studies, simulated security and system scenarios, and capstone and industry-oriented projects
    • The programme also places emphasis on research-informed practice, enabling learners to critically evaluate emerging technologies, apply appropriate methodologies, and engage with real-world problem contexts using virtual collaboration tools

What Will You Learn?

Industry-relevant curriculum taught by leading faculty & industry experts using videos, case studies, hands-on projects and live online sessions.

Software Programming Principles and Practices in Java

The aim of this module is to develop learners' understanding on what a programming language is, how it works and how to interact with computers using a programming language.

Software Programming Principles and Practices in Java
The learner will cover all the basic concepts of a programming language and is taught through real world coding examples, the learner will have regular coding assignments for better understanding through practice. Students engage with current research literature and professional sources on modern programming practices, including software maintainability, performance optimisation, and secure coding. Emerging topics such as concurrent programming, memory management in managed runtimes, and evolving Java frameworks are explored through reference to peer-reviewed articles and industry research.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Database & SQL Programming

The aim of this module is to develop the learner's ability to understand the shortfalls of traditional storage systems and how modern relational database systems overcome the challenges.

Database & SQL Programming
Learner will also develop the programming skills required to communicate with database systems for accessing, transforming, and persisting the data using Structured Query Language. The module incorporates engagement with contemporary research on data modelling, transaction management, database optimisation, and data governance. Students examine emerging research topics such as scalable database architectures, data consistency in distributed systems, and ethical data management through academic journals and professional publications.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Computer Architecture

This module provides an in-depth understanding of computer hardware and the fundamental principles behind system architecture.

Computer Architecture
Topics include processor design, memory hierarchy, input/output systems, and instruction set architectures. Students will learn how computer systems are structured and how components interact to execute programs efficiently. Practical applications and performance optimization techniques will also be explored. Students engage with current research literature in computer architecture, including advances in multi-core processing, energy-efficient architectures, parallel computing, and hardware–software co-design. Research findings from academic journals and conferences are used to contextualise architectural trade-offs and performance considerations.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Computer Networks

The Computer Networks module in the Master of Computer Science (MCS) programme provides an in-depth exploration of network architectures, protocols, and technologies.

Computer Networks
It covers topics such as data transmission, network topologies, routing algorithms, and security mechanisms. Students will gain practical skills in designing, managing, and securing network infrastructures through hands-on projects and case studies. The module integrates contemporary research on network architectures, protocols, and security, including topics such as software-defined networking, network automation, and resilient network design. Students engage with peer-reviewed research and industry white papers to analyse evolving networking challenges.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Advanced Computing Research Methods

The aim of this module is to develop learners' ability to prepare for various types of academically based computing research through the development and design of a research proposal.

Advanced Computing Research Methods
Learners will develop a critical understanding of the philosophical, practical, and ethical concepts of research within the context of computing discipline. This module is explicitly research-focused and requires sustained engagement with contemporary computing research literature. Students analyse peer- reviewed journal articles and conference papers to develop research questions, methodological approaches, and ethically grounded research designs.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Data Science Foundations

Data Science combines powerful computing technology, sophisticated statistical methods, and expert domain knowledge to analyse and gain practical insights from huge amounts of data produced by organisations in the present business environment.

Data Science Foundations
The aim of this module is to introduce a range of data science concepts, data administration and governance and big data sources. The module introduces learners to contemporary research in data science, including data governance, scalable analytics, and ethical data use. Students engage with peer-reviewed research on data-driven decision-making and emerging analytical techniques relevant to organisational and societal contexts.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Data Mining, Machine Learning and Artificial Intelligence

This module is designed to introduce the science behind machine intelligence and the philosophical debate around the ambitions of simulating human intelligence to solve real-world problems.

Data Mining, Machine Learning and Artificial Intelligence
Students will be guided to appreciate AI types and applications and develop a better understanding of aspects related to intelligent agents. In this module students will master key concepts and gain the practical knowledge to apply machine learning principles to challenging real-world problems. Students engage with contemporary research topics including explainable artificial intelligence, ethical machine learning, model interpretability, and large-scale data analytics. The module draws on peer-reviewed journal articles and conference proceedings to contextualise theoretical and applied developments in AI and machine learning.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Data Analysis and Visualisation

The Data Analysis and Visualization module equips students with the skills to analyse complex data sets and present insights in a clear and compelling visual format.

Data Analysis and Visualisation
The course covers various data analysis techniques, including descriptive and inferential statistics, as well as data cleaning and transformation methods. Students will learn to use software tools such as Excel, Python (with libraries like Pandas, NumPy, and Matplotlib), and Tableau to manipulate, analyse, and visualise data effectively. By the end of the module, students will be able to identify patterns, trends, and anomalies in data, and communicate their findings through impactful visual representations, supporting decision-making processes in business and research contexts. The module integrates engagement with current research on data interpretation, visual analytics, and evidence-based communication. Emerging research topics such as visual bias, transparency in data storytelling, and interactive visualisation are explored through academic literature and professional research.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Probability and Statistics for Data Analysis

The Probability and Statistics for Data Analysis module provides students with foundational knowledge in probability theory and statistical methods, focusing on their application in data analysis.

Probability and Statistics for Data Analysis
Topics include probability distributions, hypothesis testing, regression analysis, and statistical inference techniques. The module emphasises the practical use of statistical tools to analyse and interpret data, helping students develop the skills necessary for making data-driven decisions. Real- world case studies and hands-on exercises using software such as R or Python will be incorporated to enhance students' ability to perform statistical analysis and draw meaningful conclusions from data. Students engage with contemporary research in statistical modelling, uncertainty quantification, and data-driven inference. The module draws on peer-reviewed studies to examine the application of statistical reasoning in complex and uncertain analytical environments.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Security Engineering

The aim of this module is to develop learners' understanding and skills in secure software development life cycle, system hardening techniques, authentication and authorisation processes, encryption techniques, network security measures to analyse, evaluate security of systems and design web applications architecture.

Security Engineering
The learner can critically evaluate various security tools and standards for security engineering in a range of data security measures, social engineering attacks, to explore and implement system hardening techniques and acquire the knowledge and skills to be able to design a secure system. Students engage with current research literature in security engineering, including vulnerability management, secure system design, threat modelling, and cryptographic applications. Emerging research topics such as zero-trust architectures and secure cloud infrastructures are examined through academic and professional sources.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Internet of Things and Cryptography

This extensive module provides definitions of important terminologies about Internet of Things (IoT) and Cryptography.

Internet of Things and Cryptography
Students will explore the intricate relationship between the IoT and cryptography, gaining a profound understanding of how cryptography plays a pivotal role in securing the expansive network of interconnected devices that constitute the IoT ecosystem. This module will provide you with a comprehensive theoretical foundation on how cryptographic techniques are applied to IoT environments, ensuring their security and privacy. The module incorporates engagement with current research on IoT architectures and applied cryptography, including secure communication protocols, lightweight cryptographic schemes, and privacy-preserving IoT systems. Students analyse emerging research challenges through academic journals and standards-based publications.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Networking and Kali Linux

The Networking and Kali Linux module provides students with a comprehensive understanding of networking fundamentals and hands-on experience with Kali Linux, a powerful platform for penetration testing and cybersecurity.

Networking and Kali Linux
Students will learn about network protocols, IP addressing, subnetting, routing, and switching, as well as how to configure and secure networks. The module will also cover the use of Kali Linux tools for ethical hacking, including information gathering, vulnerability scanning, and exploitation techniques. Through practical exercises, students will develop the skills necessary to assess and secure networks in real-world environments. Students engage with contemporary research in network security and penetration testing, including emerging attack vectors, defensive strategies, and ethical hacking methodologies. Research literature and professional security reports are used to contextualise practical activities and tools.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Engineering of Hacking

The Engineering of Hacking module focuses on the techniques, tools, and methodologies used in ethical hacking and penetration testing.

Engineering of Hacking
Students will learn how to identify, exploit, and defend against vulnerabilities in various systems, including networks, web applications, and devices. The module emphasises hands-on practice with tools like Kali Linux to perform real-world hacking simulations and understand cybersecurity concepts. By the end, students will be able to apply ethical hacking principles to assess and improve system security. The module draws on current research in ethical hacking and offensive security, including studies on vulnerability discovery, exploit development, and responsible disclosure. Students engage with peer-reviewed research and professional security publications to inform analytical and practical work.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Forensic Computing

The Forensic Computing module provides students with the knowledge and skills required to investigate and analyse digital evidence from a variety of sources.

Forensic Computing
It covers topics such as data acquisition, evidence preservation, cybercrime investigation, and legal considerations in digital forensics. The module focuses on the application of forensic tools and techniques to solve real- world cybercrime cases, ensuring students understand both technical and ethical aspects of forensic computing. Students engage with contemporary research in digital forensics, including evidence acquisition, forensic analysis techniques, and legal admissibility of digital evidence. Academic research and professional guidelines are used to analyse evolving forensic challenges
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Application and Device Audit

The Application and Device Audit module focuses on the methodologies and techniques for auditing software applications and devices within organisational environments.

Application and Device Audit
Students will learn how to assess security, compliance, and performance of various applications and devices, identifying vulnerabilities and potential risks. The module emphasises practical tools and real-world scenarios for conducting effective audits, ensuring the integrity and security of IT systems. The module integrates current research on application security, device auditing, and compliance frameworks. Students engage with academic and professional research on audit methodologies, risk assessment, and emerging regulatory and technological challenges.
Hours TypeValue
ECTS6
Total Contact Hours (TCH)30
Supervised Placement and Practice Hours (SPPH)20
Self-Study Hours (SSH)80
Assessment Hours (AH)20
Total Learning Hours (TLH)150
Capstone Project

The aim of this module is to provide students with an opportunity to apply their knowledge and skills to solve a real-world computing problem.

Capstone Project
Common objectives include applying knowledge, conducting in-depth research, showcasing problem-solving skills, demonstrating effective project management, communicating findings clearly, exhibiting technical proficiency, applying critical thinking, considering ethical considerations, and promoting collaboration. The specific requirements may vary, so it's essential to refer to your institution's guidelines for precise information. The Capstone Project requires sustained engagement with current research literature relevant to the chosen project domain. Students critically analyse academic research, industry reports, and professional standards to inform problem formulation, solution design, and evaluation. The Dissertation / Capstone Project constitutes the culminating academic component of the Master of Computer Science and enables learners to demonstrate advanced theoretical understanding, applied technical competence, and independent scholarly judgement consistent with MQF Level 7 descriptors. Through an individual, research-informed project, learners design, implement, and critically evaluate an advanced computing system or research study addressing complex and unpredictable technical challenges. The module emphasises autonomy, responsibility, and critical decision-making in both technical and research contexts.
Hours TypeValue
ECTS30
Total Contact Hours (TCH)150
Supervised Placement and Practice Hours (SPPH)150
Self-Study Hours (SSH)330
Assessment Hours (AH)120
Total Learning Hours (TLH)750

Programme Fee

Programme Fee

The programme fee applies to the full programme unless otherwise stated in the official student agreement. Any applicable administrative charges, payment terms, refund provisions and student obligations shall be clearly communicated to applicants before enrolment.

Programme Fee

€ 15,000

MCS Application Process

Admission to the EAI's MCS programme is simple and convenient by following an entirely online process. Our admission team evaluates every application and checks every candidate's past academic performance and future potential.

curve-line
01
Apply Online & Complete Documentation

Enrol by filling out the online application. Enter accurate personal information and contact details, academic qualifications, experience, etc. Upload scanned copies of your academic transcripts and supporting documents, experience certificates, etc. supporting the information you have provided in the application form.

02
Get Offer Letter

The admission panel will review your application, and Shortlisted applicants will receive an email from the Institute.

03
Review Student Agreement and Complete Enrolment Payment

Applicants are required to review and sign the applicable student agreement before completing enrolment and payment. The programme fee, payment terms, refund provisions and student obligations shall be communicated clearly before enrolment, in line with MFHEA requirements.

About Image

Contact Us

Phone

=

FAQs

Frequently Asked Questions

  • 01

    Admissions & Enrolment

  • 02

    Programmes & Accreditation

  • 03

    Student Support & Resources

The MCS is an 18-month, fully online postgraduate programme offered by the Euro American Institute, designed to provide advanced theoretical knowledge and applied digital skills in computing, with specialisations in Artificial Intelligence & Data Science or Cybersecurity.

The programme is aligned with MQF Level 7. While 120 ECTS modules are included for academic breadth, the final qualification is awarded at 90 ECTS, in compliance with MQF requirements.

Learners can specialise in either Artificial Intelligence & Data Science or Cybersecurity, based on their career interests.

logo

The Euro American Institute is committed to holistic growth and transformation, enabling students to explore new horizons and redefine what is possible.

Important Links

BlogsEventsContact UsLegal DisclaimerAccreditation & Quality Assurance

Important Links

About UsOnline DeliveryPartner With UsTerms and Conditions
MFHEA Licence Number
2024-032
Licence Category
Higher Education Institution
Email
info@euroamerican.edu.mt
Address
Agora Business Centre, Level 2, Triq Il-Wied Ta’ L-Imsida, Msida, MSD 9020, Malta

© Copyright - 2026. All Rights Reserved by Euro American Institute.