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EuroAmerican Institute

Master of Computer Science

Industry-Focused Computing Master’s

Advanced Skills for Tech Growth

Practical Learning Beyond Theory

Develop Expertise in Emerging Technologies

18 Months

Program Duration

100% Online

Learning Mode

90 ECTS

Total ECTS

High

Career Growth

Enroll Now - Limited Seats

Selected Course

Master of Computer Science

Course Overview
Curriculum
Eligibility Criteria
Admission Process
Certificate
FAQs
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Course Overview

Demand for advanced computing skills continues to grow as industries invest in AI, cybersecurity, cloud technologies, and data-driven systems. The U.S. Bureau of Labor Statistics (BLS) projects 16% growth in software developer jobs between 2024 and 2034, showing a continued need for professionals with specialised technical knowledge.

The Master of Computer Science (MCS) is an 18-month, fully online postgraduate program designed for learners who want deeper knowledge in modern computing while building practical and research capability. The programme is suitable for graduates, technology professionals, and learners planning academic progression.

Students can specialise in Artificial Intelligence & Data Science or Cybersecurity, allowing focused study in areas linked with current technology demand. The qualification is aligned with MQF Level 7, with the final award capped at 90 ECTS credits, while the curriculum includes a broader elective structure.

The programme combines core computer science concepts with advanced topics such as:

Artificial Intelligence and Machine Learning
Data Analytics
Cybersecurity and Network Security
Cloud Computing
DevOps Practices
Modern Software and Computing Systems

Learning takes place through virtual labs, cloud platforms, live online sessions, and self-paced study materials. Instead of physical ICT labs, students work within simulated environments and sandbox systems to test solutions, solve technical problems, and gain experience with tools used in current technology settings.

By completing the programme, learners may prepare for roles such as Software Engineer, Cybersecurity Specialist, Data Scientist, Cloud Professional, DevOps Engineer, Systems Architect, or continue toward research and doctoral-level study.

Why Choose

the Master of Computer Science (MCS) EuroAmerican Institute?

Build advanced computing skills through flexible postgraduate study and specialised learning pathways.

Expertise in a Specialisation That Matches Your Goals

Not every learner plans the same career path in technology. The programme offers specialisation options in Artificial Intelligence & Data Science or Cybersecurity, allowing students to focus on areas connected with their interests and long-term plans. This approach supports deeper subject knowledge rather than broad exposure alone.

Learn Through Digital Tools That Support Applied Understanding

The programme includes virtual labs, cloud-based platforms, and simulated environments that help learners engage with technical tasks in online settings. Students work with digital systems used for testing, analysing, and understanding computing processes, helping connect academic learning with practical application.

Earn a Recognised Qualification

The 18-month fully online structure gives learners the opportunity to continue their education while balancing employment, family responsibilities, or other commitments. Online delivery also supports international learners seeking postgraduate study without relocating.

Well-Structured Curriculum That Supports Future Progression

The Master of Computer Science (MCS) is aligned with MQF Level 7 standards and awards a 90 ECTS postgraduate qualification. The programme can support learners planning future academic pathways, advanced study opportunities, or progression into specialised technology and research-focused roles.

Program Curriculum

The Master of Computer Science (MCS) follows a structured 90 ECTS postgraduate pathway designed to build advanced computing knowledge step by step. Learners begin with core subjects covering programming, databases, computer systems, networks, and research methods before progressing into specialised elective areas aligned with emerging technology fields. The curriculum balances technical foundations, applied learning, and independent research, helping students strengthen both theoretical understanding and practical computing capability.

In the final stage, learners complete a 30 ECTS Capstone Project, allowing them to apply accumulated knowledge to a substantial research or technical project. This progression supports deeper subject expertise while encouraging analytical thinking, problem solving, and advanced academic development throughout the program.

Year 1

Code	Module Title	ECTS
MCS701	Software Programming Principles and Practices in Java	6 ECTS
MCS702	Database & SQL Programming	6 ECTS
MCS703	Computer Architecture	6 ECTS
MCS704	Computer Networks	6 ECTS
MCS705	Advanced Computing Research Methods	6 ECTS
	Elective 1	6 ECTS
	Elective 2	6 ECTS
	Elective 3	6 ECTS
	Elective 4	6 ECTS
	Elective 5	6 ECTS
	Total ECTS	60 ECTS

Year 1 = 30 ECTS core modules + 30 ECTS chosen specialisation = 60 ECTS total

Choose One Specialisation Pathway along with their Elective options

Specialisation: AI & Data Science

Code	Module Title
MCS706	Data Science Foundations
MCS707	Data Mining, Machine Learning and Artificial Intelligence
MCS708	Data Analysis and Visualisation
MCS709	Probability and Statistics for Data Analysis
MCS710	Security Engineering

Specialisation: Cybersecurity

Code	Module Title
MCS711	Internet of Things and Cryptography
MCS712	Networking and Kali Linux
MCS713	Engineering of Hacking
MCS714	Cloud Computing and Forensic Investigation
MCS715	Application and Device Audit

Year 2

Code

Module Title

ECTS

MCS716

Capstone Project

30 ECTS

Total ECTS

Year 1 (60 ECTS) +

Year 2 (30 ECTS) = 90 ECTS

Eligiblity Criteria

1.Academic Qualification

Applicants must hold a recognised Bachelor’s degree in one of the following areas:

Computer Science
Software Engineering
Information Technology
Computer Engineering
Electrical or Electronic Engineering
Information Systems
Applied Mathematics (with programming background)
Data Science
Cybersecurity
Artificial Intelligence
Telecommunications Engineering
Mechatronics (with programming and systems modules)

Applicants from other disciplines may also apply if they have at least 60 ECTS (or equivalent) in core computing-related areas such as programming, data structures, algorithms, databases, computer systems, discrete mathematics, or networking, along with a strong grounding in computer science fundamentals.

All applicants must hold an EQF Level 6 qualification with a minimum 55% overall score (or GPA 2.0 on a 4.0 scale or equivalent).

2.English Language Requirement

The programme is delivered in English. Applicants must meet one of the following:

IELTS: 6.5 overall
TOEFL: iBT 58+, PBT 490+, CBT 167+
TOEIC: 555+ overall
PTE: 50+ overall
Duolingo: 90+ overall

3.English Language Waivers

English test requirements may be waived if the applicant:

Is a native English speaker, or
Has completed secondary or higher education in English, or
Has at least 2 years of work experience in an English-speaking professional environment

4.Applicant Commitment

Applicants are required to complete a pre-enrolment screening, which may include:

A short personal statement, or
An online motivation assessment, or
A short admissions interview (if required)

This process helps assess motivation, ability to manage online postgraduate study, and suitability for independent learning.

5.Digital and Technical Requirements

Applicants must have access to:

A laptop or computer capable of running virtualisation tools and Linux environments
Stable internet connection for online classes, cloud labs, and collaboration tools
Basic computer skills such as operating systems, internet usage, and productivity tools

6.Recognition of Prior Learning (RPL)

Applicants who do not fully meet entry requirements may be considered under the RPL pathway, based on the EuroAmerican Institute’s MFHEA-approved policy:

RPL eligibility generally requires:

At least 2 years of relevant professional experience in areas such as software development, AI, data science, cybersecurity, networking, or IT systems

Applicants must provide supporting evidence such as CV, references, certifications, job descriptions, or project portfolios.

7.RPL Assessment and Academic Evaluation

RPL applicants may be required to complete an additional evaluation, which can include:

Technical assessment covering programming, algorithms, mathematics, and AI or cybersecurity basics
Written task or case study focusing on reasoning, problem-solving, and academic writing
Academic interview (if required)

Admission through RPL is granted only when applicants demonstrate competence equivalent to EQF/MQF Level 6 learning outcomes. Conditional admission may apply where minor gaps are identified, with bridging support before advanced study.

Your Admission Process

Our 5-step admission process ensures a smooth journey from application to enrollment. Complete each step at your own pace.

📝

Step 1

Online Application

Apply by filling a simple online application form

Estimated time: 15-20 mins

Submit your personal information, academic records, and supporting documents through our secure online portal.

In Progress

📋

Step 2

Document Review

Admissions committee will review and shortlist

Estimated time: 3-5 business days

Our expert panel evaluates your application against program requirements and academic standards.

Pending

🧮

Step 3

Aptitude Test

Online aptitude test for shortlisted candidates

Estimated time: 90 minutes

Take our comprehensive assessment covering logical reasoning, quantitative analysis, and critical thinking.

Pending

🎤

Step 4

Interview Round

Screening call with Alumni/Faculty

Estimated time: 30-45 minutes

Engage in a meaningful conversation with program faculty or alumni to assess your fit and motivation.

Pending

🎓

Step 5

Admission Decision

Receive your official admission offer

Estimated time: 5-7 business days

Get your admission results along with program details, fees structure, and enrollment instructions.

Pending

Your Application Journey

Ready to Start Your Journey?

Begin your application today and take the first step toward your academic goals.

Begin Application

📜 Globally Recognized Certification

Earn a Master’s Qualification Supported by European Academic Standards

Your postgraduate qualification matters more when it comes from a recognised higher education environment. The Master of Computer Science (MCS) from is delivered within frameworks aligned with MQF and EQF standards, supporting academic progression, international recognition potential, and future opportunities in advanced study or specialised technology careers.

Study with a Higher Education Institution Licensed by Malta’s National Authority

Choosing a postgraduate qualification also means choosing the institution behind it. is licensed by the Malta Further & Higher Education Authority (MFHEA) to offer higher education programmes across recognised qualification levels. The institute operates within MQF and EQF frameworks, supporting qualifications aligned with European higher education standards. For learners planning career progression, international mobility, or future academic study, institutional recognition can add long-term value alongside the qualification itself.

Get your 18-Month Master’s Designed Around Working Professionals

Many professionals delay postgraduate study because balancing work, personal commitments, and education can be difficult. The Master of Computer Science (MCS) at follows a 100% online, 18-month format, allowing learners to continue working while progressing toward a 90 ECTS postgraduate qualification aligned with MQF Level 7 standards. The programme supports learners seeking higher academic credentials and advanced computing knowledge without interrupting existing careers or responsibilities.

Gain Access to 2 Specialisation Pathways in High-Interest Computing Areas

Instead of following one fixed route, learners can focus on Artificial Intelligence & Data Science or Cybersecurity. These specialisations sit alongside core computing subjects such as programming, cloud technologies, networks, and advanced research methods. This structure helps learners build deeper expertise in areas linked with growing technology investment and changing workforce needs.

Ready to Earn Your Certificate?

Join thousands who have advanced their careers with our recognized certification.

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Frequently Asked Questions?