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Master of Computer Science

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Program Overview
Goals & Objectives
Program Highlights
Why EIMT
Admission Requirements
Curriculum & Structure
FAQs

Accreditations

Accredited by major accrediting bodies.

Alumni Network

A strong network of 1000+ alumni worldwide.

Scholarships

Upto 30% of the total tuition fees available

International Students

From 20+ Countries

Program Highlights

18 Months online Program.
Specially Designed for Working Professionals.
Pick your specialisation: AI & Data Science or Cyber Security.
International Networking Opportunities.
Highly Qualified Industry Experienced Faculties.
Focused & Unique Curriculum.
Discover the Latest Business and Industry Trends.
Develop real-life problem-solving abilities.

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Master of Computer Science (MCS)

The Master of Computer Science (MCS) at the European Institute of Management & Technology (EIMT) is an 18-month program designed to help students build strong knowledge and outstanding practical skills in two key specialisations: Artificial Intelligence (AI) & Data Science, and Cybersecurity. The program combines core computer science learning, hands-on experience, research, and collaboration with industry leaders. The students become proficient in making intelligent systems, analysing complex data, and building secure digital solutions that prevent cyberattacks.

Computer scientists are the architects of future technology, which will impact business, healthcare, science, and everyday life. By acquiring an MCS degree, students will be able to tackle real-world computing problems, turn new ideas into products or services, and accelerate digital transformation across numerous sectors.

The program is delivered through a combination of theory and practice, comprising topics such as AI, data analytics, machine learning, software engineering, and network security. It motivates students to be innovative, problem-solvers, and critical thinkers, thereby equipping them with excellent career prospects in technology, data, and cybersecurity fields.

The MCS program employs a combination of teaching methods: lectures, discussions, hands-on labs, and projects aimed at developing students' theoretical and practical skills. Students engage with real-world issues related to AI, Data Science, and Cybersecurity through collaborative work, case studies, and industry-based projects, while being supported by expert guest lectures and online learning tools.

Post-completion of the master, you will be able to:

Use‍‌‍‍‌‍‌‍‍‌ theories from computer science, algorithmic principles, and data-driven methods to address real-world problems in AI & Data Science or Cybersecurity.
Create, implement, test, and upgrade intelligent or safe computing systems, programs, and products.
Break down complicated issues, figure out the computing and security needs, and come up with the most suitable technical solutions.
Employ up-to-date design and development methods to create software systems that are scalable, efficient, and secure in various ‍‌‍‍‌‍‌‍‍‌domains.
Implement and manage secure networks and software using cybersecurity tools and protocols to protect data, ensure compliance, and maintain system resilience.
Demonstrate leadership, problem-solving, and teamwork skills for success in global tech environments.

Master of Computer Science

Our online Master of Computer Science program helps you build both theoretical understanding and practical skills, which will enable you to be successful in the tech-driven world of today. The curriculum encompasses key areas, including Artificial Intelligence, Data Analytics, Machine Learning, Cybersecurity, and Software Development. You’ll study important topics such as machine learning, data analytics, secure system design, and network protection, gaining hands-on experience with tools like Python, JavaScript, Microsoft Azure, and Oracle SQL to build intelligent, data-driven, and secure solutions for real-world challenges.

Master of Computer Science

Eligibility : Bachelor's Degree
Min. Duration : 18 Months
Enrollment : Being online - Throughout the Year

Who is this course for?

Career Switchers

You have no prior computer science knowledge or certifications, but you are fascinated by technology. Alternatively, you may be employed in a technical capacity yet wish to pursue a career in the sector.

Career Enhancers

You already have a technical job, but you want to strengthen your fundamental computer abilities and learn more about artificial intelligence or data analytics to expand your career options.

Data Drivers & Security Enthusiasts

In your current role, you handle data daily or manage digital systems. You want to learn how artificial intelligence, machine learning, data analytics, and cybersecurity can enhance your organisation’s performance and protect its digital assets.

Online Learning

Multiple intakes are available throughout the year. The ability to study on your own time - suit your studies around your life and work schedule. Your personal Student Success Advisor, who will be there for you from the beginning to the end.

Accreditations

Dedicated to Quality, Committed to Your Success.

USDLA

EURASHE

ACBSP

QAHE

AQS

ATHEA

View EIMT Accreditations

Academic Qualifications:

Applicants should have a bachelor’s degree in Computer Science, Information Technology, or an equivalent EQF Level 6 qualification in management, business, or any relevant area with a minimum score of 55% (GPA 2.0 on a 4.0 scale). Relevant professional experience or prior learning may also be considered under the Recognition of Prior Learning (RPL) Policy.

Language Competence:

Candidates must demonstrate proficiency in English through standardized tests or prior education. Acceptable minimum scores include:

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

English proficiency may also be shown if the applicant has completed a degree fully taught in English or has other credible evidence of English competency.

English Language Waiver:

The English requirement may be waived for applicants who:

Are native English speakers
Completed high school or higher education in English
Have at least 2 years of professional experience in an English-speaking workplace

Fundamental Digital Competency:

Applicants should be comfortable using computers, accessing the internet, and working with standard software tools.

Application Go Through:

Applications are accepted online only. Once the application form is received, our team reviews past performance and future potential and will contact you accordingly..

What is Next?

Once the Admission Committee reviews your application and provides a positive response, you will receive a letter of admission. After processing the payment, you will receive an email with your login credentials and access to our Learning Management System.

The Curriculum

Develop your knowledge and job skills in the most crucial aspects of computer science.

Mandatory Modules

30 Credits

Software programming principles and practices in Java

Database & SQL Programming

Computer Architecture

Computer Networks

Security Engineering

Elective Modules - (Select One)

Apart from the below mentioned specialized modules, you will need to submit a Major Project with proper report.

Research Programs

Master's Programs

Bachelor's Programs

Master of Computer Science

Accreditations

Alumni Network

Scholarships

International Students

Program Highlights

Get FREE 1:1 Counselling

Master of Computer Science (MCS)

Post-completion of the master, you will be able to:

Master of Computer Science

Master of Computer Science

Who is this course for?

Career Switchers

Career Enhancers

Data Drivers & Security Enthusiasts

Online Learning

Accreditations

USDLA

EURASHE

ACBSP

QAHE

AQS

ATHEA

Academic Qualifications:

Language Competence:

English Language Waiver:

Fundamental Digital Competency:

Application Go Through:

What is Next?

The Curriculum

Mandatory Modules

Software programming principles and practices in Java

Database & SQL Programming

Computer Architecture

Computer Networks

Security Engineering

Elective Modules - (Select One)

AI & Data Science (30 Credits)

Cyber Security (30 Credits)

Data Science Foundations

Data Mining, Machine Learning and Artificial Intelligence

Data Analysis and Visualisation

Probability and Statistics for Data Analysis

Advanced Computing Research Methods

Cyber Security (30 Credits)

Internet of things and Cryptography

Networking and Kali Linux

Engineering of Hacking

Forensic Computing

Application and Device Audit

Capstone Project

Capstone Project

Frequently Asked Questions

What specialisations can I choose?

Who is this program for?

What are the eligibility requirements?

What will I learn from this program?

What are the educational goals of the program?

What kind of support is available?

What is the application deadline?

Are the lectures pre-recorded or are there any live lectures?

Register Now!.. to study in Next Academic Year 2025-26.

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