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EIMT
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Bachelor of Science in Computer Science

Gain skills in AI, Data Science, and Cyber Security
Learn coding, systems, and modern technologies
No GMAT or GRE required
Designed for careers in fast-growing tech fields
3 Years

Duration

100% Online

Learning Mode

180

Total ECTS

Software & Tech Roles

Career Scope

Selected Course

Bachelor of Science in Computer Science

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Course Overview

Computer science is at the centre of the global digital revolution. The U.S. Bureau of Labor Statistics projects a 22% growth in software development roles and a 35% growth in AI and cybersecurity roles through 2032, far faster than average. Businesses and organisations increasingly rely on software, data analytics, AI, and secure systems, making tech professionals highly sought after.

The EIMT Bachelor of Science in Computer Science equips you to meet this demand with a modern, industry-aligned curriculum. Over 36 months, you learn:

  • Core Programming Skills – Master multiple languages, including Python, Java, and C++.

  • Data Structures & Algorithms – Build efficient solutions for complex problems.

  • Artificial Intelligence & Machine Learning – Develop predictive models and intelligent applications.

  • Cybersecurity Fundamentals – Secure systems and protect sensitive data.

  • Software & Systems Development – Design, test, and deploy real-world applications.

  • Data Analytics & Visualisation – Transform raw data into actionable insights.

The program emphasises hands-on experience through projects, case studies, and the Professional Pathway Scheme, where you gain practical skills while earning work experience. This ensures graduates leave with job-ready capabilities.

Technology is everywhere, and those who understand it shape the future. Studying computer science at EIMT prepares you for the jobs of tomorrow, roles, and industries that are just beginning to grow. You’ll learn to solve real problems, build solutions, and create opportunities for yourself.

Why Choose

BSc in Computer Science from EIMT

Develop Skills Today. Shape the Technology of Tomorrow.

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Transform Your Interest into Expertise

Turn your curiosity about technology into a strong foundation for a career. The EIMT Bachelor of Science in Computer Science equips you with in-demand knowledge and practical experience to thrive in the evolving tech industry.

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Acquire Skills that Drive Career Success

Gain hands-on experience in programming, artificial intelligence, machine learning, cybersecurity, and software development. Learn to apply concepts to real-world projects, preparing you to meet the expectations of employers today and tomorrow.

Flexible Learning to Fit Your Schedule

The fully online program allows you to study from anywhere while balancing work, internships, or other commitments. Structured modules and clear guidance ensure you progress steadily without disrupting your routine.

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Access Diverse Career Opportunities

Graduates qualify for roles such as Software Developer, AI Engineer, Cybersecurity Analyst, Systems Architect, and more. The degree also provides a strong foundation for advanced certifications or further academic studies in technology.

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Program Curriculum
The EIMT Bachelor of Science in Computer Science is a 36-month (3-year), 180 ECTS module-based program that follows a structured learning path from foundational concepts to advanced technologies. The curriculum covers programming, software development, database management, networking, cybersecurity, artificial intelligence, and machine learning, along with practical application of Python, Java, and web technologies. As you progress, you engage in hands-on projects, system design exercises, and real-world problem-solving, gaining experience in software engineering, data analysis, and IT security. The program emphasizes applied learning through assignments, case studies, and the capstone project, helping you build technical expertise and professional skills that align with the demands of the modern technology industry.

Learn the basics of computing, including hardware, software, and essential IT concepts that form the foundation of all computer science knowledge.

Explore the principles of computer networks, communication protocols, and networking systems to understand how data flows and is managed across devices.

Understand how to design, implement, and manage relational databases using SQL, preparing you to handle large volumes of data efficiently.

Develop skills to create responsive web and mobile applications, combining front-end and back-end development techniques.

Build a solid foundation in programming logic, problem-solving, and algorithm design to write effective and efficient code.

Learn software development life cycles, project planning, and best practices to deliver high-quality software solutions.

Master Object-Oriented Programming using Java, focusing on classes, objects, inheritance, and encapsulation.

Examine how information systems support business operations and decision-making, linking technology with organizational strategy.

Dive into network architecture, protocols, and management strategies to ensure secure and efficient communication across systems.

Learn essential cybersecurity principles, including threat detection, prevention techniques, and system protection strategies.

Gain hands-on experience in Python programming, covering scripting, data manipulation, and building simple applications.

Study the mathematical foundations required for computing, including logic, discrete mathematics, probability, and statistics.

Explore big data technologies, storage systems, and analytical techniques to manage and interpret large datasets effectively.

Understand encryption, decryption, and secure communication methods to protect sensitive information in digital systems.

Learn how AI and data science intersect, using algorithms and models to extract insights and make predictions from data.

Study strategies and tools to secure data, comply with privacy regulations, and protect information assets.

Examine global security standards and compliance frameworks to ensure systems and processes meet industry requirements.

Learn how IoT devices communicate, integrate with networks, and provide smart solutions in everyday life and industry.

Build predictive and analytical models using supervised and unsupervised machine learning techniques for practical applications.

Develop efficient solutions for complex problems by mastering core data structures and algorithm design.

Understand methods to secure web applications, including common vulnerabilities and protective measures.

Apply mathematical methods to model computational and real-world problems, enhancing analytical and problem-solving skills.

Discover the principles of quantum computing and explore how it can revolutionize problem-solving in computing.

Learn how to analyze system requirements and design software solutions that are effective, scalable, and maintainable.

Understand blockchain technology, cryptographic security, and how decentralized ledgers are applied in real-world scenarios.

Acquire skills to plan, execute, and manage IT projects, balancing time, resources, and quality effectively.

Explore online business models, platforms, and secure digital transactions to understand the digital marketplace.

Learn to capture, organise, and utilise organisational knowledge to improve decision-making and operational efficiency.

Apply all the concepts learned throughout the program to a comprehensive project, simulating real-world challenges and solutions in computer science.

Eligiblity Criteria

To apply for the Bachelor of Science in Computer Science, you must meet the following admission requirements set by EIMT.

Academic Qualifications
To apply for the first year of the BSc in Computer Science, applicants must meet one or more of the following:

  • High School Diploma / Matriculation Certificate (EQF Level 4):
    Completion of secondary education with subjects in English, Mathematics, and science or technology-related courses.

  • International Baccalaureate (IB) Diploma:
    Minimum 34 points overall, including Mathematics at a minimum score of 4 (HL or SL).

  • GCSE/IGCSE plus A-Level Combination:
    Five GCSE/IGCSE subjects with passing grades plus three A-Level or AS-Level subjects.

  • U.S. Advanced Placement (AP) Program:
    High school diploma with AP exams in relevant subjects, achieving a score of 3 or higher.

  • Equivalent International Qualifications:
    Other recognised secondary school leaving certificates that meet EQF Level 4 standards.

Alternative Entry Path (Recognition of Prior Learning - RPL)
Applicants without standard qualifications but with relevant work experience, professional skills, or prior studies may be considered for admission under the institute’s RPL policy.

Language Competence
Proficiency in English is required. Evidence can include:

  • English as a native language

  • IELTS (minimum 6.0)

  • TOEFL (CB 213 / IBT 79–80 / Paper 550)

  • Cambridge Advanced English (CAE) – minimum grade C

  • Duolingo English Test – minimum score 110

  • English as the language of instruction in prior studies

  • Successful completion of an internal English assessment

Digital Competence
Applicants must demonstrate basic digital literacy, including:

  • Using computers and troubleshooting common issues

  • Internet research and online communication

  • Familiarity with software tools such as word processors, spreadsheets, and presentation applications

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
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Begin your application today and take the first step toward your academic goals.
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📜 Globally Recognized Certification
Master In-Demand Skills for the Digital World With EIMT
The EIMT Bachelor of Science in Computer Science prepares students for high-demand technology careers. You gain hands-on experience in programming, AI, cybersecurity, software development, and data management. The program combines practical projects with real-world problem solving, giving graduates the skills and confidence to succeed in global tech roles.
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Internationally Recognised Accreditation and Quality Standards

The EIMT Bachelor of Science in Computer Science is fully accredited by QAHE, certified under ISO/IEC 40180:2017, and aligns with global quality benchmarks for higher education. These recognitions ensure your degree meets rigorous academic standards and carries international credibility.

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Memberships in Leading Education Associations

EIMT holds memberships with EURASHE, the United States Distance Learning Association (USDLA), and the Association for Transnational Higher Education Accreditation (ATHEA), demonstrating its commitment to professional higher education, distance learning excellence, and global quality assurance.

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European Recognition and Global Credit Transfer

EIMT programs, including the Bachelor of Science in Computer Science, are aligned with the European Higher Education Area (EHEA) and the Bologna Process, ensuring adherence to European quality standards. Degrees are recognised under the European Qualifications Framework (EQF) and accredited by the Malta Further & Higher Education Authority (MFHEA), providing globally respected credentials and smooth international credit transfer options.

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

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Professional Certificate in AI & Machine Learning
Faculty Members
Prof. (Dr.) Mensur Zeqiri
Prof. (Dr.) Mensur Zeqiri

Prof. (Dr.) Mensur Zeqiri, PhD brings a wealth of international academic and leadership experience to his role as Dean of Administration.

Prof. Shailendra Naresh Kulkarni
Prof. Shailendra Naresh Kulkarni

Prof. S.N. Kulkarni has many firsts to his name in the field of academics. He is the Youngest VICE-CHANCELLOR of a University in India.

Prof. (Dr.) Ernesto O. Cordero
Prof. (Dr.) Ernesto O. Cordero

A professional leader with over ten years of experience in research, policy development, education, and corporate sustainability.

Dr. Eli Hamadimann
Dr. Eli Hamadimann

Dr. Eli Hamadimann is a distinguished figure in the realm of education, blending academic prowess with extensive industry experience to drive innovation and excellence.

Dr. Blerina Metanj
Dr. Blerina Metanj

Blerina Metanj is a seasoned professional with a diverse background in education, statistics, research, and project management.

Prof. Angela Caswell
Prof. Angela Caswell

45 years of experience in healthcare having worked across prestigious organizations in UK, USA KSA.

Dr. Shardhanand Harinandan Singh
Dr. Shardhanand Harinandan Singh

Dr. Shardhanand Harinandan Singh is a distinguished scholar, educational policy adviser and an inter-disciplinary researcher.

Dr. Tanios El-Khoury
Dr. Tanios El-Khoury

Dr. Tanios El-Khoury is a C-level executive with proven expertise in directing billion-dollar megaprojects and complex multi-disciplinary programs, Dr. El-Khoury combines strategic vision with technical proficiency.

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