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- Course Overview
Master of Computer Science
The Master of Computer Science at EIMT is an expertly crafted 2 year graduate programme tailored for professionals with a foundational understanding of technology or computing. Designed to support career transitions, advancement in current roles, or deeper expertise in computer science, this programme equips you with advanced skills and knowledge to thrive in today’s dynamic tech industry.Â
PROGRAMME SPECIFICS
• Title of the Qualification/Award: Master of Computer Science (MCS)
• Number of Modules: 11
• ECTS Credits: 90
• Programme Duration: 2 Year
• Total Learning Hours: 2250 Hours
The curriculum spans critical computer science disciplines. You will explore software engineering, mastering the creation of reliable and efficient software applications. Database systems will teach you to effectively manage and organise large datasets. The programme also delves into artificial intelligence and machine learning, enabling you to build intelligent systems capable of learning and decision-making based on data.
Additionally, you will gain expertise in cloud computing and distributed systems, essential for modern applications operating across multiple servers or over the internet. A strong foundation in data structures and algorithms will empower you to solve complex computational problems with speed and efficiency. Furthermore, human-computer interaction will equip you to design user-friendly software that meets real-world user needs.
After finishing this programme, you will be able to:
- Demonstrates advanced understanding of AI and Data Science, applying concepts to complex, real-world challenges.
- Combines theoretical and practical knowledge to create intelligent, data-driven technological solutions.
- Applies machine learning and analytics tools to develop and manage next-generation digital systems.
- Optimises AI models and data frameworks through critical thinking and innovation.
- Utilises automation, cloud computing, and ethical AI to design scalable, future-ready solutions.
- Applies cybersecurity tools and protocols to ensure robust system security and data protection.
- Designs, implements, and audits secure network and software infrastructures, mitigating emerging threats.
- Integrates cybersecurity considerations into all technological solutions, ensuring compliance, resilience, and privacy.
- Exhibits leadership, problem-solving, and collaboration skills essential for success in the global tech landscape.
- Admission
Admission Requirements
General Admission Requirements
- General Admission Requirements
- A copy of an updated resume.
- Any document if not in English must be accompanied by a certified translated copy.
Additional Admission Requirements For Master of Computer Science
Academic Requirements:
Applicants must hold a recognised bachelor’s degree in Computer Science, Information Technology, or an equivalent qualification at EQF Level 6 in management, business, or a related field. A minimum score of 55% (or a GPA of 2.0 on a 4.0 scale) or higher is required for admission.
English Language Proficiency:
Applicants must demonstrate language proficiency by providing one of the following minimum test scores:
IELTS: 6.5 overall
TOEFL: iBT 58+, PBT 490+, or CBT 167+
TOEIC: 555+ overall
PTE: 50+ overall
Duolingo: 90+ overall
English proficiency can be proven through an academic degree taught and assessed entirely in English, or with other substantial evidence of proficiency.
English Proficiency Waivers:
The English language test requirement may be waived for candidates who meet any of the following criteria:
Are native English speakers;Â or
Have completed their schooling (High School Diploma) or higher education in English;Â or
Possess at least two years of professional experience in an organisation where English is the primary language of communication.
- Why Choose Us
Master of Computer Science
This programme provides core computing mastery by establishing a strong foundation in essential computer science principles while developing hands-on expertise in Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, and related advanced domains. It follows a research-infused and industry-aligned approach, seamlessly bridging academic rigour with real-world application, enabling students to transform theoretical knowledge into practical, impactful projects while strengthening critical analytical skills.
The curriculum promotes cross-disciplinary technological proficiency, preparing learners to excel in diverse areas such as machine learning, system architecture, cybersecurity, Human-Computer Interaction, and advanced algorithm development. With a strong focus on future-ready innovation, the programme empowers graduates to design scalable and ethical technological solutions using cutting-edge tools including AI, data analytics, cloud computing, and intelligent automation.
- Objectives
Program Objectives
The Master of Computer Science programme aims to develop highly skilled computing professionals with advanced technical expertise and strong analytical capabilities. It seeks to build a solid foundation in core computer science principles while fostering specialization in areas such as Artificial Intelligence, Data Science, Cybersecurity, and Software Engineering. The programme emphasizes research-driven learning, innovation, and practical application to solve complex real-world problems. It also promotes ethical responsibility, critical thinking, and cross-disciplinary collaboration. Graduates are prepared to design scalable, secure, and intelligent technological solutions that contribute to industry advancement and global digital transformation.
The program goals are:
- Develop advanced knowledge of core computer science principles, including algorithms, data structures, systems, and software engineering.
- Build practical expertise in emerging technologies such as Artificial Intelligence, Data Science, Cybersecurity, and Cloud Computing.
- Strengthen analytical, research, and problem-solving skills to address complex real-world computing challenges.
- Promote ethical responsibility and innovation in designing secure, scalable, and intelligent technological solutions.
- Prepare graduates for leadership roles in technology-driven industries, research, and global digital transformation initiatives.
- Course Structure
Program Curriculum
Modules Covered
Module 1: Software programming principles and practices in Java (ECTS 6)
Module 2: Database & SQL Programming (ECTS 6)
Module 3: Computer Architecture (ECTS 6)
Module 4: Computer Networks (ECTS 6)
Module 5: Security Engineering (ECTS 6)
Module 6: Elective 1Â (ECTS 6)
Module 7: Elective 2 (ECTS 6)
Module 8: Elective 3 (ECTS 6)
Module 9: Elective 4 (ECTS 6)
Module 10: Elective 5 (ECTS 6)Module 11: Capstone Project (ECTS 30)
Elective (Specialisation: AI and Data Science)
Module 6: Data Science Foundations (ECTS 6)
Module 7: Data Mining, Machine Learning and Artificial Intelligence (ECTS 6)
Module 8: Data Analysis and Visualisation (ECTS 6)
Module 9: Probability and Statistics for Data Analysis (ECTS 6)
Module 10: Advanced Computing Research Methods (ECTS 6)
Elective (Specialisation: Cybersecurity)
Module 6: Internet of things and Cryptography (ECTS 6)
Module 7: Networking and Kali Linux (ECTS 6)
Module 8: Engineering of Hacking (ECTS 6)
Module 9: Forensic Computing (ECTS 6)
Module 10: Application and Device Audit (ECTS 6)Â
