Master of Science in Information Technology & Data Management (MSITDM)

1. Build a Solid Foundation in Information Technology:
   Develop a deep understanding of core IT concepts, systems architecture, networks, and software systems that form the backbone of modern digital enterprises.
2. Master Data Management Principles:
   Equip students with the skills to design, manage, and optimize databases and data systems for structured and unstructured data environments.
3. Advance Analytical Thinking and Data Interpretation:
   Foster the ability to apply statistical methods, data mining, and predictive analytics techniques to extract actionable insights from complex datasets.
4. Enhance Cybersecurity Awareness and Skills:
   Train students to identify, assess, and mitigate cybersecurity risks, implementing protection strategies to secure data and IT infrastructures.
5. Enable Cloud Computing Proficiency:
   Provide practical knowledge and skills to deploy, manage, and scale applications and services using modern cloud platforms and architectures.
6. Promote Competency in Business Intelligence:
   Develop students’ ability to use BI tools and data warehousing techniques to support strategic decision-making and organizational growth.
7. Strengthen Knowledge of Data Governance and Compliance:
   Instill a strong grasp of data privacy, legal frameworks, compliance standards, and ethical considerations in data management and use.
8. Foster Adaptability to Emerging Technologies:
   Encourage exploration and critical evaluation of disruptive technologies like AI, IoT, blockchain, and their impact on digital transformation.
9. Integrate Technical Knowledge with Business Strategy:
   Enable students to align IT and data initiatives with business goals, driving innovation, efficiency, and competitive advantage.
10. Develop Research, Communication, and Leadership Skills:
    Promote interdisciplinary capabilities in academic research, technical communication, collaboration, and IT leadership in diverse organizational contexts.

Entry Requirements:

• Recognized Bachelor Degree in any field or Recognized Post Graduate Diploma (PGD) 
• Sufficient English language proficiency.
• At least 1 year of working experience.
• Participants must have the facility of smart phone or laptop or computer to maintain the program activity.
   

Mature Entry Route (done on case-by-case evaluation basis only):

• Candidates without any prior tertiary education and qualification should possess at least 10 years of professional working experience in the field of Business, Management, or related areas of work.
• Candidates  who have completed HND Level 4 (Diploma) should possess at least 7 years of professional working experience in the field of Business, Management, or related areas of work.
• Candidates who have completed HND Level 5 (Higher Diploma) should possess at least 4 years of professional working experience in the field of Business, Management, or related areas of working experience.

M-401: Introduction to Management Information Systems

Introduction

This subject provides a foundational understanding of computer systems, software applications, networking, and the role of IT in modern business environments. Students will explore the architecture and functioning of IT systems, their evolution, and the strategic role of information systems.

Objectives

1. Understand the basic components and functions of computer systems.
2. Explore the role of IT in solving business problems and enhancing efficiency.
3. Familiarize with hardware, software, and networking concepts.
4. Examine IT trends and their impact on organizations.
5. Develop critical skills in using productivity tools and platforms.

M-402: Computer System Architecture

Introduction

The study of Computer System Architecture provides learners with a strong foundation in the design, organization, and functionality of computer systems. It integrates principles of computing, hardware, operating systems, and networking to help students understand how different components interact to perform tasks efficiently. The subject also emphasizes system-level problem solving, troubleshooting, and data management, ensuring learners are capable of maintaining reliable and effective computing environments. Through its units, students will explore both theoretical frameworks and practical applications, preparing them to address real-world challenges in IT infrastructure, systems engineering, and digital operations.

Objectives

1. To explain the fundamental concepts of computing and the role of system architecture in modern technology.
2. To describe the key components of a computer system, including hardware, software, and peripheral devices.
3. To analyze the functions and importance of operating systems in managing resources and processes.
4. To understand computer networking concepts and evaluate networking technologies and services.
5. To develop knowledge of data backup strategies and disaster recovery methods for system reliability.
6. To diagnose and troubleshoot hardware, software, and networking issues using systematic approaches.

M-403: Database Management Systems

Introduction

This subject focuses on the principles, design, and management of relational and non-relational databases. Students will learn about data modeling, SQL, normalization, transactions, and database security.

Objectives

1. Understand the architecture and components of database systems.
2. Design Entity-Relationship models and normalize database schemas.
3. Execute SQL commands for data retrieval, manipulation, and administration.
4. Analyze transaction processing and concurrency control.
5. Implement security measures and backup strategies for databases.

M-404: Data Analytics

Introduction

This subject delves into the techniques and tools used to analyze structured and unstructured data. It introduces statistical analysis, predictive modeling, data visualization, and the use of analytical platforms like R, Python, or Excel.

Objectives

1. Understand the data analytics lifecycle and its applications.
2. Apply descriptive and inferential statistics to data.
3. Develop predictive models using machine learning algorithms.
4. Use visualization tools to communicate analytical insights.
5. Interpret business problems and solve them using data-driven approaches.

M-405: Information Security and Cyber security

Introduction

This subject introduces students to information security principles, risk assessment, and mitigation techniques. Topics include cybersecurity threats, encryption, access control, and compliance frameworks like ISO 27001.

Objectives

1. Identify security threats, vulnerabilities, and cyber-attack vectors.
2. Understand cryptographic techniques and data protection mechanisms.
3. Implement access control and authentication strategies.
4. Evaluate risk management and business continuity plans.
5. Explore legal, ethical, and compliance aspects of cybersecurity.

M-406: Cloud Computing

Introduction

This subject provides insights into cloud architecture, service models (IaaS, PaaS, SaaS), virtualization, deployment models, and cost management. Students will explore platforms like AWS, Azure, and Google Cloud.

Objectives

1. Understand cloud computing architecture and core components.
2. Compare different cloud service and deployment models.
3. Explore the use of virtual machines and containerization.
4. Evaluate cloud providers and develop deployment strategies.
5. Apply cloud-based solutions for scalability and cost-efficiency.

M-407: Business Intelligence and Data Warehousing

Introduction

This subject covers the design and implementation of data warehousing systems and BI tools that help businesses derive insights from large volumes of data. It includes ETL processes, OLAP, dashboards, and performance metrics.

Objectives

1. Understand the architecture of data warehouses and data marts.
2. Design ETL workflows for data integration and transformation.
3. Apply OLAP and data cube concepts for multidimensional analysis.
4. Use BI tools for developing dashboards and performance reports.
5. Analyze business performance using historical and real-time data.

M-408: Data Governance and Compliance

Introduction

This subject introduces students to the policies, standards, and processes that ensure effective data management. Topics include data stewardship, regulatory compliance (GDPR, HIPAA), metadata, and audit controls.

Objectives

1. Understand the principles and framework of data governance.
2. Develop policies for data quality, integrity, and stewardship.
3. Examine legal and regulatory compliance requirements.
4. Implement data lifecycle management and metadata strategies.
5. Assess audit trails and data accountability mechanisms.

M-409: Emerging Technologies and Trends

Introduction

This subject explores cutting-edge technologies such as blockchain, AI, IoT, edge computing, and quantum computing. Students will evaluate their applications, challenges, and the future of digital transformation.

Objectives

1. Explore the landscape of emerging IT technologies.
2. Understand the impact of AI, IoT, and blockchain on business models.
3. Evaluate real-world use cases of new technologies.
4. Analyze ethical and security implications of emerging tech.
5. Develop strategic thinking for technology adoption and innovation.

M-410: Digital Transformation and Sustainability

Introduction

Digital Transformation and Sustainability explores the intersection of technology-driven innovation and sustainable business practices. The subject equips learners with insights into how organizations can leverage digital technologies to redefine strategies, optimize systems, and drive sustainable growth. It focuses on corporate strategy alignment, enterprise system adoption, leadership decision-making, and the integration of sustainable infrastructures. Students will also examine the emerging role of digital leadership in guiding transformation while ensuring environmental and social responsibility. By bridging digitalization with sustainability, this course prepares learners to lead organizations toward resilience, efficiency, and long-term value creation.

Objectives

1. To introduce the concepts, scope, and significance of digital transformation and sustainability in modern business.
2. To analyze how digitalization impacts corporate strategies and value creation.
3. To evaluate enterprise systems and their role in enabling digital transformation across industries.
4. To assess the influence of digital technologies on leadership decision-making and governance.
5. To explore sustainable infrastructure design and its role in ensuring long-term digital resilience.
6. To develop leadership competencies required to manage digital sustainability initiatives effectively.

M-411: Action Research Paper [18 ECT] 

Accreditation & Recognition EIU-Paris :

ASIC-UK  (Accreditation)
The University has earned Premier status with Accreditation Service for International Schools, Colleges and Universities (ASIC) for its commendable areas of operation.

ACBSP (Program Accreditation & Professional Member)
The Accreditation Council for Business Schools and Programs (ACBSP), US based CHEA recognised Accreditation body has approved EIU’s application for Candidacy for Programme Accreditation.

BGA (Member)
The Business Graduates Association (BGA) is an international membership and quality assurance body of world-leading and high-potential Business Schools.

ECBE (Member)
ECBE is a prestigious international accreditation agency who recognizes EIU’s endeavor in providing high-quality education in vocation-focused and job skills specific programmes and qualifications. 

CIA (Member)
EIU intends to collaborate with Cambridge International in such initiative as Publishing in Partnership (PiP Model), Research Acceleration, Scholarly Dissemination, and Training Implementation.

ATHEA (Member)
Being a member is to operate as a tertiary educational institution, focusing on programme of higher education, be in existence for at least 1 year, and offer and teach their own institution’s programmes.

Course overview:

• Course Level-7
• Total Modules [Subject]: 10
• Every Module has 7 Units
• Total Units: 70
• Total ECT: 108 [Subject wise 10*9=90 + ARP: 18]
• Study Mode: Self-Paced Learning System (Online-Distance Learning)
• Duration: One (01) year. There is an additional 6 months opportunity if there is  any exceptions.
• Assignment: Each Unit has 01 (One) Final Assignment.
• Action Research paper: One Action Research Paper Needs to be submitted.

Required Documents for Admission:

• Education Certificates.
• Latest CV/Resume.
• Personal Statement (500 words).
• Passport Copy.
• Passport Size Photo (jpg. format).
• Reference Letters.

Grading Systems:

Pass:

• Higher Distinction: 90-100%
• Distinction: 80-89%
• First Division: 70-79%
• Second Division: 60-69%
• Satisfactory: 50-59%

Fail:

• Unsatisfactory: 49% and Below.

Q: What is the self-paced Master's programme, and how does it work?
A: Our self-paced Master's programme is designed to provide participants with the flexibility to complete their degree at their own pace, anytime and anywhere. Participants will have access to our online learning platform, where they can complete coursework & interact with instructors. With no fixed lecture schedule, participants can manage their time effectively to balance work, personal, and academic commitments.

Q: What are the benefits of a self-paced Master's programme?
A: Our self-paced program offers numerous benefits, including flexibility, convenience, and personalized learning. Participants can accelerate or decelerate their pace according to their needs, allowing them to manage their time effectively and achieve their academic goals.

Q: How long does it take to complete the self-paced Master's programme?
A: The duration of the program is 01 (One) year. Depending on individual circumstances participant can take additional 06 (Six) months to complete the program. 

Q: Are there any prerequisites for admission to the self-paced Master's programme?
A: Yes, applicants must hold a bachelor's degree from an accredited institution and meet the program's specific admission requirements, which may include reference letters, a personal statement, personal identification.

Q: How will I be assessed in this programme?
A: The assessment is based on assignments and research paper only. There will be no exams.

Q: How do I interact with instructors in a self-paced programme?
A: Our online learning platform provides various tools for participants to interact with instructors, including discussion about the subject matter and usually the reply is given within 24-48hrs.

Q: Is the self-paced Master's programme globally recognized?
A: The Master's programme is validated (audited, quality controlled and quality assured) by our academic partner universities.

Q: Do I have any advantage if I apply for a 2nd Masters?
A: Yes, There will be a special discount available when applied for a second master’s programme.  

Q: What kind of technical support is available for the online platform?
A: Our technical support team is available 24/7 to assist with any technical issues or concerns. Participants can contact us via email, phone, or live chat for prompt support.

Q: Are there any scholarships available for the self-paced Master's programme?
A: Yes, we are offering partial scholarships to help make our programme more affordable. Please visit our website or contact our representative to know more.

We hope this FAQ helps! If you have any further questions, please don't hesitate to reach out to our admissions team.