Master of Science in Information Technology and Data Science (MSITDS)

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EUR € 1,500

One-time or Installment Payments

Awarding Institution

European International University – Paris (EIU–Paris)

Degree Type

EIU–Paris Institutional Degree

Mode of Delivery

100% Online | Modular | Self-Paced | Asynchronous

Admission

Open Year-Round

Language of Instruction

English

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The Master of Science in Information Technology and Data Science (MSITDS) is a future-focused postgraduate degree designed for IT professionals, data analysts, and technologists aiming to deepen their technical expertise while mastering the practical applications of data science and digital transformation.

Delivered entirely online, the programme combines academic theory, industry-relevant content, and application-based learning to prepare graduates for roles in data analysis, software development, big data, cloud computing, and AI-powered systems across various industries.

Programme Structure

Total Duration

12–18 Months (depending on study route)
Total Credits

90 ECTS
Total Modules

8 Core Modules + 1 Capstone Project or Internship

Programme Structure & Learning Model

The MSITDS programme follows a research-supported, application-oriented learning model that includes asynchronous resources, practical assessments, and a final project.

Students are expected to:
1. Engage with curated asynchronous learning materials provided for each module.
2. Complete a final Application-Oriented Assignment (AOA) of 3,500 to 4,000 words per module, integrating theory with real-world problem-solving.
3. Participate in hands-on project work, simulation, or performance-based tasks for each course.
4. Complete a final 5,000-word Capstone Project or Internship Report that demonstrates the ability to apply data science and IT concepts to actual business or technical problems.

Note: Students are required to complete a practical project paper, assignment, or performance-based task at the end of each course to creatively apply knowledge and skills to solve real-world challenges in IT and data science.

Modules

Each core module is worth 7.5 ECTS, and the Capstone Project or Internship is worth 30 ECTS:

1. ITDS420 – Data Structures and Algorithms
2. ITDS440 – Statistical Analysis for Data Science
3. ITDS460 – Data Analytics and Visualization
4. ITDS520 – Big Data Technologies and Analytics
5. ITDS540 – Machine Learning and Artificial Intelligence
6. ITDS620 – Programming Languages and Software Development
7. ITDS640 – Cloud Computing and Distributed Systems
8. ITDS660 – Ethical and Legal Issues Related to Data Science
9. ITDS680 – Capstone Project or Internship in IT and Data Science (30 ECTS)

Assessment Method

• Each module is assessed through an Application-Oriented Assignment (AOA) of 3,500 to 4,000 words.
• Assignments are designed to assess:
• Practical understanding of IT and data science concepts
• Technical problem-solving skills
• Real-world applicability of theoretical frameworks
• The Capstone Project or Internship Report (5,000 words) allows students to synthesize and apply learned skills to a substantial, industry-relevant challenge.

There are no exams or oral defenses required under this programme.

Learning Platform: EIU–Paris LMS

All learning activities, submission forms, and feedback are managed via the EIU–Paris LMS, a secure and intuitive platform offering:

Study Routes Available

1. Regular Route
Suitable for steady, structured learners

Total Duration

12–18 months (self-paced)
Tuition Fee

€1,250 (one-time payment)
Payment Terms

Installment options available

2. Fast-Track / Accelerated Route

3.VAE Route (Validation des Acquis de l’Expérience)

Entry Requirements

Applicants must meet one of the following:

•Hold a recognized Bachelor’s degree in IT, computer science, engineering, or a related field, or

•Possess a Level 7 Postgraduate Diploma in a technology-related area, and

•Have 1–2 years of relevant work experience (internships may be accepted)

Mature Entry Route:

Minimum 9 years of experience in IT, software development, or data science roles (evaluated case-by-case).

English Language Proficiency

•No test required if previous education was in English

•Others may submit IELTS/TOEFL or take the EIU–Paris in-house English test

Technical Requirements

•Basic computer and internet literacy

•Access to a laptop or desktop and a stable internet connection

Learning Outcomes

Upon successful completion, graduates will be able to:

– Apply advanced programming, analytics, and big data solutions
– Use AI, ML, and visualization tools to derive actionable insights
– Develop and manage databases and cloud-based IT systems
– Uphold ethical and legal standards in data management
– Lead digital transformation initiatives in public and private sectors

Tuition Fee Structure

One-time full payment:

€1,500
3 Installments

€600 × 3 = €1,800
6 Installments

€350 × 6 = €2,100

Installments are paid monthly until completion. Fees for graduation, degree attestation, and DHL shipment of original documents are billed separately.

Who Should Apply?

This programme is ideal for:

Aspiring data scientists and AI specialists
IT professionals looking to formalize their academic credentials
Developers and software engineers seeking career growth
Analysts and project managers transitioning to data-driven roles
Candidates pursuing fast-track or VAE recognition pathways

Awarding Institution

European International University – Paris (EIU–Paris) is a private higher education institution officially listed in France’s Ministry of National Education database under UAI Code: 0756213W. All degrees are conferred under French legal authority in accordance with the French Education Code (L444-1 to L444-11).

Global Recognition & Accreditation

EIU–Paris is internationally acknowledged for academic excellence and innovation

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