Assessment & Evaluation

• Module Assessments: Each module is assessed through an Application-Oriented Assignment (AOA) of 3,500–4,000 words.

  • These assignments evaluate:

    • Practical understanding of IT and data science concepts

    • Technical problem-solving skills

    • Real-world applicability of theoretical frameworks

• Capstone Project / Internship: A 5,000-word report allows students to synthesize and apply learned skills to a substantial, industry-relevant challenge.

• Exams & Oral Defenses: There are no written exams or live oral defenses required for this programme.

1. ITDS420 – Data Structures and Algorithms
Build a solid foundation in algorithm design and efficient data handling for real-world computing problems.

2. ITDS440 – Statistical Analysis for Data Science
Learn essential statistical concepts and techniques used to interpret and analyze complex datasets.

3. ITDS460 – Data Analytics and Visualization
Develop skills in data interpretation, dashboard creation, and transforming raw data into meaningful insights.

4. ITDS520 – Big Data Technologies and Analytics
Explore large-scale data processing tools and platforms used in modern data-driven organisations.

5. ITDS540 – Machine Learning and Artificial Intelligence
Understand key ML and AI concepts, model building, and applications across various industries.

6. ITDS620 – Programming Languages and Software Development
Gain hands-on experience with multiple programming languages and modern software development practices.

7. ITDS640 – Cloud Computing and Distributed Systems
Study cloud architectures, deployment models, and distributed computing solutions used globally.

8. ITDS660 – Ethical and Legal Issues Related to Data Science
Examine the ethical, privacy, and regulatory challenges surrounding data collection and AI systems.

9. ITDS680 – Capstone Project or Internship in IT and Data Science (30 Credits)
Apply your learning through a real-world project or industry internship focused on solving practical IT and data challenges.

Graduate Outcomes

Upon successful completion of the BSITDS Top-up Programme, graduates will be able to:

1. Apply advanced IT and data science techniques – Solve real-world problems using programming, analytics, and big data solutions.

2. Leverage AI, ML, and data visualization tools – Derive actionable insights from complex datasets.

3. Design and manage IT systems – Develop scalable databases and cloud-based solutions for organizations.

4. Maintain ethical and legal standards – Ensure responsible data handling and compliance in all projects.

5. Lead digital transformation initiatives – Drive innovation in both public and private sector environments.

1. Eligibility & Entry Requirements

   Applicants must meet one of the following criteria:

   • Bachelor’s Degree Route:
     Hold a recognized bachelor’s degree in IT, computer science, engineering, or a related field.

   • Postgraduate Diploma Route:
     Possess a Level 7 Postgraduate Diploma in a technology-related area, with 1–2 years of relevant work experience (internships may be considered).

   • Mature Entry Route:
     Minimum 9 years of verifiable experience in IT, software development, or data science roles. Applications are evaluated case-by-case.

   English Language Proficiency

   • Waived if prior education was conducted in English.

   • Otherwise, applicants may submit IELTS/TOEFL scores or take the EIU–Paris in-house English test.

   Technical Requirements

   • Basic computer and internet literacy.

   • Access to a laptop or desktop computer with a stable internet connection.

• Program Duration & Study Routes

  1. Regular Route

  • Ideal for steady, structured learners

  • Duration: 12–18 months (self-paced)

  • Tuition Fee: €1,250 (one-time payment)

  • Payment Terms: Installment options available

  2. Fast-Track / Accelerated Route

  • Designed for high-performing, motivated professionals

  • Duration: Completion possible in under 12 months

  • Support Contact: +33 6 13 92 62 64

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

  • Recognizes prior learning and professional experience

  • Coursework: Not required; assessed via portfolio submission

  • Duration: Completion in 3–6 weeks

  • Support Contact: +33 6 13 92 62 64

• Tuition & Payment Options

  One-time Full Payment:

  • €1,500

  Installment Plans:

  • 3 Installments: €600 × 3 = €1,800

  • 6 Installments: €350 × 6 = €2,100

  Notes:

  • Installments are paid monthly until completion.

  • Fees for graduation, degree attestation, and DHL shipment of original documents are billed separately.

1. Who This Programme is Ideal For

   • Aspiring data scientists and AI specialists

   • IT professionals seeking to formalize their academic credentials

   • Developers and software engineers aiming for career growth

   • Analysts and project managers transitioning to data-driven roles

   • Candidates pursuing fast-track or VAE recognition pathways

Western Global University is a private higher education institution recognized under applicable national higher education regulations. All degrees are conferred under the university’s legal authority, in full compliance with accreditation and quality assurance standards relevant to its jurisdiction.