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Diploma

Earn your Master in Data Analytics

To earn the MDA – Fundamentals or the MDA – AI & NLP, students must accumulate 60 credits (ECTS) through the following components:

Coursework

45 ECTS

Students must successfully complete at least 45 ECTS from the Master’s courses. The program is organized into different areas, each offering modules with associated assessments (e.g., projects, homework, practical exercises). To earn ECTS students must pass the assessment for each course.

Thesis Project

10 ECTS

Students will complete a final thesis project under the supervision of a Master’s professor. The thesis topic must align with the content covered in the program modules. Alternatively, students may develop a software application, algorithm, or information system architecture. All thesis topics require approval from the supervising professor.

Internship/Stage

5 ECTS

A mandatory internship (Stage) is required. This typically involves thesis preparation under the guidance of a Master’s professor or practical experience gained through a company placement.

Examples

Earning a MDA – Fundamentals

TO EARN THE MASTER’S DIPLOMA, A STUDENT MUST SUCCESSFULLY COMPLETE ASSIGNMENTS TOTALING AT LEAST 45 ECTS, SELECTED FROM THE FOLLOWING 8 BRANCHES, EACH OFFERING ONE UNIQUE ASSIGNMENT.

    1. Advanced Coding (8 ECTS).
    2. Statistics (7 ECTS)
    3. Artificial Intelligence I (9 ECTS)
    4. Artificial Intelligence II (8 ECTS)
    5. Artificial Intelligence III (9 ECTS)
    6. CyberSecurity  (7 ECTS)
    7. CyberSecurity II (6 ECTS)
    8. Social Data and Natural Language Processing (10 ECTS)

    Internship/Stage (5 ECTS): Complete the mandatory internship.

    Thesis Project (10 ECTS): Complete a thesis project on an AI-related topic approved by the supervising professor.

    Earning a MDA – AI & NLP

    To earn the Master’s diploma, a student must successfully complete assignments totaling at least 45 ECTS, selected from three of the following branches:
    1. Artificial Intelligence  I (16 ECTS): Successfully complete the assignment in one of the Branch’s module.
    2. Artificial Intelligence  II & III (16 ECTS): Successfully complete the assignment in one of the Branch’s module.
    3. CyberSecurity I & II (12 ECTS): Successfully complete the assignment in one of the Branch’s module.
    4. Social Data and Natural Language Processing (19 ECTS): Successfully complete the assignment in one of the Branch’s module.

    Internship/Stage (5 ECTS): Complete the mandatory internship.

    Thesis Project (10 ECTS): Complete a thesis project on an AI-related topic approved by the supervising professor.