Specialisation
Course Code: SPEC
ECTS Credits: 30.0
Description
The Specialisation Project is a pivotal part of the third year. It empowers students to deepen their expertise in a specific professional role of their choosing—such as data scientist, data engineer, or analytics translator—through a team-based, client-driven project. This project marks a transition toward professional autonomy, as students take ownership of a real-world challenge and work toward a deployable solution in collaboration with industry partners.
This experience simulates working in an interdisciplinary data consultancy environment. Students are expected to define project goals, select tools and methods, and manage their own learning journey under the guidance of a mentor and subject-matter experts. It is both a technical and professional growth experience—blending open-ended problem solving, client engagement, and domain specialization.
Content
- Problem analysis
- Project scoping
- Consultancy skills
- Project management
- Risk management
- Business understanding
- Role-specific application
- Stakeholder management
- Data visualization
- Presentation skills
- Ethical and human-centered design
- Team collaboration
- Professional reflection
Prerequisites
Completion of foundational and intermediate courses in data science and AI (120 ECTS)