Entry points, 1st year, Common Courses
Academic year 2025/2026
Riga Technical University
Academic Coordinator: Marite Kirikova, marite.kirikova@rtu.lv
FIRST SEMESTER
| Courses | ECTS |
| Enterprise Architecture and Requirements Engineering | 6 |
| Systems Theory | 6 |
| Advanced Data Technologies | 6 |
| Enterprise Information Technology Architecture, Applications, and Integration | 6 |
| Network Security Requirements | 3 |
| Elective | 3 |
SECOND SEMESTER
| Courses | ECTS |
| Business Process Management and Engineering | 6 |
| Portfolio Management Technologies | 6 |
| e-Business Solutions | 6 |
| FinTech choice of Specific Software Applications study courses | 6 |
| FinTech choice of Humanities and Social Sciences study courses | 6 |
Exit points, 2nd year, Specialisation
Academic year 2026/2027
University of Rennes
Academic Coordinator: Alvaro Pina Stranger, alvaro.pina-stranger@univ-rennes.fr
SPECIALISATION: Fintech based on Data Management
The University of Rennes will provide specialisation content oriented to advanced data management, using scalable data analytics methods and techniques. Some of these techniques are distributed data management, distributed and parallel query processing, NoSQL technologies, NewSQL technologies, complex event processing, scalable data management ecosystems, cloud infrastructure, specifically, computing and storage, and elastic management. The exit year specialisation at Rennes 1 can be addressed from two perspectives: on the one hand, students can adopt a stand towards social impact, this is, bearing in mind that Fintech applications may have a positive impact on society, especially, by democratising financial knowledge and granting access to a wide array of financial tools. On the other hand, students can adopt a stand towards financials, specifically, through the use of Bloomberg's specialised services, which remain at the cutting edge of innovation by delivering fast access to indispensable news, data and trading tools.
THIRD SEMESTER
| Courses | ECTS |
| I&E Study on Fintech | 6 |
| Fintech Project | 4 |
| Data Mining | 5 |
| Machine Learning 2 | 5 |
| Dataware Houses | 3 |
| Cloud and Big Data Management | 3 |
FOURTH SEMESTER
| Courses | ECTS |
| Master Thesis | 30 |
