Curriculum 2025-2027
Semester 1
| Course | ECTS |
| Lexicology | 5 |
| Lexicography | 5 |
| Theories in Terminology | 10 |
| 1 of the following electives | |
| – Social Study of Artificial Intelligence | 10 |
| – Research Data Management and Curation | 10 |
| – Standards for Representing Lexicographic and Terminological Data | 10 |
| Total | 30 |
OR
| Course | ECTS |
| Computational Linguistics 1 | 8 |
| Digital Tools to the Humanities | 8 |
| English Language for Linguistic Computing | 6 |
| 1 of the following electives | |
| –Fundamentals of Computer Science for Linguistics | 8 |
| – Theory and method of linguistic annotation | 8 |
| Total | 30 |
Semester 2
| Course | ECTS |
| Computational Semantics | 5 |
| Language Models | 5 |
| Natural Language Processing | 5 |
| Speech Processing | 5 |
| Machine learning and deep learning | 5 |
| 1 of the following electives | |
| – Corpus Linguistics | 5 |
| – Text Analytics | 5 |
| – Advanced Topics in Linguistics | 5 |
| Total | 30 |
Semester 3
| Course | ECTS |
| Datathon in Linguistic Linked Data | 6 |
| Advanced Topics in Linguistic Data Science | 6 |
| Advanced Topics in Data Sciences | 6 |
| Project and Change Management | 8 |
| Orientation Seminar (with supervisor) | 4 |
| Total | 30 |
Semester 4
University chosen based on student’s preference
| Students select one of the following modalities | ECTS |
| Dissertation | 30 |
| Internship + Report | 30 |
| Project | 30 |