Syllabus of Double Degree: Master of Science in Natural Language Processing

Course Syllabus

Explore the subjects and study units in the syllabus:

M1 NATURAL LANGUAGE PROCESSING

Subject Group Subject ECTS Lectures Seminars
Semester I
Computer Science Computer Science 1 5 24 36
Linguistics English 1 4 16 24
Information Engineering Semantic Analysis for NLP 1 5 24 36
Database 1 5 24 36
Introduction to Research 1 5 24 36
Professionals n/a 8 n/a
Research Thesis Research Thesis 1 6 n/a n/a
Semester II
Computer Science Computer Science 2 5 24 36
Python for NLP 1 5 24 36
Linguistics General Linguistics 1 5 24 36
Information Engineering Semantic Analysis for NLP 2 5 24 36
Introduction to Research 2 5 24 36
Research Thesis Research Thesis 2 3 n/a n/a
Internship 1 (May-July) 2 n/a n/a

M2 NATURAL LANGUAGE PROCESSING: COMPUTER AND LINGUISTIC PROCESSING OF WRITTEN DOCUMENTS

Subject Group Subject ECTS Lectures Seminars
Semester I
Computer Science Computer Science 3 4 21 32
Python for NLP 2 4 32 48
Linguistics General Linguistics 2 4 28 42
English 2 5 n/a 24
Information Engineering Corporate Management 3 12 18
Introduction to Research 3 4 24 36
Professionals n/a n/a n/a
Research Thesis Research Thesis 3 6 n/a n/a
Semester II
Computer Science Computer Science 4 6 21 32
Linguistics General Linguistics 3 6 28 42
Information Engineering Database 2 6 32 48
Project Writing 6 24 36
Research Thesis Thesis Defence 3 n/a n/a
Internship 2 (April-September) 3 n/a n/a