Università Cattolica del Sacro Cuore
MSc in Linguistic Computing
Milan, Italy
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
24 Jun 2026*
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 9,370 / per year **
STUDY FORMAT
On-Campus
* 5 May 2026 for non-EU students | 24 June 2026 for EU students
** non-EU residents | €6,850 for EU residents per year
Key Summary
The educational objective of the degree program in Linguistic Computing is to provide students with the understanding of the following competencies, knowledge, and skills:
- In-depth knowledge of theoretical, methodological, and application aspects related to automatic language processing
- Ability to manage, structure, and distribute large linguistic datasets and metadata to support the automatic analysis of their semantic content
- Ability to acquire the methodologies and skills necessary for positions of responsibility in the areas of marketing, communication, and operational innovation in companies and institutions characterized by new digital business models
- Competence in at least two major European or non-European languages.
UCSC International Scholarship available to non-EU residents. If they get the scholarship, the yearly tuition fee is € 6,400.
Total ECTS: 120
First-Year
- Computational Linguistics 1
- Fundamentals of Computer Science for Linguistics
- Project and Change Management
- English Language for Linguistic Computing
- Computational Linguistics 2
- Formal Methods and Models for Computational Linguistics
- One Elective course among
- Semantic Fundamentals for Natural Language Processing
- Terminological Resources
Second year
- The Language I - Language and Phonology / Communicative Strategies*
- Curriculum in Humanities:
- Natural Language Processing for Social Media
- Digital Tools for the Humanities
- Curriculum in Business:
- Artificial Intelligence and Natural Language Processing for Decision Making
- Customer Behavior and Semantic Web
- One elective course among the following:
- Speech Analysis
- Linguistic Linked Open Data and Semantic Web
- Theory and Method of Linguistic Annotation
- Computational Philology and Digital Editing
- Internship, or one elective course among the following:
- Issues of Theoretical Linguistics in Natural Language Processing and Computational Linguistics
- Advanced Python for Linguistics
- Data Structures and Database Systems Concepts
- Master Final Dissertation
* Courses of ‘Language I - Language and Phonology’ are for beginners and concern the following languages: French, Spanish, and German. Courses on ‘Communicative Strategies’ are for students with advanced language knowledge. Courses concern the following languages: French, Spanish, German, Arabic, Russian, and Chinese. All courses are given in the language taught.
Degree Awarded: Laurea Magistrale in Linguistic Computing
Graduates in Linguistic Computing will develop the necessary knowledge, competencies, and skills to operate in the following areas:
- Natural language processing
- Automatic analysis of Big Data in digital format
- Digital transformation
- Project management and customer interaction via Natural Language Processing tools
- Retrieval, extraction, production, and management of information on the web
Among other professions, the degree program trains graduates to become:
- Expert in automatic processing of linguistic data
This figure has the function of organizing, coordinating, and operating activities of automatic processing and distribution on digital platforms of written and oral linguistic (meta) data.
The tasks of this figure include the conception and management of projects involving the automatic computational analysis of information conveyed via the linguistic medium.
This job profile can be associated with the following roles: computational linguist, digital knowledge manager, digital publishing expert, and digital library expert.
- Expert in content planning, production, and analysis for the Web
This figure has the function of supervising processes that require the planning, production, and/or analysis of content distributed and available via the Web, in particular, related to the Humanities.
The main distinctive competencies of this figure concern the ability to create and analyze data, both textual and multimedia, interconnected through ontologies already available or extended as needed for the Semantic Web.
- Expert in Customer Interaction & Experience
This figure has the function of supporting or managing business teams oriented towards improving the customer experience at all stages of the customer cycle (a commercial proposal, sales, subscription, after-sales services, etc.).
The main distinctive skills of this figure concern the ability to create and analyze interconnected data, both textual and multimedia, and to understand how to classify the needs and behavior of customers and the sales network.
Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!