Master in Linguistic Data Sciences
Joensuu, Finland
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
STUDY FORMAT
On-Campus
Key Summary
About: The Master in Linguistic Data Sciences at The University of Eastern Finland is an English-taught programme treating language as data in digitalization. Core empirical linguistics courses include syntax, phonetics, pragmatics, sociolinguistics, contact linguistics and translation studies and connect with computer science, data sciences and statistics. Many courses use text and speech data mining and big data analytics.
Career Outcomes: Graduates can work as data analyst, computational linguist, language technologist, corpus linguist, speech processing engineer or research associate in universities, tech companies, the public sector or NGOs. Data mining, programming and statistics prepare students for NLP, localization and digital humanities.
Language use and linguistic data are essential in various disciplines today and in all areas of our digitalized society. It is widely recognized that society needs people who understand language as data, who can work analytically and can analyze linguistic data systematically. This Master’s degree program focuses on the interfaces between languages and digitalization in today’s world.
This program, taught entirely in English, provides an opportunity to study language in today’s digitalized society from a variety of perspectives. These consist of sociolinguistics, language technology, and translation. The core of this program consists of a set of courses in empirical linguistics (syntax, phonetics, pragmatics, sociolinguistics, contact linguistics, translation studies) that offer various areas of specialization for the students. In addition, we cross disciplinary boundaries and collaborate with computer science as well as data sciences and statistics. This means that students are encouraged to choose from optional packages that be used to tailor the program to suit individual needs. Many of the courses utilize text and speech data mining and big data analytics.
