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University of Eastern Finland Master in Linguistic Data Sciences

University of Eastern Finland

Master in Linguistic Data Sciences

Joensuu, Finland

Master degree

2 years

English

Full time

Request application deadline

Sep 2026

EUR 10,000 / per year *

On-Campus

* Please note that details regarding tuition fees, tuition waivers, and scholarships for the 2025 intake will be available on the program's website.

Key Summary

    About : The Master in Linguistic Data Sciences focuses on integrating linguistic insights with data science techniques. The program covers areas such as computational linguistics, machine learning, and data analysis. Students will engage in projects that involve real-world data, applying their skills to extract and interpret information meaningfully. The course typically spans one to two years, depending on the study mode.
    Career Outcomes : Graduates may find opportunities in various fields, including data analysis, computational linguistics, and artificial intelligence. Roles may involve working as a data scientist, language technology developer, or research analyst in tech companies, academic institutions, or governmental organizations.

Introduction

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.

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