Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.
The field of linguistics seeks to connect sound to meaning as a form of communication. Students of linguistics typically study structure, syntax, phonology, and semantics. Graduates with a degree in linguistics work in diverse fields including writing, teaching, machine languages, and search engine design.
The formal higher education system of Finland is the 7-3-2-2 pattern. The university takes two years in vocational or technical education and finally two-year pre-tertiary education. Finland also has several public as well as private universities that have enabled accessibility of higher education to students.
Top Master Programs in Linguistics in Finland 2018/2019
This Master’s degree programme, taught entirely in English, seeks to provide an opportunity to study language, linguistics, language technology. [+]
MASTER IN LINGUISTIC DATA SCIENCES
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 programme focuses on the interfaces between languages and digitalization in today’s world.
This programme, 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 programme 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 programme to suit individual needs. Many of the courses utilize text and speech data mining and big data analytics.... [-]