Program Overview for Text Mining in Netherlands:
The Language Consultancy and Linguistic Documentation specialisation is taught entirely in English. In this specialisation, you will learn to understand language systems, exploring the typological characteristics of languages and how you can classify languages into language families.
You will also learn to explain the differences and similarities between languages. With these skills, you can study and describe undescribed languages. The Text Mining specialisation is also taught entirely in English. In this specialisation, you will look at how to use computer systems to analyse linguistic data as efficiently as possible.
These are the international student eligibility for the Text Mining in Netherlands
Admission is based on a strict selection procedure.
The Faculty's Admission Board will decide upon your admission after having evaluated your complete online application. In order to gain admission to one of our Master's programmes, you will need to have at least a Bachelor's degree from an accredited research university including at least three full years of aEUROemic study amounting to a minimum of 180 ECTS or equivalent.
Additional admission requirements track Language Consultancy and Linguistic Documentation
Students are eligible for admission to the Language Consultancy and Linguistic Documentation programme with a Bachelor's degree in Linguistics after assessment by the Examination Board of your previous education. Students with a Bachelor's in a modern language, a Bachelor's in classics or in communication- and information science with a minimum of 60 ECTS in linguistic courses are also admissible. We will assess your previous education at course level to decide whether you have completed a sufficient number of linguistics courses. There is no pre-master programme available for this track.
Your suitability will be assessed on not only the basis of your previous education but also on your motivation for this specific programme. Be sure to elaborate on your interest in multimodal communication in particular.
Additional admission requirements track Text Mining
The track Text Mining is an interdisciplinary Master's programme and open for application to students with an aEUROemic Bachelor's Degree (or equivalent) in Linguistics, AI or Computer Science, but also for students from other aEUROemic Bachelor's programmes.
Students who do not have a Bachelor's degree in Linguistics, AI or Computer Science and wish to enrol, should have either knowledge and skills on the level of an introductory Bachelor's course in Linguistics or have solid skills in programming in Python. The linguistic knowledge, skills and insights can be acquired in, for instance, a course Introduction to Linguistics of an aEUROemic Bachelor's programme. For information or questions on how to meet the requirements, please contact the coordinator of Text Mining: Hennie van der Vliet (h.d.vander.vliet@vu.nl).
The Faculty's Admissions Board will review whether you meet the admission requirements. If you have an aEUROemic Bachelor's degree other than Linguistics, Computer Science or AI, the Admission Board will bring you into contact with the coordinator of the Master's programme Text Mining.
These are the domestic student eligibility for the Text Mining
Additional admission requirements track Language Consultancy and Linguistic Documentation
Direct admission to the Master's programme is possible for students with a Dutch Bachelor's degree in Linguistics. If you have a Dutch Bachelor degree in a modern language, communication- and information science or classics with a minimum of 60 ECTS in linguistic courses, you might also be admissible. Whether you are admitted is up to the Examination Board: their decision is based on assessment of the courses of your previous education. There is no pre-master programme available for this track.
Additional admission requirements track Text Mining
The track Text Mining is an interdisciplinary Master’s programme and open for application to students with an aEUROemic Bachelor's Degree (or equivalent) in Linguistics, AI or Computer Science, but also for students from other aEUROemic Bachelor's programmes.
Students who do not have a Bachelor’s degree in Linguistics, AI or Computer Science and wish to enrol, should have either knowledge and skills on the level of an introductory Bachelor’s course in Linguistics or have solid skills in programming in Python. The linguistic knowledge, skills and insights can be acquired in, for instance, a course Introduction to Linguistics of an aEUROemic Bachelor's programme.
These are the test eligibilities for the Text Mining to qualify.
The English Language Proficiency (ELP) requirements for Text Mining in Netherlands: are:
- TOEFL(ibt): 92
- IELTS(academic): 6.5
The international student tuition fees and costs for Text Mining in Netherlands.
| Items | Costs | ||||||
|---|---|---|---|---|---|---|---|
| Application Fees | €100.00 | ||||||
| Tuition Fees | €14,762.00 /year | ||||||
| Living Cost | €7,200.00/year (€650.00/month) |
||||||
| Student Earning | €7,680.00/year |
||||||
| You will earn €7,680.00/year by working 16hours * 4 Weeks* 12months* 10 euro/h + None at minimum wage of €10.00/hour. | |||||||
The domestic student tuition fees and costs for Text Mining in Netherlands.
| Items | Costs | ||||||
|---|---|---|---|---|---|---|---|
| Application Fees | €100.00 | ||||||
| Tuition Fees | €2,143.00 /year | ||||||
| Living Cost | €7,200.00/year (€650.00/month) |
||||||
| Student Earning | €7,680.00/year | ||||||
| This is just an estimate. You don't have any work hour limit. You will earn €7,680.00/year by working 16hours * 4 Weeks* 12months* 10 euro/h + None at minimum wage of €10.00/hour. | |||||||
Every international degree programme has its own International Student Advisor(s), also called ISAs, who are happy to help you during the application process. The ISA will be your main point of contact and can help with questions about the programme, admission requirements or the application procedure. Find your ISA
Program Information Inquiry
Please sign up to send email directly to universities.
