Training and Teaching
This is an overview of the state of digital humanities and computational social sciences education in Finland, including links to relevant programmes and courses at the doctoral, master’s, and bachelor’s levels. In addition, we link to selected international resources.
University of Eastern Finland
Master’s level
Master’s Degree Programme in Linguistic Data Sciences 
This Master’s degree programme, taught entirely in English, provides an opportunity to study language in today’s digitalized society from a variety of perspectives: 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, language technology) that offer various areas of specialization for the students.
Master’s level
Digital Methods in Variationist Research
Methodological issues and practices in corpus linguistics, that is, data collection, structure and form of data, automatic and manual annotation, mathematical modelling, qualitative and quantitative analysis in corpus linguistics, with a special focus on some fields of variationist research (e.g. areal linguistics, World Englishes, diachronic change, Big Data approaches).
Master’s level, Bachelor’s level
University of Helsinki
Doctoral level
Digital Humanities Research Seminar
Established in 2015. Offered every year both in the autumn and the spring.
Doctoral level
Master’s level
Master’s Programme in Linguistic Diversity and Digital Humanities
An interdisciplinary programme that combines five fields of study: cognitive science, digital humanities, general linguistics, language technology, and phonetics.
Master’s level
Bachelor’s level
Introduction to Digital Humanities and Social Sciences
This is an introductory course that will give you a wide overview of different approaches to digital humanities and social sciences at the University of Helsinki across faculty borders. During the course, students will become familiar with the basic concepts and approaches of digital humanities and social sciences.
Bachelor’s level
Varied levels
This website hosts the learning materials for a massive open online course (MOOC) created by the University of Helsinki. The MOOC is intended to provide an introduction to applied language technology for audiences who are unfamiliar with language technology and programming.
Helsinki digital humanities hackathon (DHH) 
The Helsinki Digital Humanities Hackathon is a chance to experience an interdisciplinary research project from start to finish within the span of 10 days. For researchers and students from computer science and data science, the hackathon gives the opportunity to test their abstract knowledge against complex real-life problems. For people from the humanities and social sciences, it shows what is possible to achieve with such collaboration. The Hackathon admits a limited number of applicants each Spring, 5 ECTS can be gained by students at the University of Helsinki and other universities.
Master’s level; Doctoral level
The Methodological unit at the Helsinki Institute for Humanities and Social Sciences (Uni Helsinki) organizes a recurrent Brown Bag Seminar to highlight novel methodological approaches in humanities and social sciences. The idea of the meetings is to introduce methodological innovations and cutting-edge research in various disciplines in an easily accessible manner and have an interdisciplinary discussion in an easy-going atmosphere over lunch.
There will be a 20-minute introduction to the methodological theme, followed by an open discussion of 40 minutes. The seminars are open to everybody and welcome a multidisciplinary and methodologically curious audience. The language of the meetings can be Finnish or English.
This is a hybrid event taking place at the University of Helsinki, Fabianinkatu 24 A, 5th floor. For remote participation use this link
Dates for Spring 2026 (subject to updates)
4.2.2026 Salla-Maaria Laaksonen & Erjon Skenderi “Raising a bot: Developing communicative AIs for group discussions”
11.2.2026 Adeline Clarke “Unsupervised methods for image clustering do not yet replace the social scientists’ gaze”
1.4.2026 Henri Schildt (Aalto University) “Qualitative research and AI: From automating coding to augmenting collaboration
Read more about the presenters and abstracts on the event site: https://www.helsinki.fi/en/helsinki-institute-social-sciences-and-humanities/events/brown-bag-seminar
University of Jyväskylä
Doctoral level
In this course we explore the digital realm that is applied to humanities. We get familiar with the practical side of digital humanities – from creating and obtaining digital datasets to hands-on exercises using various digital methods and tools that are designed for conducting qualitative data analysis.
Doctoral level
Master’s level
Bachelor’s level
The current state and future of archive material digitisation, archiving electronic material and digitising paper material, key systems and arrangements, digitisation of processes and their management, digitisation of official/public and private/personal sources, standards for electronic documents.
Bachelor’s level
University of Oulu
Master’s/Bachelor’s level
Digital Humanities Minor programme
Digital Humanities aim at developing a broad understanding of the cultural, historical, and social aspects of current digital humanities research. Interdisciplinary collaboration, critical thinking, innovation and practice-based digital skills will be emphasized in the studies. The studies provide students with computer-aided research methods but it also employ traditional humanistic skills to analyse digital data and contemporary digital culture.
Bachelor’s level, Master’s level
Bachelor’s level
Studies in Information Processing Science
Module offered within the Information Studies BA.
Bachelor’s level
Course focused on methods for the collection, manipulation and analysis of digital data; offered within the English BA. Topics may include text markup, encoding and analysis; online tools for the analysis of literary/linguistic/cultural data; basic programming for tasks pertaining to text manipulation and analysis; corpus linguistics, lexical statistics and some of their applications; digitization of cultural heritage; access and use of online editions; and data visualization and presentation.
Bachelor’s level
Tampere University
Master’s/Bachelor’s level
Digital Libraries and Open Science
The course literature includes types and tasks of digital libraries, both in the non-profit and commercial sectors. Other topics of the course are open science, open data and data archives.
Bachelor’s level, Master’s level
Statistical Methods for Text Data Analysis
This course teaches various statistical methods for modeling and analysing text data. Contents are planned to include models for representing text including vector space models and neural embedding models; document content processing stages such as lemmatization and keyphrase extraction; probabilistic models of content variation including n-grams and topic models; neural models of text; and methods for various text analysis tasks.
Bachelor’s level, Master’s level
Information Search and Generation with Large Language Models
Information retrieval, matching and generation, large language models, query construction and prompt engineering techniques, retrieval-augmented generation, collaborative topic creation and fine-tuning, evaluating information retrieval and generation.
Bachelor’s level; Master’s level
Fine-tuning Large Language Models (LLM)
This course provides a detailed exploration into the practical application, ethical considerations, and open-source landscape of fine-tuning large language models (LLMs) for students with basic programming skills.
Bachelor’s level; Master’s level
Doctoral level
Digital humanities and social sciences
The course introduces a number of current digital methodologies for different types of Humanities- and Social sciences research, suitable for PhD level research.
Doctoral level
Computational Methods in Research on Social, Political, and Economic Issues
The course examines the ongoing computational turn in social, political, and economic sciences.
Doctoral level
University of Turku
Doctoral level
Doctoral Programme in Languages and Translation Studies (Utuling)
The doctoral researchers’ areas of research belong to linguistic, translation and literary scholarship and to other humanistic studies, and their approach is often multi- or cross-disciplinary.
Doctoral level
Master’s level
Master’s Degree Programme in Information and Communication Technology: Data Analytics
The Master’s Degree Programme in Information and Communication Technology provides versatile and high quality ICT education in selected fields of ICT, with an established reputation in innovative, interdisciplinary, and international education.
Master’s level
Master’s Degree in Digital Linguistics
Digital language studies is a multidisciplinary field of research that examines language use in a digital environment and combines methods from linguistics and natural language processing (NLP). A Master’s Degree in Digital linguistics can be obtained from the Language Specialist Degree Programme offered by the School of Languages and Translation Studies.
Master’s level
Bachelor’s level
Introduction to Digital Humanities
(Course in Finnish) Opintojakso tarjoaa monipuolisen yleiskatsauksen digitaalisiin ihmistieteisiin ja sen eri osa-alueisiin. Erityisesti tarkastellaan digitaalisuuden merkitystä ja vaikutusta humanistisessa tutkimuksessa, ja esitellään sekä kvalitatiivisia että kvantitatiivisia menetelmiä, joilla digitaalisuutta ja digitaalista aineistoa voidaan lähestyä. Käsiteltäviä teemoja, työvälineitä ja menetelmiä ovat esimerkiksi tekstinlouhinta, verkosto-analyysi, datan visualisointi, digitaalinen vuorovaikutus ja tietokoneavusteinen tekijäntunnistus.
Bachelor’s level
Digital Humanities for Literary Studies
(Course in Finnish) Opiskelija perehtyy kirjallisuudentutkimukseen liittyviin digitaalisiin ihmistieteisiin teoreettisesti ja tutkimusartikkelien perusteella.
Bachelor’s level
CSC – IT Center for Science
Varied levels
The course is divided into six sections: 1) Introduction, 2) Data Management Planing, 3) Data Collection, Documentation and Organization, 4) Computing, Analysing and Storing during the project, 5) Sharing, Publishing and Preserving data, and 6) Discover and Reuse data. The material consists of text, videos, and slides. At the end of each section there is a quiz where you can test your skills.
Doctoral level, Master’s level
This online course consists of 10 topics focusing on using the CSC High Performance Computing environment, which has been tailored for researchers to be easy and efficient for scientific use. The CSC services (Puhti, Allas…) discussed in this course are free-of-charge for academic research, education and training purposes in Finnish higher education institutions and in state research institutes (subsidized by the Ministry of Education and Culture, Finland)..
Doctoral level, Master’s level
You will learn the fundamentals of supercomputers and high performance computing, the essential vocabulary needed to understand what supercomputing really is all about, and what is needed to understand how supercomputers used. By the end of the course, you will have the theoretical knowledge needed to explain the basic principles of a supercomputer and high performance computing. We’ll also take a look at some real-life examples and practical use cases of these amazing machines.
Doctoral level, Master’s level
Teaching structured through one course on how to use the Language Bank of Finland and its resources with the support of the CSC environment.
This website hosts the learning materials for a massive open online course (MOOC) created by the University of Helsinki. The MOOC is intended to provide an introduction to applied language technology for audiences who are unfamiliar with language technology and programming.
Language Bank of Finland
Varied levels
Introduction to Speech Analysis
The main goal of the course is to provide students with basic tools for studying speech samples. The course provides an overview of the processing of speech data and acoustic-phonetic analysis methods of speech. The course will introduce students to the possibilities of using the Praat speech analysis program and learn how to flexibly apply the program’s features in their own work. The course will also teach students how to use the ELAN program, which can transcribe and annotate audio as well as video. In addition, they will experiment with an automatic speech recognizer.
Master’s level
Corpus Linguistics and Statistical Methods
You will understand what corpora are and how they can be used for solving small questions concerning language use, for example in language teaching and learning, or in translation.
Bachelor’s level
This course aims to provide support, tips and guidance for the technical and practical issues that tend to turn up during language data handling, processing and analysis.
Doctoral level, Master’s level
Teaching structured through one course on how to use the Language Bank of Finland and its resources with the support of the CSC environment.
International resources
Digital Humanities Course Registry
The Digital Humanities Course Registry is a curated platform that provides an overview of the growing range of teaching activities in the field of digital humanities worldwide. The platform is a joint effort of two European research infrastructures:
CLARIN-ERIC and DARIAH-EU.
DARIAH-Campus is a discovery framework and a hosting platform for DARIAH and DARIAH-affiliated offerings in training and education.
Programming Historian publishes novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching.
The Carpentries teaches foundational coding and data science skills to researchers worldwide.