Master's Program in Digital Humanities
An interdisciplinary Master's program combining data science, machine learning, and digital culture at EPFL.
Best for:Best for students with a background in engineering or science seeking to apply computational methods to cultural and social data.
Overview
The Master of Science in Digital Humanities at École Polytechnique Fédérale de Lausanne (EPFL) provides an interdisciplinary curriculum focused on data acquisition, analysis, machine learning, and visualization applied to cultural, historical, and social media corpora. Students explore the intersection of modern computational techniques and the humanities, gaining practical skills in handling complex digital datasets. The program spans 120 ECTS credits and is situated within the College of Humanities. Applicants are expected to engage with rigorous technical coursework alongside humanistic inquiry.
What you'll do
- Complete 120 ECTS credits of interdisciplinary coursework and project work
- Acquire, organize, and analyze cultural, historical, and social media datasets
- Apply machine learning, pattern recognition, and audio/image processing techniques to humanities corpora
- Develop data visualization tools and methodologies for digital culture research
Requirements
Degree required: Bachelor's degree or equivalent in a relevant field
Degree offered: Master of Science (MSc)
Language: English
Instruction: English
- Foundational knowledge in mathematics, computer science, or engineering
- Interest in interdisciplinary research bridging technology and the humanities
- Analytical and quantitative problem-solving skills
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: March 31
Applications must be submitted online through the official EPFL master's application portal before the stated deadlines. Ensure all required academic transcripts and supporting documents are uploaded correctly.
- CV
- Bachelor's degree transcripts
- Cover letter
- Identity document
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.