Computational Social Sciences (LUMACSS)
A multidisciplinary master's program integrating social sciences and computational methods.
Best for:Best for students passionate about integrating social sciences with computational analysis.
Overview
The Lucerne Master in Computational Social Sciences (LUMACSS) offers a comprehensive curriculum that merges various disciplines, including economics, political science, sociology, law, history, and computational sciences. This program emphasizes the development of statistical and computational techniques, preparing students for advanced research and practical applications. Students will complete a total of 120 ECTS credits, culminating in a master's thesis and its defense. The program is designed for those interested in exploring the intersection of social sciences and technology.
What you'll do
- Engage in coursework across multiple disciplines including economics and sociology.
- Develop statistical and computational methods applicable to social science research.
- Complete a master's thesis that demonstrates mastery of the subject matter.
- Participate in the defense of the master's thesis.
Requirements
Degree required: Bachelor's degree in a relevant field
Degree offered: Master of Arts in Computational Social Sciences
Language: German and English; proficiency in both languages required
Instruction: German and English
- Strong analytical skills
- Proficiency in statistical software
- Ability to conduct interdisciplinary research
- Open to all nationalities
- Bachelor's degree or equivalent required
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
- Not confirmed by the source
- 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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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: Herbstsemester: 30.4. (Nachanmeldung: 31.8.); Frühjahrssemester: 30.11. (Nachanmeldung: 31.1.)
Interested candidates should visit the program's website for application details. Ensure all required documents are prepared for submission.
- CV
- Cover letter
- Bachelor's degree transcripts
- Language proficiency certificates
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