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MaU Reads
At Malmö University, book clubs and author talks are organised every semester, called MaU Reads. The book clubs are for students and vary in Swedish and English. The book clubs end with an author talk that is open for everyone to attend.
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Research group
RESEARCH GROUPStudies in Housing and Welfare
Studies in Housing and Welfare (SBV) is a research group and a cross-disciplinary research environment. It deals with housing in a social context that is characterised by constant change.
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Moving to Malmö
Moving to a new country is an exciting adventure, but there are also many things to think about: visa and permits, health insurance and healthcare, student housing, personal identity number as well as practicalities and your social life as a student.
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Staff
Thi Xuan Loi Dang - Doctoral student
loi.dang@mau.se+46 40 665 80 15Department of Urban Studies (US) -
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Christina Lindh - Associate Professor/Professor emeritus/emerita
christina.lindh@mau.se+46 70 456 11 91Division 2 -
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Master's studies
Located in southern Sweden, Malmö University offers a variety of master's degree programmes taught in English for you who wish to study an international master education.
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Apply for your degree certificate
How to apply for your degree certificate, general rules and information, download certificate, lost certificate, appeal, changes to your personal data.
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Doctoral courses
All doctoral courses at Malmö University, whether university-wide and or provided by a faculty, are open to doctoral students at Malmö University or any other university. All courses are free of charge for all participants.
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Library
Welcome to Malmö University Library. Here you can borrow and reserve books, search and read articles, find research publications, and access our extensive range of electronic materials, e-books, and search guides.
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News
Published: 25 February 2026AI produces stereotypical and anachronistic images when portraying the past
Can AI help us understand the past – or does it project a hallucination of history? A research project tested how an image model visualises the year 1936: the results are stereotypical, anachronistic and shaped by today's digital image flows.