Master´s Programme in Geology and Geophysics (no mandatory studies)
Master´s Programme in Atmospheric Sciences (no previous mandatory studies)
To see recommended prerequisite studies, please change the language of the page to Finnish.
Master´s Programme in Cultural Heritage (in Finnish Kulttuuriperinnön maisteriohjelma)
Study track: archaeology. Requirements in BSc degree; 20 cp Basic and Intermediate studies in Archaeology (grade 4) including coursest: Arkeologian perusteet KUMA-AR110, Kenttätyömenetelmien perusteet KUKA-AR219, Suomen ja lähialueiden arkeologia KUKA-AR212, Arkeologian analyysimenetelmät KUKA-AR214.
Master´s Programme in Environmental Change and Global Sustainability
Study track: Environmental Change. Registration (level of grades used as selection criteria)
Master's Programme in Data Science
Curriculum 2023-2026
• either
- MAT11001 Introduction to University Mathematics
- MAT11009 Basics of mathematics in machine learning I or [ MAT11002 Linear algebra and matrices I (equivalent to BSMA1001) and MAT21001 Linear algebra and matrices II (equivalent to BSMA2001) and MAT22011 Linear algebra and matrices III]
- MAT11015 Basics of mathematics in machine learning II or [ MAT11006 Calculus IA: Limits and differentiation (equivalent to BSMA1002)] or [MAT11003 Limits and MAT11004 Differential Calculus]
• or
- FYS1010 Mathematics for Physicists I
- FYS1011 Mathematics for Physicists II
- FYS1012 Mathematics for Physicists III
• MAT12003 Probability I (equivalent to BSMA1006) or FYS1014 Statistical Analysis of Observations
• TKT10002 Introduction to Programming or FYS1013 Scientific Computing I
• TKT10003 Advanced Course in Programming or FYS2085 Scientific Computing II
• TKT200011 Data Structures and Algorithms I
The prerequisite courses listed above can also be replaced by their Sisu equivalents.
Curriculum 2026-2030
• either
- MAT11001 Introduction to University Mathematics
- MAT11009 Mathematics for computer science I or [ MAT11002 Linear algebra and matrices I (equivalent to BSMA1001) and MAT21001 Linear algebra and matrices II (equivalent to BSMA2001) and MAT22011 Linear algebra and matrices III]
- MAT11015 Mathematics for computer science II or [ MAT11006 Calculus IA: Limits and differentiation (equivalent to BSMA1002)] or [MAT11003 Analysis I: limits and MAT11004 Analysis II: continuity and derivative]
• or
- FYS1010 Mathematics for Physicists I
- FYS1011 Mathematics for Physicists II
- FYS1012 Mathematics for Physicists III
• MAT12003 Probability I (equivalent to BSMA1006) or FYS1014 Statistical Analysis of Observations
• TKT10002 Introduction to Programming or FYS1013 Scientific Computing I
• TKT10003 Advanced Course in Programming or FYS2085 Scientific Computing II
• TKT200011 Data Structures and Algorithms I
The prerequisite courses listed above can also be replaced by their Sisu equivalents.
Master's Programme in Social Research, study track in Demography
Students may register twice a year, either in the spring or in the autumn. The spring term is the recommended time for registration.
Annual quotas
Criteria
Students of the Bachelor's Programme in Social Research will be given priority.
- Students in the Bachelor’s Programme in Social Research can register directly for the Study Track in Demography when their study track has been determined in the bachelor’s programme. Students must register during the general registration period in the spring or autumn.
- Students in the bachelor’s programmes of the Faculty of Social Sciences (except the Bachelor’s Programme in Social Research): Basic and intermediate studies (35 cr) in the student’s own bachelor’s programme and applicable methodology studies (15 cr), including, for example, courses in methodology, demography or statistics
- Students must indicate on the registration form which completed studies they wish to put forward for consideration in the application process.
- Students of the Bachelor’s Programme in Social Research will be given priority. The primary criterion in the admission process will be applicable studies, and the secondary criterion will be performance in studies.