Overview
This Statistics programme offered by Stockholm University focuses on statistical theory and methodology, supporting research into data collection, analysis, and interpretation across a wide range of empirical sciences. It addresses challenges related to uncertainty, inference, and complex data structures, with strong links to developments in computational techniques.
Key Facts
The academic environment combines coursework and independent research, with emphasis on probability theory, inference, computation, and stochastic processes. Training enables the formulation of research problems, application of appropriate methods, and production of a scientific thesis, contributing to methodological development and applied statistical knowledge.
Programme Structure
Courses include:
- Probability Theory
- Statistical Inference
- Statistical Computation
- Stochastic Processes
- Theory and Methodology of Statistical Science
- Machine Learning
Admission requirements
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL iBT 90
Other requirements
General requirements
- Master’s degree or 240 ECTS credits including 60 at second-cycle level, or equivalent knowledge required
- At least 90 ECTS credits in Statistics required, including 15 ECTS for an independent dissertation
- English proficiency required (reading, writing, and speaking)
- Exemptions from basic eligibility may be granted by the department in specific cases
Fees and funding
Tuition Fees
- International: Non-residents — Free
- EU/EEA: EU/EEA Nationals — Free
Doctoral students are not charged tuition fees.
Living costs
Stockholm, Sweden: 1,386–2,473 AUD / month