Statistics

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