For students attending the Master's Programme in Biostatistics and Data Science Programme Outline

The programme offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health. The programme is offered jointly by Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm University.

Courses given

Semester 1

Theory of statistical inference (7,5 credits)

Probability theory (7,5 credits)

Categorical data analysis (7,5 credits)

Biostatistics 1: Introduction to biostatistics (7,5 credits)


Semester 2

Survival analysis with applications in medicine (7,5 credits)

Elective course (7,5 credits)

Computer intensive methods in mathematical statistics (7,5 credits)

Elective course (7,5 credits)


Semester 3

Biostatistics 2: Methods and applications (7,5 credits)

Elective course (7,5 credits)

Study design and analysis in medical research (7,5 credits)

Elective course (7,5 credits)


Semester 4

Degree project in Biostatistics and Data science (30 credits)

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