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.
Programme overview
The programme consists of four semesters. The first three semesters are divided into two blocks of approximately ten weeks each and the final semester is the degree project. Students study two courses simultaneously. For example, in the first semester students commence by studying “Probability theory” and “Theory of statistical inference”; during the second half of the first semester, students study “Biostatistics I” and “Categorical data analysis”.
The courses shown in light blue are held at KTH Royal Institute of Technology, the courses shown in Navy are held at Stockholm University, and the courses shown in plum are held at Karolinska Institutet. Following is a list of courses with links to the respective course web pages.
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)
Conditionally elective course (7,5 credits)
Computer intensive methods in mathematical statistics (7,5 credits)
Conditionally elective course (7,5 credits)
Semester 3
Biostatistics 2: Methods and applications (7,5 credits)
Conditionally elective course (7,5 credits)
Study design and analysis in medical research (7,5 credits)
Conditionally elective course (7,5 credits)
Semester 4
Degree project in Biostatistics and Data science (30 credits)
Programme Syllabus
Syllabus 5BD24 for the Master's Porgramme in Biostatistics and Data Science