Courses for Biostatistics and Data Science
The two-year master's programme in Biostatistics and Data Science consists of three terms of courses and one final term dedicated to the master's degree project. Each term consist of approximately 30 ECTS credits. The courses presented on this page apply to studies starting in autumn 2024.
Year 1
Mandatory courses 45 credits:
Theory of statistical inference 7,5 credits, SU
Categorical data analysis 7,5 credits, SU
Biostatistics 1 7,5 credits, KI
Survival analysis with aplications in medicine 7,5 credits, KI
Conditionally elective courses:
Statistical unsupervised learning, 7,5 credits, SU
Statistical aspects of deep learning, 7,5 credits, SU
Statistical information theory, 7,5 credits, SU
Statistical models, 7,5 credits, SU
Below you find all courses organized by KTH.
Among the conditionally elective courses 15 credits has to be studied.
Mandatory courses
Conditionally elective courses
Year 2
Mandatory courses 45 credits:
Biostatistics 2, 7,5 credits, KI
Study design and analysis in medical research, 7,5 credits, KI
Degree project in biostatistics and data science, 30 credits, KI
Conditionally elective courses 15 credits:
Bayesian methods, 7,5 credits SU
Survival analysis, 7,5 credits SU
Statistical Learning, 7,5 credits SU
Mathematics and statistics for infectious disease outbreaks, 7,5 credits SU
Below you find all courses organized by KTH.
Among the conditionally elective courses 15 credits has to be studied.
Only one of the courses Modern methods of statistical learning, Machine Learning or Statistical learning can be studied.