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Appendix 1: Course list

General Courses

Study year 1

Mandatory courses (15.0 credits)

Course codeCourse nameCreditsEdu. level
SF2940Probability Theory7.5 creditsSecond cycle
SF2955Computer Intensive Methods in Mathematical Statistics7.5 creditsSecond cycle
UTBSAMParticipates in studies in educational collaboration at another universityundefined creditsundefined

Conditionally elective courses

Course codeCourse nameCreditsEdu. level
DD2401Neuroscience7.5 creditsSecond cycle
SF2526Numerical algorithms for data-intensive science7.5 creditsSecond cycle
SF2930Regression Analysis7.5 creditsSecond cycle
SF2943Time Series Analysis7.5 creditsSecond cycle
DD2424Deep Learning in Data Science7.5 creditsSecond cycle

Supplementary information

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.

Information regarding conditionally elective courses

Among the conditionally elective courses 15 credits has to be studied.

Study year 2

Conditionally elective courses

Course codeCourse nameCreditsEdu. level
DD2421Machine Learning7.5 creditsSecond cycle
DD2434Machine Learning, Advanced Course7.5 creditsSecond cycle
DD2610Deep Learning, advanced course7.5 creditsSecond cycle
SF2935Modern Methods of Statistical Learning7.5 creditsSecond cycle
SF2956Topological Data Analysis7.5 creditsSecond cycle
SF2957Statistical Machine Learning7.5 creditsSecond cycle

Supplementary information

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.

Information regarding conditionally elective courses

Among the conditionally elective courses 15 credits has to be studied.

Only one of the courses SF2925 "Modern methods of statistical learning", DD2421 "Machine Learning" or SF2957 "Statistical learning" can be studied.