General Courses
Study year 1
Mandatory courses (15.0 credits)
| Course code | Course name | Credits | Edu. level |
|---|---|---|---|
| SF2940 | Probability Theory | 7.5 credits | Second cycle |
| SF2955 | Computer Intensive Methods in Mathematical Statistics | 7.5 credits | Second cycle |
Conditionally elective courses
| Course code | Course name | Credits | Edu. level |
|---|---|---|---|
| DD2401 | Neuroscience | 7.5 credits | Second cycle |
| SF2526 | Numerical algorithms for data-intensive science | 7.5 credits | Second cycle |
| SF2930 | Regression Analysis | 7.5 credits | Second cycle |
| SF2943 | Time Series Analysis | 7.5 credits | Second cycle |
| DD2424 | Deep Learning in Data Science | 7.5 credits | Second 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 code | Course name | Credits | Edu. level |
|---|---|---|---|
| DD2421 | Machine Learning | 7.5 credits | Second cycle |
| DD2434 | Machine Learning, Advanced Course | 7.5 credits | Second cycle |
| DD2610 | Deep Learning, advanced course | 7.5 credits | Second cycle |
| SF2935 | Modern Methods of Statistical Learning | 7.5 credits | Second cycle |
| SF2956 | Topological Data Analysis | 7.5 credits | Second cycle |
| SF2957 | Statistical Machine Learning | 7.5 credits | Second 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.