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F7MML · The programme on Studieinfo ↗

Master's Programme in Statistics and Machine Learning

The figure next to each course is the share who passed the ordinary sittings of its main exam over the last 5 years, with the number of students. A grey dash means there are no statistics.

Semester 1

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732A60 compulsory Advanced Academic Studies100% 88 students
732A70 compulsory Introduction to Python100% 130 students
732A83 compulsory Statistical Methods86% 51 students
732A94 compulsory Advanced Programming in R69% 177 students
732A99 compulsory Machine Learning43% 259 students

Semester 2

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732A54 compulsory Big Data Analytics59% 198 students
732A75 compulsory Advanced Data Mining66% 148 students
732A82 compulsory Deep Learning77% 47 students
732A89 compulsory Computational Statistics75% 44 students
732A91 compulsory Bayesian Learning61% 112 students

Semester 3

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No period

Elective courses, semester 3
CoursePass the ordinary examPass the re-examGet high gradesStudents
732A51 Bioinformatics100% 36 students––36
732A57 Database Technology82% 72 students66% 29 students38%101 students101
732A63 Probability Theory79% 57 students57% 23 students35%80 students80
732A76 Research Project99% 72 students83% 6 students71%78 students78
732A80 Time Series and Sequence Learning80% 114 students73% 44 students27%158 students158
732A81 Text Mining67% 72 students75% 61 students38%133 students133
732A88 Multivariate Statistical Methods86% 7 students–71%7 students7
732A96 Advanced Machine Learning51% 43 students35% 20 students10%63 students63
732A98 Visualization68% 78 students92% 12 students20%90 students90

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Semester 4

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732A67 compulsory Master Thesis in Statistics100% 13 students