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Photo: /Konstnär: Per Petersson
Statistical Learning for Big Data
Course
MSA220
Master’s level
7.5 credits (ECTS)
Offered by the
Department of Mathematical Sciences
at
Faculty of Science and Technology
About
The course should give understanding of and training in techniques for statistical analysis of large data sets.
This course is open to
Exchange students at the Faculty of Science and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
Entry requirements
The prerequisites for the course are a basic course in statistical inference and MSG500 Linear Statistical Models.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference.
Application
Do you want to apply for exchange studies at the University of Gothenburg?