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Umeå University
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Statistics

Advanced biostatistics and epidemiology, 7.5 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Public Health Global Health Health and Medical Care Statistics
Analysis of Field Data, 15 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Biology Ecology Statistics
Analysis of Financial Data, 7.5 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Business Administration and Economics Finance Statistics Computer Science and Engineering
Biostatistics, 5 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Public Health Global Health Health and Medical Care Statistics
Business Analytics, 15 credits
  • Level Course, Bachelor's level
  • Study time 100%
Subject: Statistics Computer Science and Engineering
Causal inference, 7.5 credits
  • Level Course, Master’s level
  • Study time 50%
  • Study form Web-based (online)
Subject: Computer Science and Engineering Statistics
Data analysis, 7.5 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Statistics Computer Science and Engineering Cognitive Science Psychology
Data Analytics with R, 4.5 credits
  • Level Course, Bachelor's level
  • Study time 33%
  • Study form Web-based (online)
Subject: Statistics Computer Science and Engineering
Data Analytics with R, part 1, 4.5 credits
  • Level Course, Bachelor's level
  • Study time 33%
  • Study form Web-based (online)
Subject: Computer Science and Engineering Statistics
Data preprocessing and visualisation, 7.5 credits
  • Level Course, Bachelor's level
  • Study time 50%
Subject: Computer Science Mathematical Statistics Statistics
Data Visualization of Global Trends, 7.5 credits
  • Level Course, Bachelor's level
  • Study time 50%
Subject: Computer Science and Engineering Statistics
Design of Experiments and Advanced Statistical Modelling, 15 credits
  • Level Course, Master’s level
  • Study time 100%
Subject: Computational Science Mathematical Statistics Statistics
Introduction to data science, 3 credits
  • Level Course, Bachelor's level
  • Study time 50%
Subject: Computer Science and Engineering Statistics
Introduction to R, 3 credits
  • Level Course, Bachelor's level
  • Study time 20%
  • Study form Web-based (online)
Subject: Computer Science and Engineering Statistics
Machine Learning with R, part 1, 7.5 credits
  • Level Course, Bachelor's level
  • Study time 50%
  • Study form Web-based (online)
Subject: Computer Science and Engineering Statistics
Machine Learning with R, part 2, 3 credits
  • Level Course, Bachelor's level
  • Study time 50%; 20%
  • Study form Web-based (online)
Subject: Computer Science and Engineering Statistics
Master's Programme in Mathematical Statistics, 120 credits
  • Level Programme, Master’s Degree
  • Study time 2 years (full time)
Subject: Statistics Mathematical Statistics
One Year Master Thesis in Statistics, 15 credits
  • Level Course, Master’s level
  • Study time 50%
Subject: Statistics Computer Science and Engineering
Programming in statistics, 7.5 credits
  • Level Course, Master’s level
  • Study time 50%
  • Study form Web-based (online)
Subject: Statistics Computer Science and Engineering
Quantitative Research Methods for the Social Sciences, 7.5 credits
  • Level Course, Master’s level
  • Study time 50%; 100%
Subject: Statistics Computer Science and Engineering