Master’s studies

Syllabus for Statistics and Data Analysis Methods

Statistik och dataanalysmetoder


  • 5 credits
  • Course code: 1HY013
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Earth Science A1N
  • Grading system: Fail (U), 3, 4, 5
  • Established: 2014-03-13
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2016-09-29
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2017
  • Entry requirements: 120 credits with at least 90 credits in earth science or in technology or physics.
  • Responsible department: Department of Earth Sciences

Learning outcomes

After the completion of the course, the student should be able to

  • Explain basic statistical terms and concepts
  • Identify statistical methods that are suitable for exploring, describing and analysing earth science data
  • Summarise and visualise earth science data with computing software
  • Compare, relate and predict hydrological and geographical data in time and space


The course introduces basic concepts in descriptive and inferential statistics, as well as data exploration methods, with specific focus on their use in hydrology and physical geography. Topics covered include probability distributions, data transformations, confidence intervals, hypothesis testing, frequency analysis, correlation, regression and time series analysis.



Lectures and exercises.


Assessment is divided between a written exam (2 credits ) and exercises (3 credits)

Reading list

Reading list

Applies from: week 30, 2017