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Basic Statistics with Applications to Natural Sciences

The course is for you who want to learn the basics needed to process data, present the results and draw statistically conclusions. Statistics has also become a necessary part of understanding the modern world, and what you learn in this course will help you understand a little more.

Things we cannot control often affect what we observe, and this random variation is the basis of this course. How can we say that it will be warmer if there is annual variation in temperature? How can we say that one method of preventing virus infestation is better than another method if the spread of the virus is due to chance?

The course presents some of the practical statistical methods required to read and understand modern scientific research with a focus on natural sciences. The course takes you from the most basic statistical methods that you can calculate on your own to some of the more complicated statistical models used in research. What you learn will be useful when you are doing your bachelor or master thesis, but also if you are aiming for a future in research or a profession where you handle a lot of data.

The course provides a theoretical basis and philosophy that allows you to use statistical methods in practical work where different models are tested and discussed. During the course, the program R is used, which is also useful beyond statistics, for example for visual presentation, bioinformatics and GIS.

Course evaluation

The course evaluation is not yet activated

The course evaluation is open between 2022-10-24 and 2022-11-14

Additional course evaluations for ST0060

Academic year 2021/2022

Basic Statistics with Applications to Natural Sciences (ST0060-10151)

2021-09-30 - 2021-11-01


ST0060 Basic Statistics with Applications to Natural Sciences, 7.5 Credits

Grundläggande statistik med tillämpningar inom naturvetenskap



Education cycle

Bachelor’s level


Title Credits Code
Examination 5.0 0102
Project 2.5 0103

Grading scale

5:Pass with Distinction, 4:Pass with Credit, 3:Pass, U:Fail The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.



Prior knowledge






Formats and requirements for examination

  • If the student fails a test, the examiner may give the student a supplementary assignment, provided this is possible and there is reason to do so.
  • If the student has been granted special educational support because of a disability, the examiner has the right to offer the student an adapted test, or provide an alternative assessment.
  • If changes are made to this course syllabus, or if the course is closed, SLU shall decide on transitional rules for examination of students admitted under this syllabus but who have not yet passed the course.
  • For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline. For more information on this, please refer to the regulations for education at Bachelor's and Master's level.

Other information

  • The right to take part in teaching and/or supervision only applies to the course date to which the student has been admitted and registered on.
  • If there are special reasons, the student may take part in course components that require compulsory attendance at a later date. For more information on this, please refer to the regulations for education at Bachelor's and Master's level.

Additional information


Responsible department

Department of Biosystems and Technology

Further information

Determined by: Programnämnden för utbildning inom landskap och trädgård (PN - LT)
Replaces: BI1260, BI1363

Grading criteria

There are no Grading criteria posted for this course

Course facts

The course is offered as an independent course: Yes Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 13082 SEK Cycle: Bachelor’s level
Subject: Statistics
Course code: ST0060 Application code: SLU-10311 Location: Alnarp Distance course: No Language: Swedish Responsible department: Department of Biosystems and Technology Pace: 100%