autumn 2022
STA-3301 Applied statistical methods and data analysis - 10 ECTS

Last changed 28.09.2022

Application deadline

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester. Exchange students and Fulbright students: 15 October for the spring semester and 15 April for the autumn semester.

Type of course

The course is mandatory for master students in Aviation. It may also be taken independent of study program upon approval of the Department of mathematics and statistics.

Admission requirements

Bachelor of science degree or equal. Recommended prerequisites is STA-0001 Applied statistics 1 or STA-1001 Probability and statistics. Application code is 9371.

Course content

The course provides an introduction to statistical methods with applications in data analysis and quantitative research.

Recommended prerequisites

STA-0001 Applied statistics 1

Objectives of the course

The student will obtain knowledge of:

  • the most common probability distributions.
  • fundamental concepts in statistical inference, including point and interval estimation, hypothesis testing and statistical significance.
  • fundamental theory for multiple linear regression and analysis of variance (ANOVA).

The student will be able to:

  • give descriptive statistics to summarize a data set.
  • perform one- and two-sample analysis, multiple regression and analysis of variance using statistical software like R.
  • interpret the results of a statistical analysis.
  • discuss and evaluate the limitations and strengths of statistical analyses.

The student will obtain competence to:

  • read and understand statistical analyses within relevant fields of study.
  • choose relevant statistical methods to analyse a given data set
  • communicate and disseminate the results from statistical analyses.

Teaching methods

Module based teaching, including monthly in-person seminars over 2-3 days.

Information to incoming exchange students

This module is open for exchange students with bachelor degree in science and a basic background in statistics. 



Examination systems: Duration: Grade scale:
Oral exam 1 Hours A–E, fail F
Coursework requirements – To take an examination, the student must have passed the following coursework requirements:
Mandatory assignments Approved/ Not approved

More info about the coursework requirements

Submission of up to 3 mandatory assignments, including the use of R or other software, will be required to qualify for the exam. Assessment scale: Passed/not passed.

Re-sit examination

Postponed examination: Students with valid grounds for absence will be offered a postponed examination early in the following semester.
  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: STA-3301
  • Tidligere år og semester for dette emnet