AM521817 - Data analysis


Examination arrangement

Examination arrangement: Home examination and written examination
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 60/100 4 hours E
Home examination 40/100 72 hours A

Course content

  • Research process and planning
  • Analyses of variance and cross-table analysis
  • Cluster analysis
  • Factor analysis
  • Conjoint analysis
  • Linear multiple regression analysis
  • Ordinary least squares method (OLS), Gauss Markov Theorem, OLS assumptions
  • Hypothesis testing and critical evaluation of results
  • Logistic regression
  • Introduction to structural equation modelling
  • Communicating research results
  • Use of Python or SPSS

Learning outcome


  • Master the terminology of the subject.
  • Acquire comprehensive knowledge of basic statistical methods.
  • Acquire general knowledge about the ethical norms of research.
  • Knowledge of presentation and reporting techniques.


  • Be able to undertake an independent, small-scale research project in accordance with prevailing scientific ethical norms, using Python.
  • Be able to select and master relevant statistical tools according to research questions and the formulated hypotheses.
  • Be able to communicate research problems, analyses, and conclusions, as well as acquire a basis for communicating more comprehensive scientific work.

General competence:

  • Be able to apply the topics of this course in a larger business/economic professional perspective.
  • Be able to apply the topics of this course in a larger social perspective.
  • Be able to acquire updated knowledge within the above mentioned areas of knowledge and skills.
  • Be able to critically present the uncertainty of results based on different statistical methods.

Learning methods and activities

Lectures, discussions in groups and in plenary.

Compulsory assignments

  • Statistic exercises

Further on evaluation

Mandatory Assignments:

Two individual statistical exercises must be handed in and approved in order for candidates to be allowed to take the final exams. Previously approved mandatory assignments are valid until there are significant changes in the subject.

Students are entitled to re-sit only the part of the examination in which they have had legitimate reasons for an absence or have failed. A re-sit examination will take place only during the designated period for re-sit examinations. To be awarded a grade, both exams must be passed. Students are entitled to take only the part of the ordinary examination in which they have failed or want to improve. They do not need to retake all parts of the examination.

Required previous knowledge

As for the study programme.

Course materials

To be announced at the start of the term

Credit reductions

Course code Reduction From To
AM521412 7.5 SPRING 2024 SUMMER
More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator:

Department with academic responsibility
Department of International Business


Examination arrangement: Home examination and written examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn UTS Home examination 40/100 A INSPERA
Room Building Number of candidates
Autumn UTS Home exam 60/100





Room Building Number of candidates
Spring ORD Home examination 40/100 A





Room Building Number of candidates
Spring ORD School exam 60/100 E 2024-05-30 09:00 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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