SOS4022 – Advanced Statistical Methods

Schedule, syllabus and examination date

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Course content

This course cover selected topics in statistical methods and research workflow related to statistical analysis. The topics covered are typically not included in statistical methods courses at the Master’s level,

The course will consist of four modules, each taught through a two-day workshop. Not all modules are included each semester the course is taught. Students’ preferences is accommodated as far as possible in the module selection.To help us choose modules, we invite those interested in participating to indicate their preferences for which modules to include.

We will use R and/or Stata as the main statistical tools. This decision is made independently for each module. Language of instruction is English, unless all students have a sufficient command of Norwegian.

Potential course modules:

  • Research designs for causal inference: instruments and discontinuities
  • Introduction to reproducible research using R and RMarkdown
  • Event history analysis: durations and intensities as dependent variables
  • Is signifiance testing significant (p<0.05)? A discussion module.
  • Panel data: fixed and random effects
  • Quantile regression
  • Multivariate data redux: Factor analysis and principal component analysis

Learning outcome

The learning outcome of the course is mastery of a suite of methods and workflow styles that will enable the student to produce several new statistical analyses and correctly and efficiently present the results from those analyses.


This course is a part of the Master's program in Sociology.

The course is available for Ph.D. candidates at the Department of Sociology and Human Geography. In case there are open places, Ph.D. candidates in sociology and geography from other Universities and advanced Master’s level students from the University of Oslo may be admitted as guest student if this is cleared by their own study programme.

This course has jointly taught classes with SOS9009 – Advanced statistical methods (ph.d.-level). Doctoral students must take SOS9009.

This course is not available for single course students.

The registration period runs from March 27 until April 4. To apply for the course please fill out this application form. Applicants will be prioritized for admission after a first come, first-served principle.

If you have any questions please contact the student advisor for the Master’s degree in sociology.


Formal prerequisite knowledge

Participants must have a good working knowledge of basic statistics and linear regression analysis.

SOS1120 or equivalent

SOS4020 or equivalent (if you’re taking SOS4020 during the spring semester 2020 you’ll be able to apply after you have received your results)

Overlapping courses

5 credits overlap with SOS9009 – Advanced statistical methods

Credit overlap will be determined semester by semester, as the content of the course varies over semesters.


Access to teaching

This course has jointly taught classes with SOS9009 – Advanced Statistical Methods (ph.d.-level). The course is organized into four modules. Each module is taught separately as a two-day workshop. Readings associated with each module will be distributed several weeks ahead of the module teaching dates. Some modules will be taught by external teachers.

The language of instruction is English.

Compulsory tuition activities

Participation is mandatory (note that you must be present at all workshops). Approved compulsory attendance is valid until the course is no longer offered.

Absence from compulsory tuition activities

If you are ill or have another valid reason for being absent from compulsory tuition activities, your absence may be approved or the compulsory activity may be postponed.


Each module requires active class participation, readings, and submission of a short assignment. To receive a Pass grade, the student must complete the requirements of all four modules.

Masters participants obtain 10 ECTS credits by completing the course requirements which are:

  • Active participation in the course in each module
  • Submission of short assignment in each module
  • Oral exam

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals

It is recommended to request an explanation of your grade before you decide to appeal.



The deadline to request an explanation is one week after the grade is published. For oral and practical examinations, the deadline is immediately after you have received your grade.

The explanation should normally be given within two weeks after you have asked for it. The examiner decides whether the explanation is to be given in writing or verbally.

Resit an examination

If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.

See also our information about resitting an exam.

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.


The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course






The course availability is determined by the schedule of the PhD-course SOS9009 

Teaching language