4.0 (95) Read 80 reviews
Overview
Why choose this programme?
The Assessment, Measurement and Evaluation programme of the University of Oslo offers rigorous training in research methods and data analysis using the free software environment R for statistical computing and graphics.
Learning Outcomes
Knowledge
- Have a good conceptual grasp of key statistical principles (e.g., uncertainty & variation) for making solid inferences and conclusions.
- Demonstrate an understanding of classical test theory & measurement approaches as well as more modern test design techniques based on item response theory.
- Have insight into different ways to quantitatively analyze and use data to address measurement problems & research questions in the social sciences.
- Demonstrate an understanding of current paradigms and related societal debates in the field of assessment, measurement, and evaluation.
Skills
- Quantitative: Apply state-of-the-art statistical techniques (e.g., Structural Equation Models) to analyze and learn from data.
- Software: Proficiency in using the free software environment R for statistical computing and graphics
- Design: Apply best practices, including useability studies & cognitive labs, to design high quality measurement instruments.
- Communication: Write scientific papers & research reports, present posters, and give talks in academic and professional settings.
Competence
Initiate and contribute in a constructive but critical way to
- the discussion of existing assessment and evaluation systems, particularly as they relate to issues around validity and reliability.
- the construction of new assessment and measurement instruments, with a strong focus on validity and reliability for the intended use of the instrument.
Programme Structure
Courses include:
- Principles of Measurement
- Data Science
- Linear Models
- Item Response Theory
- Measurement models
- Constructing Measures
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , EEA/EU
-
- Starting
- Apply before , National
- Apply before , EEA/EU
-
- Starting
- Apply before , International
-
Language
English
IELTS 6.5
TOEFL® IBT 90
Credits
120 ECTS
Delivered
On Campus
Disciplines
Psychology Statistics Educational Psychology View 8 other Masters in Statistics in NorwayAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 6.5
TOEFL® IBT 90
Other requirements
General requirements
- You must have a bachelor’s degree comparable to a Norwegian bachelor’s degree.
- 4-year bachelor's degree or Licence.
- You must have a minimum grade average comparable to a Norwegian C in the required specialization. A Norwegian C is described as a good grade, generally comparable to an American B and a Second Class Upper in the British system.
- A specialization on Bachelor's level equivalent to 80 ECTS credits (approximately 1 1/2 year of study) in social behavioral sciences such as psychology, education, sociology, economics, political sciences or relevant studies in natural sciences or humanities with a measurement/statistics orientation.
- Documentation of English language proficiency.
- Scan and upload your official transcripts documenting that you have completed your upper secondary education.
- You must scan and upload your official bachelor's degree certificate and academic transcript.
Tuition Fee
To alway see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 EUR for the full programme during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR for the full programme during 24 months.
Living costs for Oslo
11682 - 19230 NOK /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Improve page content
Fresh content
Updated in the last year
Check the official programme website for potential updates.