STK4900 – Statistical Methods and Applications
Schedule, syllabus and examination date
Exams after the reopening
As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.
The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is emperical determination of relations between variables) and other multivariable statistical techniques are central. In particular linear regression, analysis of variance, design of experiments, logistic regression, survival analysis and simple time-series analysis is treated.
The students will become familiar with many important topics in applied statistics. Teaching will be computer assisted and related to examples. Mathematics is kept at a minimum, while it is expected that the students have a basic knowledge of statistics at the level of STK1000 – Introduction to Applied Statistics. Use of a software package is integraded into the course. The course STK4900/9900 is in particular directed towards master and phd students respectively, who need knowledge of statistics beyond an introductory course for their thesis work. The students are required to actively take part in practical exercises.
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Recommended previous knowledge
- STK1000 – Introduction to Applied Statistics
- An introductory course in mathematics
- 10 credits overlap with STK3900 – Statistical methods and applications (discontinued).
- 10 credits overlap with STK9900 – Statistical Methods and Applications.
- 9 credits overlap with ST301.
- 9 credits overlap with ST301.
- 5 credits overlap with STK2000 – Some central models and methods in statistic (discontinued).
- 5 credits overlap with STK3100 – Introduction to Generalized Linear Models.
- 5 credits overlap with ST-IN216.
- 5 credits overlap with STK4100 – Introduction to Generalized Linear Models.
- 5 credits overlap with ST213.
- 5 credits overlap with ST202.
- 3 credits overlap with ST202A.
- 3 credits overlap with STK2120 – Statistical Methods and Data Analysis 2 (discontinued).
- 3 credits overlap with STK1120 – Statistical methods and data analysis 2 (continued).
- 2 credits overlap with STK1110 – Statistical Methods and Data Analysis.
Teaching will be given intensively over two separate weeks. In these two weeks there will be teaching 09.15-16.00 every day.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
Final written exam or final oral exam, which counts 100 % towards the final grade.
The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.
This course has 2 mandatory assignments that must be approved before you can sit the final exam.
Lectures, exercises and the compulsory assignment are given jointly for STK4900 and STK9900, but the exam questions are not the same for the two courses.
Examination support material
Written examination: All printed and hand-written resources and approved calculators are allowed. Information about approved calculators (Norwegian only).
Oral examination: No examination support material is allowed.
Language of examination
Courses taught in English will only offer the exam paper in English. You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more: