STK-INF4000 – Selected Topics in Data Science

Schedule, syllabus and examination date

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Course content

The course provides insight into selected contemporary relevant topics within Data Science. Students gain practical experience with data analysis and industry relevant algorithms and technologies for data analysis. Course content follows developments in the field.

Learning outcome

After completing the course you will have:

  • a general overview of the most contemporary relevant and industry relevant technologies and methods in Data Science;
  • theoretical knowledge and practical experience in data analysis and applied statistics;
  • experience with the use of distributed systems for storage and / or processing;
  • expertise to carry out a real project in data analysis, from data collection to data-driven decision-making guidance;
  • learned to reflect on the benefits and the problems inherent in using contemporary current methods in Data Science.


Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Overlapping courses

10 credits overlap with STK-INF3000 – Selected Topics in Data Science


3 hours of lectures, 2 hours of open group and oracle services when needed.

The number of groups offered can be adjusted during the semester, depending on attendance.


Mandatory project tasks and assignments/presentations. STK-INF4000 will have a project that is more reflective/extensive in relation to the STK INF3000.

A project which counts 60% and a final exam counts 40%. Both parts must be passed and in the same semester. In order to sit the exam, all the compulsory assignments in the subject must be approved.

Final project and oral or written examination. The form of examination will be settled by 15 February.

Language of examination

Subjects taught in English will only offer the exam paper in English.

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

Grading scale

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.

Explanations and appeals

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.

Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

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.

Facts about this course






Spring 2017


Spring 2017

Teaching language


The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.