Internship in data science

Undergraduate course

Course description

Objectives and Content

An internship will be specified and should be implemented under the guidance of an advisor from the department. This will be a data science project for a client or a department that will collect useful information and knowledge from data.

Available internships will be announced at Mitt UiB, at the DSC219 site. Questions about available internships can be directed to the study advisor at the Department of Informatics (

ECTS Credits


Level of Study

Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
INF219 (5 ECTS)
Access to the Course
Access to the course requires admission to Data science, Integrated Master¿s (5 years) at The Faculty of Mathematics and Natural Sciences
Teaching and learning methods
Lectures, individual work and presentations
Compulsory Assignments and Attendance
Forms of Assessment
Written report and oral presentation of the project.
Grading Scale
Assessment Semester
Teaching semester
Reading List
The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester.
Course Evaluation
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.
Examination Support Material
Programme Committee
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course Administrator
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.