Data Science internship
Postgraduate course
- ECTS credits
- 10
- Teaching semesters Spring
- Course code
- DSC319
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
This course gives students practical experience with the data science process. The student will actively participate in a internship placement at a company or in a research activity with tasks/project related to data science. The course is intended to give the student an opportunity to reflect on the relationship between the theoretical courses in the study program and the practical professional work within data science.
Learning Outcomes
On completion of the course the student should have the following learning outcomes
defined in terms of knowledge, skills and general competence:
Knowledge
The student
- is familiar with basic strategies for project and time management
- is familiar with basic strategies for practical collaboration within a team
Skills
The student
- can participate in a data science project
- can contribute to the written documentation of a data science project in the form of a technical report
- can deliver an oral presentation of a data science project
General Competence
The student
• can communicate effectively with members of a team, both orally and in writing
• can work with problem-solving in a team
ECTS Credits
10 ECTS
Level of Study
Bachelor
Required Previous Knowledge
Students with the course listed in the study plan in the current semester will be given priority.
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
The course is open for students with admission to the study programme in Data Science (integrated Master's), 5 years.
Teaching and learning methods
The internship comprises of at least 180 hours. In addition, lectures, preparatory work,
report writing, presentations, and other necessary activities related to the course may be
required.
Compulsory Assignments and Attendance
Some activities may be compulsory. Information about any compulsory activities will
be provided at the beginning of the course.
Forms of Assessment
Written report and oral presentation of the project.
Grading Scale
Pass/fail.
Assessment Semester
Teaching semester
Reading List
The reading list will be available within July 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
None
Programme Committee
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course Administrator
The Faculty of Science and Technology represented by the Department of Informatics is the course administrator for the course and study programme.