Continuing education
Python programming can be a tool for uncovering stories hidden in data. This course is aimed at journalists who want to learn how Python can be used to analyze and conduct research in larger datasets.
To apply for this programme you must meet the Higher Education Entrance Qualification (samordnaopptak.no). Norwegian language proficiency is not required.
You apply via Søknadsweb with study code 215 3786.
The application deadline is April 15.
The continuing education is aimed at journalists but is also open to other interested parties.
In this continuing education you will dive into Python programming and data science, acquiring skills that will enhance your ability to analyze data.
You will receive a comprehensive introduction to data science and big data, with a special focus on how these tools can be used in investigative journalism.
The course emphasizes the development of fundamental programming techniques, analytical thinking, understanding of code, and problem-solving skills. You will learn to use state-of-the-art techniques in data analysis, enabling you to interact independently with data and extract insights from it.
Through practical exercises and guidance, you will develop understanding and skills that can be directly applied to your journalistic practice.
This overview is updated every spring; until then it shows the courses for current students.
| Course | Course code | Credits | Type |
|---|---|---|---|
| Python Programming and Data Science for Journalists | VPYT6000 | 15 ECTS | Compulsory |
The course is organized around two five-hour sessions at OsloMet and four digital sessions.
The sessions will have a practical approach to learning, where you work in groups under supervision on a project relevant to journalism. Attendance at the sessions is therefore necessary for the completion of the program.
The exam is a project carried out in groups of two to three students.
The continuing education program is worth 15 credits. This corresponds to a 50 percent workload compared to full-time studies.
You pay a semester fee (student.oslomet.no).
