Overview
A brief description of the programme
With the Data Science programme of the University of Oslo, you will be well prepared to face a major challenge in today's society: how to utilize the information contained in the vast amounts of data that are being collected in various areas such as medicine, finance, environment, and social media. The master's programme in Data Science is based on an interdisciplinary background in statistics (probability theory, inference, machine learning) and computer science (algorithms, visualization, database) in addition to a solid foundation in general mathematics.
Modern data collection is characterised by volume (the amount of data), variety (the many different types of data including numbers, text and videos) and velocity (the dynamic collection and need for processing data). Extracting knowledge and insight from such data requires several different skills. Many tools are available, but the need for an understanding on what these tools do and how they can be applied or modified to a specific problem requires deep methodological understanding of all the topics within the Data Science production chain. This programme will give you a combination of theoretical basis and practical experience, from problem definition to data extraction and preprocessing to analysis and in the end presentation of the results.
The program will focus on both the breadth and specialization in various subjects. The master's programme has the following specializations:
- Statistics and Machine Learning
- Database Integration and Semantic Web
- Data Science and Life Science
- Language Technology
- Digital Image Processing
Career prospects
After studying, you will have a good foundation for working in a number of areas both in private and public sector. Many of our Master's theses are directly linked to the issues and activities of technology companies and institutions in Norway. Some of the master's degree students who achieve very good academic results continue to pursue a research career by taking a doctorate (Ph.D.) at the University of Oslo or a university abroad.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Adaptive methods for data-based decision making
- Database Systems
- Applied Bayesian Analysis
- Advanced Database Systems for Big Data
- Logic
- Bioinformatics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , EEA/EU
-
- Starting
- Apply before , National
- Apply before , International
- Apply before , EEA/EU
-
Language
Credits
Delivered
Disciplines
Informatics & Information Sciences Computer Sciences Data Science & Big Data View 3 other Masters in Data Science & Big Data in NorwayAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
- You must have a bachelor’s degree comparable to a Norwegian bachelor’s degree.
- 4-year bachelor's degree or Licence.
- You must have a minimum grade average comparable to a Norwegian C in the required specialization. A Norwegian C is described as a good grade, generally comparable to an American B and a Second Class Upper in the British system.
- Documentation of English language proficiency.
- Scan and upload your official transcripts documenting that you have completed your upper secondary education.
- You must scan and upload your official bachelor's degree certificate and academic transcript.
- Documentation of financing.
- Passport or ID card.
Tuition Fee
-
International
FreeTuition FeeBased on the original amount of 0 EUR for the full programme and a duration of 24 months. -
EU/EEA
FreeTuition FeeBased on the original amount of 0 EUR for the full programme and a duration of 24 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Fresh content
Updated in the last 3 months
Check the official programme website for potential updates.