Data Science

Overview

With a Master in Data Science at 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. 

A graduate with a Master of Science in Data Science:

• has broad insight, understanding and intuition of the whole process line of extracting knowledge from data
• has a deep insight in one of the specialisations within the program, depending on the study and the choice of the master project
• has solid knowledge in a broad range of methods based on statistics and informatics and can use these for data management, analysis and problem solving
• has experience in deriving theoretical properties of methods involved in Data Science
• has experience in implementation/modification of methods involved in Data Science