Learning outcomes

Proficiency

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

Skills

A graduate with a Master of Science in Data Science can familiarize themselves with complex practical problems, pinpoint problems and find suitable solution methods:

• In the master project, the student receives training to familiarize themselves with the relevant literature and to use this in an active and critical manner in relation to their own Project.
• Most master projects involve the development and use of suitable methods and algorithms that provide the student training in the use of relevant programming tools and software.

A gradaute with a Master of Science in Data Science has a good understanding of the relationship between a specific problem and the methods used to solve the problem:

• Many master projects are based on practical problems and give the students training in evaluating a suitable solution for a practical problem.

General competence

A graduate with a Master of Science in Data Science can express themselves precisely and scientifically, in Norwegian or English, both written and orally: