Cognitive science is a field that studies intelligent systems, how they are structured, how the different parts of such systems work, and how the parts interact to produce what we normally call thinking. Typical topics we look at are knowledge representation, reasoning, memory, language, perception and emotions. Psychology is of course an important part of this, but equally important are the artificially intelligent systems implemented on computers. The computer gives us the opportunity to shape models of the various aspects of intelligence and simulate these in order to gain a better understanding of what intelligence might be.
Cognitive science is interdisciplinary and incorporates elements from computer science, information science, linguistics, psychology and philosophy. These sciences have their own perspectives on the phenomena one studies in cognitive science and make various contributions to their understanding. Central to the subject are logic, linguistics, cognitive psychology and philosophy of mind. Knowledge of computer programming is important both as a method and from a theoretical perspective. Other important elements and methodological components are covered such as statistics and discrete structures.
In the bachelor's program in cognitive science, you can, among other things, study the following topics:
Programming
Linguistics
Text processing and data
Biological and cognitive psychology
Philosophy of mind
Logic
Artificial intelligence
A candidate with a completed program must have the following total learning outcomes defined in knowledge, skills and general competence:
Knowledge:
Candidates
Diligence:
Candidates
General competence:
Candidates
1st semester
2nd semester
3rd semester
4th semester
5th and 6th semester
In the fifth semester, you choose a specialization in computer science, information science or philosophy:
Information science
Informatics
Philosophy
Optional subject
If you do not want to take one of the three specializations (information science, informatics or philosophy), you can apply to choose another subject in the fifth and sixth semester. Contact the study supervisor if you have questions or need guidance on subject choice.
The bachelor's program in cognitive science will qualify you for admission to the master's program in information science (MASV-INFO), informatics (MAMN-INF), philosophy (MAHF-FILO), or joint master's program in program development (MAMN-PROG), depending on what you choose. specialization.
The following course is included in the admission basis for the master's degree in information science:
Curriculum in Cognitive Science from before 2019: KOGVIT101, INF100, INFO102, INFO282, INFO283, 50 credits in information science (cannot be INFO100, or INFO132).
Curriculum in Cognitive Science from 2019 and later: KOGVIT101, INF100, INF101, INFO282, INF122, INFO180, 50 credits in information science (can not be INFO100, or INFO132).
See the study program pages for the master's program for more information on admission requirements.
Through the study of cognitive science, you will acquire both a professionally relevant IT competence and an academic ability for critical analysis and innovation. It gives you double skills that are in great demand in the job market. The program qualifies you for teaching and work in various subjects depending on the specialization you choose in the third year of the program.
The program can also be expanded with a master's program in several fields, which qualifies you for research and teaching within the university and college sector.
In the last part of the study program, you can specialize based on your interests. You can choose to learn information processing and programming, which are sought after in many positions in industry and in the public sector. You can also orientate yourself more towards technological innovations within various artificial intelligence topics, something that will give you skills that are in demand at companies that invest in such technology. Players such as Google, Microsoft, IBM and Apple are today very concerned with artificial intelligence.
Department of Information and Media Studies
studieveileder@ifi.uib.no