Cognitive and Clinical Neuroscience

General characteristics:

Graduates will possess interdisciplinary knowledge and skills in cognitive and clinical neuroscience, combining theory and practice in research on brain functioning, cognitive, emotional, and social processes. With the competencies gained, they will be able to apply statistical analysis to interpret empirical data, evaluate the research techniques used, and select diagnostic tools and techniques in the clinical diagnosis process.

Throughout their studies, graduates will acquire skills in:

Critical analysis of philosophical and methodological issues – through courses in the philosophy of science, philosophy of information, and philosophical problems in cognitive science, graduates will develop the ability to evaluate theoretical and methodological assumptions in neuroscience and cognitive sciences. They will be able to recognize the limitations and possibilities of different models explaining the functioning of the mind and reflect critically on the boundaries of scientific knowledge.

Analysis and modeling of cognitive processes – mastering computational modeling and data analysis methods in cognitive neuroscience, allowing them to study learning, memory, language, and emotion mechanisms,

Programming, modeling, and data analysis, including large data set analysis (Big Data), artificial intelligence, and algorithm design to support diagnostics,

Diagnostic methods and cognitive function assessment – learning neuroimaging techniques, neuropsychological clinical diagnosis, and methods for assessing brain function and structure in individuals with mental disorders and selected neurological disorders,

Working in interdisciplinary teams – gaining the ability to collaborate with psychologists, neurologists, computer scientists, and neuropsychological rehabilitation specialists, as well as implementing technological solutions to support people with disabilities,

Analysis and interpretation of empirical data – mastering advanced statistical analysis techniques and data processing, allowing for the assessment of the effectiveness of therapeutic and intervention methods,

Study time: 2 years

Form of study: stationary

Career prospects:

The skills acquired in analyzing, diagnosing, and interpreting cognitive, computational, and social phenomena will be valuable in many professional fields. The competencies gained during the studies will find application in supporting clinical diagnosis and research on brain function and structure in individuals with mental and selected neurological disorders, in developing technologies to support people with disabilities, as well as in supporting the functioning of individuals with mental and selected neurological disorders.

Graduates will be prepared to work in research institutions, in educational and health sectors (including rehabilitation centers), in research and technology sectors using the analytical, computational, and diagnostic skills acquired during their studies. Additionally, as clinical analysts, graduates will be able to actively participate in the diagnostic process, supporting medical teams in formulating diagnoses through their analytical and interpretive skills. Their competencies include conducting research, performing analyses, and preparing diagnostic reports, making them valuable specialists in interdisciplinary medical and research teams.

Graduates of the program will be prepared to work in, among others:

• Research institutes and neuroscience laboratories
• Diagnostic and clinical centers
• Companies specializing in artificial intelligence and data analysis
• Neuropsychological rehabilitation centers
• The educational and training sectors
• Research and development teams working on technologies supporting people with disabilities
• Scientific teams applying neuroimaging techniques in research on psychiatric and neurological patients.

Cognitive and clinical neuroscience is offered by the Faculty  Wydział Filozofii Chrześcijańskiej.

Zapisz się na studia: