INSTITUTION: NATIONAL AND KAPODISTRIAN UNIVERSITY OF ATHENS
SCHOOL: SCHOOL OF SCIENCES
DEPARTMENT: INFORMATICS AND TELECOMMUNICATIONS
Taught in English language
DIRECTIONS: 1. Big Data and Artificial Intelligence
2. Bioinformatics – Biomedical data science
DURATION (semesters): 3
ECTS (total): 90
TUITION: 2700
Scholarship is offered
CITY: ATHENS
COOPERATION WITH OTHER INSTITUTE:
NUMBER OF STUDENTS ACCEPTED: 40
STUDENTS SELECTED BY: Application Evaluation - Interview
Part time studying is available
PART TIME DURATION (semesters): 6
OBSERVATION OPTIONS: In Person
Science and Engineering
DESCRIPTION - ACCEPTED STUDENTS CATEGORIES: The Master’s Program “Data Science and Information Technologies (DSIT)” is by its very nature intensely interdisciplinary. Its objective is to strengthen the skills of its students with an emphasis in Data Science, Big Data, AI, applied mathematics, statistical methods, as well as their applications in Bioinformatics, Computational Biology, Biomedical Data Science, and the Life Sciences in general. The program is offered by the Department of Informatics and Telecommunications at National and Kapodistrian University of Athens, in collaboration with ATHENA Research Center, and the Biomedical Research Foundation of Academy of Athens (BRFAA).
DSIT provides two specializations:
Big Data and Artificial Intelligence
Bioinformatics-Biomedical Data Science
The Program focuses on subjects related to the management, processing, analysis, and software for massive or complex data, in addition to machine learning and AI technologies, as well as on mathematical models, algorithms, statistical analysis, and image analysis methods for computational and structural biology, bioinformatics, and systems biology, in the era of genomics, proteomics, metabolomics, and other heterogeneous-omics data used for improving human health. Our graduates are fully equipped with a number of important skills that are allowing them to continue their career in research, typically towards a Ph.D., to join a wide spectrum of industrial labs and organizations, or even to create their own companies in the aforementioned and other related domains.
KEYWORDS: Data Science , Information Technologies
Helpdesk & Knowledge Base: