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Education and Training Resources

Bioinformatics – Biomedical Data Science

University/Institute: National and Kapodistrian University of Athens (NKUA)
Location: Greece - Athens
Focus: Bioinformatics
Recommended Undergraduate Degrees: None
Degree Offered: MS/MSc/MA/M.Eng (< 1 year)MS/MSc/MA/M.Eng (Major/Primary Degree)

Key characteristics of program:

The DSIT Graduate Program is organized and administered by the prestigious Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens (NKUA), in collaboration with the Biomedical Research Foundation of the Academy of Athens (BRFAA) and the ATHENA Research and Innovation Center. The courses are taught by Professors and Researchers of the above institutions with experience in the Program’s fields of study, by PhD scientists of other institutions in Greece and abroad, as well as by experienced industry specialists.

The DSIT program awards Masters of Science (M.Sc) degrees in two specializations:

Big Data and Artificial Intelligence
Bioinformatics – Biomedical Data Science

Program Goals:

The Postgraduate Program &amp;amp;quot;Data Science and Information Technologies (DSIT)&amp;amp;quot; is by its very nature intensely interdisciplinary. Its objective is to deepen the knowledge and strengthen the skills of its students with an emphasis in Data Science, Big Data, AI, applied mathematics, statistical methods, as well as their application in Bioinformatics, Biomedical Data Science, and the Life Sciences in general.

The program focuses on subjects related to the management, processing, analysis, and software for massive or complex data, on which machine learning and AI can be based, as well as on the development of mathematical models, algorithms, statistical analysis, image analysis methods, and tools for bioinformatics, computational and systems biology, in the era of heterogeneous -omics big data aiming to improve human health.

Additional Information

Year Program Established: 2019
Scholarships/assistanceships may be available: Yes
Type of academic terms: Semester

Average number of applicants per year: 50
Average number of applicants accepted per year: 10
Average number of incoming students per year: 10
Average number of graduates per year: 10

Program URL: http://itmb.di.uoa.gr/dsitEng.html
Syllabus URL: http://itmb.di.uoa.gr/education/edu_prgspEng.html

Contact Person: Mrs Kanavou ( kkanavou@di.uoa.gr )

Last updated: Jul 30, 2018

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