Objectives of the MSc<\/h2><\/div>The Master of Science (MSc) “Applied Bioinformatics – Biological Data Analysis” (MBA-ABD) aims to promote knowledge, develop research and the science of Applied Bioinformatics and Biological Data Analysis, meet the educational, research, social and developmental needs of the country, in high-level postgraduate teaching, research and practical training of graduates in the scientific field of Natural Sciences with an emphasis on the biological direction and its applications, through Bioinformatics tools. This scientific field is part of the Biological Sciences, Life Sciences and Informatics, as well as the Sciences of Applied Mathematics and Biostatistics, as it combines different scientific specializations with the aim of processing and interpreting the increasingly available data in these sciences. The modern scientist is required to combine the knowledge he has acquired regarding the tools and techniques of Molecular Biology and Genetics, with knowledge and skills in Bioinformatics, Data Processing and Analysis, and Biostatistics in order to gain access to a professional sector that is experiencing great growth and demand.<\/p>\n<\/div><\/div><\/div>
![\"Microscope](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27433%27%20height%3D%27580%27%20viewBox%3D%270%200%20433%20580%27%3E%3Crect%20width%3D%27433%27%20height%3D%27580%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" "\\"Microscope")
<\/span><\/div><\/div><\/div><\/div><\/div>The normal duration of study in the Postgraduate program leading to the award of the Postgraduate Diploma is set at a minimum of two (2) semesters and the summer period (intensive program), (75 ECTS), in accordance with the provisions of Law L. 4957\/2022, which also includes the time for the preparation and submission for assessment of the Postgraduate Diploma Thesis (MDE). The MDE is prepared during the summer period and corresponds to thirty (30) ECTS, of which fifteen (15) correspond to the mandatory course of the 2nd semester \u201cMethodology of Postgraduate Diploma Thesis\u201d and the other fifteen (15) ECTS to the preparation and presentation of the MDE during the summer period.<\/p>\n
The objectives of the PMS \u201cApplied Bioinformatics \u2013 Biological Data Analysis\u201d are as follows:<\/p>\n
\u25cf the specialization and scientific training of graduates of University Institutions of Biological Sciences, Health Sciences, Natural Sciences and Polytechnic Schools with knowledge and skills aimed at the methodical study of scientific and technological issues of Applied Bioinformatics and Data Analysis,<\/p>\n
\u25cf the lifelong education, the provision and updating of knowledge of new subjects of the science of Bioinformatics and Data Analysis, especially with regard to data resulting from cutting-edge technologies of Molecular Biology such as next-generation sequencing (NGS),<\/p>\n
\u25cf the preparation of students who would like to continue their academic development at the doctoral level as well as to pursue careers in private and public research institutions, aiming at effectively addressing scientific and technological problems, increasing productivity and adequately covering the growing needs of the country and the European Union and<\/p>\n
\u25cf the promotion of the computational side of Biological Sciences through the acquisition of programming knowledge and data analysis skills and their widest possible application in technology, production, industry, and administration.<\/p>\n
Upon completion of the Master of Science (MSc) \u201cApplied Bioinformatics \u2013 Biological Data Analysis\u201d, graduates will be able to:<\/p>\n
\u25cf know the basic concepts and principles of the scientific fields of Bioinformatics and Data Analysis and understand their connection with biological subjects such as Molecular Biology, Genetics and Genomics, Proteomics and Biochemistry,<\/p>\n
\u25cf describe and apply the scientific method of observation, experimentation, hypothesis formulation and hypothesis testing and have basic knowledge of the methodology of the basic workflows of Applied Bioinformatics and Biological Data Analysis,<\/p>\n
\u25cf know applications of Applied Bioinformatics and Biological Data Analysis in the fields of health, agrobiology and the environment and understand the potential of the field to contribute to the needs caused by modern global environmental problems such as climate crisis, biodiversity degradation, epidemic outbreaks and the food crisis in the context of sustainable development,<\/p>\n
\u25cf organize biological data analysis workflows, perform analyses accurately, safely and consistently and resolve any problems that arise using critical and analytical thinking,<\/p>\n
\u25cf collect, process, evaluate and interpret biological data using appropriate methods,<\/p>\n
\u25cf formulate research questions in the field of Applied Bioinformatics and Biological Data Analysis and design the research steps required to answer them using an appropriate approach,<\/p>\n
\u25cf have skills in documented written and oral presentation of scientific data and ideas,<\/p>\n
\u25cf extract data and information from the global scientific literature and electronic data repositories, evaluate and process them appropriately with critical thinking,<\/p>\n
\u25cf recognize ethical issues arising from the applications of collection and processing biological data and propose solutions with social sensitivity, respect for fellow human beings without discrimination and prejudice.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-1641","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/comments?post=1641"}],"version-history":[{"count":5,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641\/revisions"}],"predecessor-version":[{"id":1873,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641\/revisions\/1873"}],"wp:attachment":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/media?parent=1641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
The Master of Science (MSc) “Applied Bioinformatics – Biological Data Analysis” (MBA-ABD) aims to promote knowledge, develop research and the science of Applied Bioinformatics and Biological Data Analysis, meet the educational, research, social and developmental needs of the country, in high-level postgraduate teaching, research and practical training of graduates in the scientific field of Natural Sciences with an emphasis on the biological direction and its applications, through Bioinformatics tools. This scientific field is part of the Biological Sciences, Life Sciences and Informatics, as well as the Sciences of Applied Mathematics and Biostatistics, as it combines different scientific specializations with the aim of processing and interpreting the increasingly available data in these sciences. The modern scientist is required to combine the knowledge he has acquired regarding the tools and techniques of Molecular Biology and Genetics, with knowledge and skills in Bioinformatics, Data Processing and Analysis, and Biostatistics in order to gain access to a professional sector that is experiencing great growth and demand.<\/p>\n<\/div><\/div><\/div>
![\"Microscope](\"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-content\/uploads\/2016\/11\/research_big_icon.png\" "\\"Microscope"){kind=icon}
<\/span><\/div><\/div><\/div><\/div><\/div>The normal duration of study in the Postgraduate program leading to the award of the Postgraduate Diploma is set at a minimum of two (2) semesters and the summer period (intensive program), (75 ECTS), in accordance with the provisions of Law L. 4957\/2022, which also includes the time for the preparation and submission for assessment of the Postgraduate Diploma Thesis (MDE). The MDE is prepared during the summer period and corresponds to thirty (30) ECTS, of which fifteen (15) correspond to the mandatory course of the 2nd semester \u201cMethodology of Postgraduate Diploma Thesis\u201d and the other fifteen (15) ECTS to the preparation and presentation of the MDE during the summer period.<\/p>\n
The objectives of the PMS \u201cApplied Bioinformatics \u2013 Biological Data Analysis\u201d are as follows:<\/p>\n
\u25cf the specialization and scientific training of graduates of University Institutions of Biological Sciences, Health Sciences, Natural Sciences and Polytechnic Schools with knowledge and skills aimed at the methodical study of scientific and technological issues of Applied Bioinformatics and Data Analysis,<\/p>\n
\u25cf the lifelong education, the provision and updating of knowledge of new subjects of the science of Bioinformatics and Data Analysis, especially with regard to data resulting from cutting-edge technologies of Molecular Biology such as next-generation sequencing (NGS),<\/p>\n
\u25cf the preparation of students who would like to continue their academic development at the doctoral level as well as to pursue careers in private and public research institutions, aiming at effectively addressing scientific and technological problems, increasing productivity and adequately covering the growing needs of the country and the European Union and<\/p>\n
\u25cf the promotion of the computational side of Biological Sciences through the acquisition of programming knowledge and data analysis skills and their widest possible application in technology, production, industry, and administration.<\/p>\n
Upon completion of the Master of Science (MSc) \u201cApplied Bioinformatics \u2013 Biological Data Analysis\u201d, graduates will be able to:<\/p>\n
\u25cf know the basic concepts and principles of the scientific fields of Bioinformatics and Data Analysis and understand their connection with biological subjects such as Molecular Biology, Genetics and Genomics, Proteomics and Biochemistry,<\/p>\n
\u25cf describe and apply the scientific method of observation, experimentation, hypothesis formulation and hypothesis testing and have basic knowledge of the methodology of the basic workflows of Applied Bioinformatics and Biological Data Analysis,<\/p>\n
\u25cf know applications of Applied Bioinformatics and Biological Data Analysis in the fields of health, agrobiology and the environment and understand the potential of the field to contribute to the needs caused by modern global environmental problems such as climate crisis, biodiversity degradation, epidemic outbreaks and the food crisis in the context of sustainable development,<\/p>\n
\u25cf organize biological data analysis workflows, perform analyses accurately, safely and consistently and resolve any problems that arise using critical and analytical thinking,<\/p>\n
\u25cf collect, process, evaluate and interpret biological data using appropriate methods,<\/p>\n
\u25cf formulate research questions in the field of Applied Bioinformatics and Biological Data Analysis and design the research steps required to answer them using an appropriate approach,<\/p>\n
\u25cf have skills in documented written and oral presentation of scientific data and ideas,<\/p>\n
\u25cf extract data and information from the global scientific literature and electronic data repositories, evaluate and process them appropriately with critical thinking,<\/p>\n
\u25cf recognize ethical issues arising from the applications of collection and processing biological data and propose solutions with social sensitivity, respect for fellow human beings without discrimination and prejudice.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-1641","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/comments?post=1641"}],"version-history":[{"count":5,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641\/revisions"}],"predecessor-version":[{"id":1873,"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/pages\/1641\/revisions\/1873"}],"wp:attachment":[{"href":"https:\/\/bioinfo.mbg.duth.gr\/new-web\/wp-json\/wp\/v2\/media?parent=1641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}