1st Semester
(valid till academic year 2024-2025, ongoing updates)
1st Semester
(valid till academic year 2024-2025, ongoing updates)
Course code: | BMET.101 |
Course title: | Biomedical engineering, Research Methodology and Bioethics (Required) |
Coordinator: | Dimitris Glotsos, Professor, Department of Biomedical Engineering, University of West Attica, Greece, dimglo@uniwa.gr |
Co-teachers: |
Panagiotis Liaparions, Professor, Department of Biomedical Engineering, University of West Attica, Greece, liapkin@uniwa.gr Stratos David, Associate Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece, sdavid@uniwa.gr Katerina Skouroliakou, Professor, Department of Biomedical Engineering, University of West Attica, Greece, kskourol@uniwa.gr Manolis Athanasiadis, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece, mathan@uniwa.gr Evanglia Pantatosaki, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece, epantatosaki@uniwa.gr Assistant Professor, Department of History and Philosophy of Science, National and Kapodistrian University of Athens |
Teaching method: | Intensive, within 3-4 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: | This course introduces the science of biomedical engineering, defining its scope and analyzing its main fields, such as biomedical instrumentation, medical imaging, medical signal and image processing, biomedical informatics, biomaterials, neuromechanics, and biomedical optics. It also examines research methodology, scientific writing, and professional prospects in the field of biomedical engineering. Special emphasis is placed on bioethics and professional ethics, with an analysis of historical, theoretical, and legal frameworks as well as the contemporary ethical challenges arising from technological advancement. |
Learning outcomes: |
Upon successful completion of the course, students will be able to:
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ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.102 |
Course title: | Biology-Biotechnology (Required) |
Coordinator: | Evangelia Patsavoudi, Professor, Department of Biomedical Engineering, University of West Attica, Greece epatsavoudi@uniwa.gr |
Co-teachers: |
Dr. Mimika Thomaidou, Hellenic Pasteur Institute Dr. Giorgos Panagiotou, BSRC Alexander Fleming |
Teaching method: | Intensive, within 3-4 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
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Learning outcomes: | Upon completion of this course, students will have a thorough understanding of core biological concepts and principles, including genetics, cellular biology, molecular biology, and microbiology. They will have a solid foundation in biology and biotechnology. This module includes assignments. Upon completion of the assignments, students will demonstrate their ability to apply their knowledge and skills, think critically, communicate effectively, and work collaboratively. They will enhance their problem-solving abilities, develop effective communication skills, and improve technical writing and oral presentations. Finally, this module includes field visits to research centres. Upon completion of field visits to research centers, students will have gained exposure to advanced research, practical skills, and professional connections. They will be better prepared to apply their academic knowledge in real-world contexts, make informed career choices, and understand the impact of their field of study in research. |
ECTS: | 5 |
Semester: | 1st |
Course code: | BMET.103 |
Course title: | Diagnostic Medical Imaging Systems I (Required) |
Coordinator: | Stratos David, Associate Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece sdavid@uniwa.gr |
Co-teachers: | Panagiotis Liaparions, Professor, Department of Biomedical Engineering, University of West Attica, Greece liapkin@uniwa.gr |
Teaching method: | Intensive, within 3-4 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
The purpose of the course is to study the fundamental structure of diagnostic imaging systems using non-ionizing radiation. The course analyzes the main components of Ultrasound systems and Magnetic Resonance Imaging (MRI) systems. In addition, fundamental concepts will be examined, including:
The course includes individual assignments and presentations on topics related to modern and combined imaging methods using non-ionizing radiation. |
Upon completion of the course, students will:
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5 | |
Semester: | 1st |
Course code: | BMET.104 |
Course title: | Biomedical Engineering and Career Opportunities I (Required) |
Coordinator: | Dimitris Glotsos, Professor, Department of Biomedical Engineering, University of West Attica, Greece dimglo@uniwa.gr |
Co-teachers: | Panagiotis Liaparions, Professor, Department of Biomedical Engineering, University of West Attica, Greece liapkin@uniwa.grStratos David, Associate Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece sdavid@uniwa.grManolis Athanasiadis, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece mathan@uniwa.gr George Loudos, Co-Founder, CEO BIOEMTECH george@bioemtech.com Invited biomedical engineers from the industry sector |
Teaching method: | Intensive, within 3-4 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: | Invited experts from the industry sector will deliver to specialized seminars regarding the real-world conditions, outlook and prospects of the biomedical engineering profession. Seminars will include
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Learning outcomes: |
Upon successful completion of the course, students will be able to:
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ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.105 |
Course title: | Biostatistics (Elective) |
Coordinator: | Spiros Kostopoulos, Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece skostopoulos@uniwa.gr |
Co-teachers: | Manolis Athanasiadis, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece mathan@uniwa.gr |
Teaching method: | Intensive, within 3 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: | This course focuses on understanding the fundamental concepts of statistics and their application in health sciences research. Its aim is to enable students to assimilate the taught material and apply their knowledge both in their professional environment and in broader applications of biostatistics and probability, which are essential for studying problems encountered by biomedical engineers. Students will apply their knowledge to real-world biostatistical problems, analyze data using modern biostatistical tools, and evaluate findings. |
Learning outcomes: |
The learning outcomes of the course are designed to provide students with a fundamental understanding of statistical concepts and methods. These outcomes aim to equip students with the necessary skills for data analysis and interpretation, evidence-based decision-making, and the application of statistical techniques. Upon completion, students will be able to:
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ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.106 |
Course title: | Machine Learning in Medicine and Biology (Elective) |
Coordinator: | Dionisis Cavouras, Professor Emeritus, Department of Biomedical Engineering, University of West Attica, Greece cavouras@uniwa.gr |
Co-teachers: | Cristina Soguero Ruiz, Assistant Professor, Dpto. Teoría de la Señal y Comunicaciones y Sistemas, Universidad Rey Juan Carlos, Spain cristina.soguero@urjc.es |
Teaching method: | Intensive, within 3 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
Course Content: The purpose of this course is to study the methodologies used in the design of Machine Learning systems for applications in medicine and biology. Topics include:
The course also covers supervised Machine Learning methodologies for algorithm design in programming languages, applied to classification of diseases and disease prediction. Students are further trained in the design of unsupervised and deep learning systems using real medical or biological data and modern software libraries. |
Learning outcomes: |
Upon completion of the course, students will be able to:
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ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.107 |
Course title: | Biomedical marketing (Elective) |
Coordinator: | Panagiotis Zoumpoulakis, Associate Professor, Department of Food Science and Technology, University of West Attica, Greece pzoump@uniwa.gr |
Co-teachers: |
Yiannis Troulis, BCOM, MBA, CEO, TTMI Consulting LTD. |
Teaching method: | Intensive, within 3 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
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Learning outcomes: | Upon completion of the course, students will be able to critically analyze and apply fundamental marketing concepts within the context of the biomedical industry. They will demonstrate an understanding of customer value, perceived cost, satisfaction, and how these influence the success of biomedical products and services. Students will apply tools such as SWOT analysis, Porter’s Five Forces, and the marketing mix to assess market opportunities, segment biomedical markets, and develop targeted marketing strategies. They will evaluate product levels and life cycles, construct compelling value propositions, and differentiate products through branding and innovation. Moreover, they will gain insight into the structure and dynamics of the biomedical market, including key figures and trends. Through the integration of innovation and technology transfer principles, students will learn how intellectual property rights, funding mechanisms, and R&D performance shape the commercialization of biomedical technologies. The course will enhance students’ critical thinking, strategic planning, and communication skills, enabling them to develop and present coherent, evidence-based marketing plans for biomedical products or services. |
ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.108 |
Course title: | Biomaterials Science and Engineering (Elective) |
Coordinator: | Ioannis Loukos, Deputy Technical Director at EKAB (National Centre of Emergency Care), Greece ioannisloukos@gmail.com |
Alexander Besinis, Associate Professor in Mechanical Engineering, School of Engineering, University of Plymouth, UK alexander.besinis@plymouth.ac.ukEvanglia Pantatosaki, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece epantatosaki@uniwa.gr |
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Teaching method: | Intensive, within 3 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
This course familiarizes graduate students with the science and engineering of biomaterials and their modern applications, emphasizing the relationship between structure–properties–processing–performance for optimizing biomaterial design across scales, tailored to biomedical applications. It covers the microscopic structure of biomaterials, their physicochemical, mechanical, and interfacial properties. Special attention is given to in vivo corrosion and degradation, and the mechanical response of materials to applied loads comparable to those in biological tissues. The course explores both traditional biomaterials (metals, ceramics, polymers, composites) and advanced biomaterials (Porous Coordination Polymers, Metal-Organic Frameworks, Zeolitic Imidazolate Frameworks, Graphene, Carbon Nanotubes, Lipid and Lipopeptide Nanoparticles, etc.) for targeted therapies, genetic vaccines, multifunctional scaffolds for tissue engineering, and novel in vitro diagnostic tools. The course concludes with the study of molecular interactions between materials and biological tissues, aiming to understand the mechanisms of successful in vivo integration of biomaterials and minimizing adverse biological responses. |
Learning outcomes: |
Upon successful completion of the course, students will be able to:
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ECTS: | 4 |
Semester: | 1st |
Course code: | BMET.109 |
Course title: | Applied Neuroanatomy and Neurological Disorders (Elective) |
Coordinator: | Theodosis Kalamatianos, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece tkalamatianos@uniwa.gr |
Co-teachers: | – |
Teaching method: | Intensive, within 3 weeks (lectures + on-site visits + project) Exams: Quiz paper + project assignment + project presentation |
Course contents: |
The aim of the course is to understand the structural and functional organization of the nervous system and how this knowledge supports modern diagnostic and therapeutic applications in neurological disorders. The course consists of:
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Upon completion of the course, students will:
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ECTS: | 4 |
Semester: | 1st |
For the successful completion of the MSc program a minimum of ninety (90) ECTS is required, with at least 30 ECTS per semester.
For the 1st and 2nd semester, students should successfully complete all Required courses of each semester (Required courses are assigned with 15 ECTS) and select at least three Elective courses (Elective courses are assigned with 5 ECTS each).
For the 3rd semester, students should successfully complete the Diploma thesis (Diploma thesis is assigned with 30 ECTS). Guidelines for Diploma Thesis can be found here.
The detailed examination regulation may be found at the Program structure and Internal Regulation document.