DEGREE PROGRAMMES

: Biomedicine and Health Technologies

General Description

History

Department of Biomedicine and Health Technologies was established in 2016 with the approval of YOK. Our department has 18 professors competent in various fields of biomedicine and health technologies. Biomedicine and Health Technologies graduate programs started training in 2020-2021 Academic year. The duration of the program is 4 semesters and total 2 years. The language of the program is English.

Qualification Awarded

Doctorate Degree in Biomedicine and Health Technologies (PhD)

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle (Master's Degree) diploma.. Minimum GPA 80/100 or 3/4, minimum score of 60 from the National Central Graduate Education Entrance Examination (ALES) in the related fields, or 50 in graduate medical residency examination (TUS) minimum score of 60 from the Foreign Language Exams (YDS) or the equivalent exams scores obtained fromTOEFLetc, and being successful at the science examination of the Institute in the related fields (minimum score of 75)

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

A successful student who has completed at least one semester at any postgraduate programme may be admitted to an institute at the University by lateral transfer. Requirements for admission of students by lateral transfer are determined by the Board of Directors of the Institute.Students who have matriculated after they have successfully passed the postgraduate entrance exam may be exempted from the courses they have already taken in other institutes upon the proposal of the relevant department and the approval of the Board of Directors of the Institute. However, the total credits of the exempted courses cannot exceed 1/3 of the credits required to finish the relevant programme.

Qualification Requirements and Regulations

In order to graduate from the program, it is necessary to acquire 105 ECTS credits (including 3 ECTS seminars and 21 ECTS specialized field) from the courses and 135 ECTS credits from thesis. A total of 240 ECTS credits must be acquired. The minimum GPA should be 2.50 / 4.00 for each course.

Profile of the Programme

The department of Biomedicine and Health Technologies started graduate training in 2021. The objectives of this programme are to educate individuals having an advanced maitrise of basic and up-dated theoretical and laboratory information in biomedicine and health technologies and closely related fields, to train students in basic laboratory skills as well as those skills necessary for performing independent research: to train them in advanced data searching, project writing, project management, international scientific communication, and writing of scientific articles.

Key Learning Outcomes

1   Acquiring knowledge in the fields of biomedicine, health technology, bioinformatics and bioengineering techniques
2   Having knowledge of in vitro, in vivo and clinical research methods
3   Being able to use basic health technology and bioinformatics and bioengineering methods
4   Understanding research process from hypothesis generation to final presentation of results.
5   Being able to generate testable research questions from observations.
6   Being able to scan the literature, conduct a research project, record and analyze data
7   Knowing and practicing all relavent National/ International/ Professional, Ethic and Legal Regulations in Specified Field
8   Displaying effective communication skills including oral and written presentation.

Occupational Profiles of Graduates with Examples

Access to Further Studies

Graduates may apply to post doctoral studies.

Course Structure Diagram with Credits


T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
ALL COURSES
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
Z 1 MBG 6112 DATABASES IN BIOINFORMATICS ELECTIVE 3 0 0 12
Z 2 BST 6018 METHODS IN GENE REGULATION ELECTIVE 3 0 0 12
Z 3 BST 6017 STEM CELLS AND REGENERATION ELECTIVE 3 0 0 12
Z 4 BST 6016 ADVANCED TOPICS IN OMICS TECHNOLOGIES ELECTIVE 3 0 0 12
Z 5 BST 6019 CHROMATIN AND TRANSCRIPTION ELECTIVE 3 0 0 12
Z 6 MBG 6108 ADVANCED LABORATORY TECHNIQUES IN GENOMICS ELECTIVE 3 0 0 12
Z 7 MBG 6111 GENOME EDITING TECHNOLOGIES ELECTIVE 3 0 0 12
Z 8 MBG 6114 HIGH THROUGHPUT GENOMIC DATA ANALYSIS ELECTIVE 3 0 0 12
Z 9 MBG 6133 BIOINFORMATICS DATA SKILLS ELECTIVE 3 0 0 12
Z 10 BST 6001 BIOMEDICINE AND HEALTH TECHNOLOGIES ELECTIVE 3 0 0 15
Z 11 BST 6003 ADVANCED RESEARCH METHODS ELECTIVE 3 0 0 15
Z 12 BST 6002 BIOLOGICAL DATA INTEGRATION ELECTIVE 3 0 0 12
Z 13 BST 6004 SYSTEMS BIOLOGY ELECTIVE 3 0 0 12
Z 14 BST 6005 ARTIFICAL INTELLIGENCE FOR BIOLOGICAL APPLICATIONS ELECTIVE 3 0 0 12
Z 15 BST 6006 MACHINERY OF LIFE ELECTIVE 3 0 0 12
Z 16 BST 6007 COMPUTATIONAL STRUCTURAL BIOLOGY TECHNIQUES ELECTIVE 3 0 0 12
Z 17 BST 6008 MOLECULAR BIOPHYSICS ELECTIVE 3 0 0 12
Z 18 BST 6009 COMPUTATIONAL GENOMICS ELECTIVE 3 0 0 12
Z 19 BST 6010 BIOENGINNERING STEM CELL MICROENVIRONMENT ELECTIVE 3 0 0 12
Z 20 BST 6011 ASSEMBLY TECHNIQUES IN BOTTOM UP TISSUE ENGINEERING ELECTIVE 3 0 0 12
Z 21 BST 6012 APPLICATIONS OF GENOME ENGINEERING IN BIOMEDICINE ELECTIVE 3 0 0 12
Z 22 BST 6013 AVDANCES IN OPTICAL COHERENCE TOMOGRAPHY ELECTIVE 3 0 0 12
Z 23 BST 6014 ADVANCES IN BIOMEDICAL OPTICS ELECTIVE 3 0 0 12
Z 24 BST 6015 ADVANCED TOPICS IN GENOMIC MEDICINE ELECTIVE 3 0 0 12
G 25 MBG 6102 PHILOSOPHY OF SCIENCE AND ETHICS REQUIRED 3 0 0 3
G 26 BST 6099 THESIS THESIS 0 0 0 135
G 27 MBG 6096 SEMINAR SEMINAR 0 3 0 3
B 28 BST 6098 SPECIALIZED FIELD EXPERTNESS 0 3 0 21

Examination Regulations, Assessment and Grading

Assessment of the students success is done with 1 midterm exam 1 final exam, 1 makeup exam, assignments and projects. To be successful in this course the grade received must be minimum 75 / 100.

Graduation Requirements

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Assoc. Prof. Dr. Gökhan Karakülah
gokhan.karakulah@deu.edu.tr