Türkçe
Graduate School Of Natural And Applied Sciences Bioinformatics

Qualification Awarded

Master of Science

Specific Admission Requirements

Having an ALES grade of at least 55. Having a YDS or equal exam grade of at least 60. To be able to pass the science exam which is made before acceptance

Qualification Requirements

To successfully complete 90.0 ECTS lessons of Bioinformatics Graduate Program. Having a GPA 3.00 from 4.00. Acceptance of master thesis.

Recognition of Prior Learning

Graduate transfer students due to their academic success, are accepted to our program within quota determined at the beginning of the academic year.

History

Our programme started accepting first graduate students in Fall semester of 2015-2016 academic year.

Profile of the Programme

Averagely 20 graduate students are accepted to our programme for each year

Program Outcomes

1- Ability of applying computer science , biological and biomedical science knowledge in bioinformatics area
2- To gain ability of analysis, comment, evaluation and dealing with theoretical and experimental studies in field, office and laboratory
3- To gain ability of designing and implementation of bioinformatics systems and elements
4- To obtain ability of working, execution and managing in interdisciplinary atmosphere with a team harmony
5- Ability of determining, defining and fixing bioinformatics problems
6- To understand and adopt the concept of professionalism, occupational ethics and responsibility
7- Ability of effective written and oral communication
8- Having ability of finding sustainable, local and global solutions to bioinformatics problems with integrated to environmental
9- Having awareness of learning is continuous and faith of preservation of this awareness
10- Knowledge of current and modern Bioinformatics topics
11- Ability of using modern bioinformatics tools needed for bioinformatics applications

Exam Regulations & Assesment & Grading

Graduation Requirements

To successfully complete 90.0 ECTS lessons of Bioinformatics Graduate Program. Having a GPA 3.00 from 4.00. Acceptance of master thesis.

Occupational Profiles of Graduates

Access to Further Studies

Mode of Study

This bioinformatics graduate program aims students • to specialize in Bioinformatics by learning how to produce modern technologies and apply new technologies, • to prepare multidisciplinary projects that will be beneficial to our country's competitiveness in the international arena or to support this project, • to specialize in the design of personalized medicine products (translational bioinformatics), • to solve problems they encounter with outstanding communication and leadership skills, • to understand the scientific research process well by creating sufficient awareness of the latest research issues, • to make contributions to Bioinformatics by issuing scientific articles through their thesis, • to acquire competencies that can provide competent and effective state social services • to perform multi-disciplinary projects in collaboration with other disciplines who need to use their Bioinformatics knowledge • to contribute to the development of a national bioinformatics industry.

Programme Director

Asist Prof.Dr. Tuğba Önal-Süzek

ECTS Coordinator

Asist Prof.Dr. Tuğba Önal-Süzek

Course Structure Diagram with Credits

1. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5090 SEMINAR Required 0 2 6
BINF5099 Scientific Research Techniques and Publication Ethics Required 3 0 6
BINF5501 INTRODUCTION TO BIOINFORMATICS Elective 3 0 6
BINF5503 MODERN METHODS IN DRUG DISCOVERY Elective 3 0 6
BINF5505 AGENT-BASED MODELLING AND SIMULATION Elective 3 0 6
BINF5507 MICROARRAY DATA ANALYSIS Elective 3 0 6
BINF5509 TRANSLATIONAL BIOINFORMATICS Elective 3 0 6
BINF5511 DATA VISUALIZATION Elective 3 0 6
BINF5513 DATA PRIVACY AND SECURITY FOR BIOINFORMATICIANS Elective 3 0 6
BINF5515 METAGENOMİCS Elective 3 0 6
BINF5517 BIOMEDICAL SEMANTICS Elective 3 0 6
BINF5519 MOLECULAR GENETIC TECHNOLOGIES Elective 3 0 6
BINF5701 SPECIAL STUDIES Required 4 0 6
       
1. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5502 PROTEIN STRUCTURE ANALYSIS Elective 3 0 6
BINF5504 BIOINFORMATICS PROGRAMMING Elective 3 0 6
BINF5506 STATISTICAL METHODS FOR BIOINFORMATICS Elective 3 0 6
BINF5508 PROTEINS AND PROTEOMICS Elective 3 0 6
BINF5510 ALGORITHMS IN BIOINFORMATICS Elective 3 0 6
BINF5512 POPULATION GENOMICS Elective 3 0 6
BINF5516 NANOTECHNOLOGY IN MEDICINE Elective 3 0 6
BINF5518 ADVANCED MOLECULAR AND CELLULAR BIOLOGY Elective 3 0 6
BINF5702 SPECIAL STUDIES Required 4 0 6
       
2. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5000 M.SC.THESIS Required 0 0 24
BINF5703 SPECIAL STUDIES Required 4 0 6
       
2. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5704 SPECIAL STUDIES Required 4 0 6
       
 

Evaluation Questionnaires

Course & Program Outcomes Matrix

1. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
SEMINAR           
Scientific Research Techniques and Publication Ethics           
INTRODUCTION TO BIOINFORMATICS           
MODERN METHODS IN DRUG DISCOVERY           
AGENT-BASED MODELLING AND SIMULATION           
MICROARRAY DATA ANALYSIS           
TRANSLATIONAL BIOINFORMATICS           
DATA VISUALIZATION           
DATA PRIVACY AND SECURITY FOR BIOINFORMATICIANS           
METAGENOMİCS           
BIOMEDICAL SEMANTICS           
MOLECULAR GENETIC TECHNOLOGIES           
SPECIAL STUDIES           
            
1. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
PROTEIN STRUCTURE ANALYSIS           
BIOINFORMATICS PROGRAMMING           
STATISTICAL METHODS FOR BIOINFORMATICS           
PROTEINS AND PROTEOMICS           
ALGORITHMS IN BIOINFORMATICS           
POPULATION GENOMICS           
NANOTECHNOLOGY IN MEDICINE            
ADVANCED MOLECULAR AND CELLULAR BIOLOGY           
SPECIAL STUDIES           
            
2. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
M.SC.THESIS           
SPECIAL STUDIES           
            
2. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
SPECIAL STUDIES           
            
 

Muğla Sıtkı Koçman Üniversitesi, 48000 Kötekli/Muğla | Tel: + 90 (252) 211-1000 | Fax: + 90 (252) 223-9280
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