Türkçe
Graduate School Of Natural And Applied Sciences Bioinformatics

Qualification Awarded

Master of Science

Specific Admission Requirements

Having an ALES grade of at least 60. To be able to pass the science exam which is made before acceptance. To be a graduate of a Medicine, Engineering and Science related department. To have aGPA of at least 2.7

Qualification Requirements

To successfully complete 120.0 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

On average 4 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

Exams, homeworks, thesis

Graduation Requirements

To successfully complete 120.0 ECTS lessons of Bioinformatics Graduate Program. Having a GPA 3.00 from 4.00. Acceptance of master thesis.

Occupational Profiles of Graduates

Research centers

Access to Further Studies

Students can apply any Bioinformatics PhD programme after this degree.

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
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
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
BINF5521 STEM CELLS AND REGENERATİVE MEDİCİNE Elective 3 0 6
BINF5523 GAMIFICATION AND SIMULATIONS IN MEDICINE Elective 3 0 6
BINF5525 IMMUNOLOGICAL BIOINFORMATICS Elective 3 0 6
BINF5527 Machine Learning in Bioinformatics Elective 3 0 6
BINF5529 Biosensor Systems Elective 3 0 6
BINF5531 High Throughput Experiment Analysis Elective 3 0 6
BINF5721 SPECIAL STUDIES Required 4 0 6
FBE5080 Research Methods and Scientific Ethics ** Required 2 0 2
FBE5550 Project Development and Management Elective 3 0 6
       
1. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
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
BINF5522 PROTEIN STRUCTURE ANALYSIS Elective 3 0 6
BINF5526 ADVANCED MOLECULAR AND CELLULAR BIOLOGY Elective 3 0 4
BINF5528 Chemical Glycobiology Elective 3 0 6
BINF5530 Biological Database Management Systems Elective 3 0 6
BINF5722 SPECIAL STUDIES Required 4 0 6
BINF5790 SEMINAR Required 0 2 6
       
2. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5723 SPECIAL STUDIES Required 4 0 6
BINF5802 M.Sc. Thesis Required 0 0 24
       
2. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BINF5724 SPECIAL STUDIES Required 4 0 6
       
 

Evaluation Questionnaires

Course & Program Outcomes Matrix

0 - Etkisi Yok, 1 - En Düşük, 2 - Düşük, 3 - Orta, 4 - Yüksek, 5 - En Yüksek

1. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
INTRODUCTION TO BIOINFORMATICS           
MODERN METHODS IN DRUG DISCOVERY           
AGENT-BASED MODELLING AND SIMULATION           
TRANSLATIONAL BIOINFORMATICS           
DATA VISUALIZATION           
DATA PRIVACY AND SECURITY FOR BIOINFORMATICIANS           
METAGENOMİCS           
BIOMEDICAL SEMANTICS           
MOLECULAR GENETIC TECHNOLOGIES           
STEM CELLS AND REGENERATİVE MEDİCİNE           
GAMIFICATION AND SIMULATIONS IN MEDICINE           
IMMUNOLOGICAL BIOINFORMATICS           
Machine Learning in Bioinformatics1345433111 
Biosensor Systems           
High Throughput Experiment Analysis           
SPECIAL STUDIES54454545445
Research Methods and Scientific Ethics **11221552541
Project Development and Management           
            
1. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
STATISTICAL METHODS FOR BIOINFORMATICS           
PROTEINS AND PROTEOMICS           
ALGORITHMS IN BIOINFORMATICS           
POPULATION GENOMICS           
NANOTECHNOLOGY IN MEDICINE            
PROTEIN STRUCTURE ANALYSIS           
ADVANCED MOLECULAR AND CELLULAR BIOLOGY           
Chemical Glycobiology           
Biological Database Management Systems5543445111 
SPECIAL STUDIES54454545445
SEMINAR54445433425
            
2. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
SPECIAL STUDIES54454545445
M.Sc. Thesis           
            
2. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11
SPECIAL STUDIES54454545445
            
 

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