|Nominal duration||4 years (240 ECTS)|
|Tuition fee||$15,000.00 per year
KHAS has an extensive scholarship program to support well-qualified international students in their studies at KHAS. 25% to 50% tuition waiver scholarships are available for undergraduate studies.
Every international student application for a KHAS academic program is evaluated for a scholarship. No separate scholarship application is necessary. Tuition reduction scholarships are awarded based on academic merit. High international or national examination scores and graduation grades are taken into consideration. Tuition reduction scholarships, are subject to maintain a min. of 1.5 GPA at the end of each academic year.
High school / secondary education (or higher)
Copy of an official high school transcript national or internationally recognized test results or provisional results if not available by the time of submission.
Country Based Admission Criteria: www.khas.edu.tr/en/international2/prospective-international-students/full-time-international-students/undergradaute-applicants-2/who-can-apply-as-an-international-student.html
The entry qualification documents are accepted in the following languages: English / Turkish.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
You must take verified copies of the entry qualification documents along with you when you finally go to the university.
Copy of English language proficiency test results if available. The following examination results are accepted at Kadir Has University:
TOEFL-IBT min. 79
In today’s world molecular biology, biochemistry and other biological fields are becoming increasingly information driven. Mainly the need of processing massive quantities of sequence information generated by recent developments in genome sequencing and proteome analysis has propelled these life sciences into a new era in which computer science, information technologies, and biology merged into a single discipline as bioinformatics. Accordingly genetics in conjunction with bioinformatics have been changing the old view in clinical diagnostics. By comprehensive genetic testing, individuals who are more susceptible to disease can be identified before any disease even exists. This way early predictive measures can be taken. Moreover personalized drug design, to tailor a specialized treatment based on your genetic makeup, seems to be a standard way of disease treatment in the near future.
In our department we concentrate on computer-aided drug design. In computer aided drug design a receptor molecule of the disease-causing mechanism is modelled in the computer. Succeedingly a drug molecule is designed to interact with the receptor molecule in such a way to fix malfunctioning mechanism of the protein. The candidate drug molecule can be a novel chemical structure which has been not synthesized before as well as a match from a database of already known drug molecules. This way of in silico computations of drug-enzyme interactions significantly shortens the process of experimental drug design for the target receptor.
Dynamics of the receptors to which drug molecules bind to is another field of study in our department. Understanding the functioning mechanism of the receptor is the very first step towards developing a way to interfere with its working mechanism. These receptor molecules are dynamic structures and the structural fluctuations in their dynamics is related to how they function Thus we are aiming to understand how these dynamic structures are functioning depending on different environment factors.
We are also interested in enhanced simulation techniques to investigate the functional dynamics of ion channel membrane proteins. Malfunctioning of ion channels is directly related to various neuro and neuromuscular diseases, such as epilepsy, Alzheimer’s, Parkinson’s and Huntington’s. These proteins are very hard to simulate due to the lack of experimental structural information in addition to their size when lipid bilayer is included. Thus enhanced sampling and simulation techniques, as well as advanced homology modelling methods are necessary for a better understanding of their dynamics.
Beta2-andrenergic receptors, phosphodiesterase IV, GABA-A receptors, nicotinic acetylcholine receptors, triosephosphate isomerase are some of the protein systems that we are also interested in.