Program Objectives:

Biology, biotechnology and biosciences have been rapidly developing since 2000. To handle the data produced, computer technology is required due to the excessive amount of data. Most of the recent techniques used in DNA, RNA and protein based research is supported by bioinformatics and computer science. The computer science offers a new era for the biological sciences. For example the building block of the cell, proteins are modeled in 3D using computer; this enables the rapid and efficient identification of molecular interactions and signal transduction pathways. Similarly, mutations in the genetic sequence can be detected quite fast using the computer technology. Since the recent advancements in computational biology decreased the cost and accelerated the research processes including the drug development, the in silico studies are highly demanded in industry. These studies will help therapeutic methods, which will ultimately be used for treatment and increase the quality of life.

The department of Computational Biology and Bioinformatics offers an education comprising programming (object oriented), bioinformatics & genomics, molecular modeling applications and cell biology & genetics.

Graduates of this program will be able to use the latest computer technology in order to solve problems about biological systems, such as designing a drug and testing a drug candidate’s interactions in computer environment. The bioinformatics graduates will be highly desired employees in health industry, especially by pharmaceutical companies. This industry receives high amount of investments in North America, Central Europe and East Asia. As one the most promising sciences of 21st century, bioinformatics is waiting for more and more scientists.

Why Would I Choose This Program?

The advanced genetics and computer technology has generated the intensive data processing needs and offered an environment where biology can be generated in silico. Revolutionary applications have been developed and have been advancing. Bioinformaticians are globally sought; to answers such needs and develop applications. This need is predicted to increase even higher in medical field quite soon.

Kadir Has University Master Program in Computational Biology and Bioinformatics founded under Science Institute is the sole Bioinformatics and Genetics program in Turkey. Having a curriculum parallel with the well-known and highly respected universities around the world, our master program targets raising scientists to have strong international interactions and always up-to-date with cutting edge science. The program offers an education in global scientific standards, providing seminars, exchange programs and collaborative projects, thus aiming at raising students to a worldwide competition.

Our students, receiving proper education on chemistry, molecular biology and computational biology will hold the advantage in the competitive field. For example, they will not only learn how to analyze the nucleic acid data, how to model a protein, but also the chemical properties of nucleic acids and proteins, and their affect on heredity. Our grads will be one step forward, with the advantages of their large vision.

In our department, research and education are kept in a balance. The master program is run by young, active scientist who direct and work in national and international projects, in an environment of global standards and universal values. In this context, we welcome young researchers, who are not passive audience, but dynamic scientist to contribute science.


How will This Program Effect My Career?

One branch of education that will be given throughout Master Program is genetics. This education comprises both classical and modern genetic techniques. The other branch of the education is computational biology and bioinformatics. These two sciences, both very young, are the generation of biological data in silico, and process of the biological data in silico, respectively. Our students will finalize their education, having courses on cell biology, human genetics, medicinal chemistry, structural drug design, molecular simulation, quantum chemistry, statistics and programming.

Currently, the leading pharmaceutical companies worldwide are running giant projects on bioinformatics and genetics research. This newly developing sector demands a great number of researchers. Our grads may continue their careers both in academia and private companies. They will have the interdisciplinary expertise, having solid background genetics, handling biological data effectively, which they can apply this into medicine, chemistry, biotechnology, agriculture, energy and similar fields.


General information:

  • The language of education is English.
  • There are both compulsory and elective courses in the master program. Each course is 3 credits.
  • To complete the master program in Computational Biology and Bioinformatics, the student is required to complete 24 credits of courses, follow the seminar course (non-credit), conduct research in related topic and present the written master thesis. The thesis course is also non-credit.
  • Elective courses opened every semester may differ.
  • With the approval of the program coordinator, maximum two courses may be taken from other universities’ similar master programs. The credits of these courses are accepted as KHU master program’s credits.
  • Graduate classes are generally in the evening (17:00-20:00) of weekdays, at the main campus of Kadir Has University in Cibali. Depending on the demand, courses can be relocated to weekends.


Master students can benefit from A and B type scholarships. A type scholarship includes tuition waiver, and financial support; B type scholarship includes partial tuition waiver. Detailed information can be found in “Prospective Students” link.

Application Deadlines:

The program will follow Kadir Has University's academic calendar.

For More Information:

Prof. Kemal YELEKÇİ (+90-212) 533 65 32 Extension: 1332 / yelekci@khas.edu.tr

Asst. Prof. Demet Akten Akdoğan (+90-212) 533 65 32 Extension: 1350 / demet.akten@khas.edu.tr

For further information, please visit our webpage: