PhDComputational Sciences and Engineering
| Study location | Türkiye, Istanbul |
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| Type | Doctoral, full-time |
| Study language | English |
| Awards | PhD |
| Course code | 59 |
| Entry qualification | Undergraduate diploma (or higher) Individuals with B.S. or M.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply for the Ph.D. Computational Sciences and Engineering program. The entry qualification documents are accepted in the following languages: English / Turkish. |
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| Language requirements | English |
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| Other requirements | At least 3 reference(s) must be provided. - You should aim to provide 3 academic references but employer references are also accepted A motivation letter must be added to your application. One of the most important parts of your application is the motivation letter. Its goal is to introduce your background and support your application. In short, its goal is to answer the question: Write in a clear and logical manner: remember, the way you write and present yourself says a lot about you. Do not plagiarize as this will mean automatic disqualification from the evaluation process. Some points that may help you answer this question:
Click here to check our How to write a strong Motivation Letter or Statement of Purpose video on YouTube. 1. Personal and Educational Background Information (CV) 2. 3 Recommendation Letters 3. TOEFL or YDS/e-YDS/YOKDIL Requirement (for those whose native language is not English) – TOEFL Internet Based: Minimum Score 80 (Exams taken in Turkey must be carried out at the State Universities) – YDS/e-YDS/YOKDIL: 80 4. ALES/GRE score 5. Official transcripts from all the universities attended 6. Statement of Purpose |
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| More information | gsse.ku.edu.tr/..ences-and-engineering/phd gsse.ku.edu.tr/..s-and-engineering/faculty |
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Overview
Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. In this program graduate, students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenge heavily depend on computational modeling and problem-solving. Because of the availability of powerful and inexpensive computers, model-based computational experimentation is now a standard approach to the analysis and design of complex systems where real experiments can be expensive or infeasible. Graduates of the CMSE Program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering.
Programme structure
The Ph.D. degree requires successful completion of 14 courses within 3 years and take the Qualifying Examination within the 7th semester at the latest beyond the B.S. degree and 7 courses within 2 years and take the Qualifying Examination within the 5th semester at the latest beyond the M.S. degree.
In addition to the credit courses, students must complete the non-credit courses; CMSE 695 – Ph.D. Thesis, CMSE 590 – Seminar, ENGL 500 – Graduate Writing, ETHR 500 – Scientific Research Methods and Research and Publication Ethics, KOLT 500 – KOLT Graduate Teaching Assistant Training, and TEAC 500 Teaching Experience.
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