The information and program qualifications related to the Computational Science and Engineering Doctor of Philosophy Program, under the Department of Computational Science and Engineering of the Graduate School, are summarized below.
Information About The Program
Computational Science and Engineering (CSE) is a relatively new discipline for scientific research and engineering design in which large-scale simulations for grand challenging real life problems and high performance computing play a central role in the world. CSE is an interdisciplinary area, requiring expertise in advanced computing technology as well as in one or more applied disciplines such as mathematics, chemistry, physics, engineering, medical sciences, etc..
The CSE programme of Informatics Institute, Istanbul Technical University (ITU), Turkey has been established in 2000. Since its foundation, the CSE programme has contributed to the understanding that computation is indeed a new way of doing science and engineering. Both program and its large research groups are the first and prominent in Turkey, and also one of the first that has both MSc. and PhD programme in computational science and engineering area completely. The researchers involved in the programme come from a diverse background, such as electrical engineering, nuclear engineering, chemistry, mechanical engineering, physics, earth sciences, applied math, and etc. Following the establishment of the CSE program, the first large scale High Performance Computing Laboratory of Turkey was built in 2001.
Click here for the program's website.
Registration Requirements
Application Term : Previous Term / 2024-2025 Spring Semester
Application Requirements (For T.C Nationality) ALES Numerical must be minimum 80 (old system GRE Quantitative minimum 720, new system GRE minimum 156 ). Graduate GPA must be minimum 3.00/4 (76.66/100). Minimum GPA from undergraduate to doctorate must be 3.00/4 (76.66/100). Graduation must be All Engineering, Biology, Physical, Computational Science and Engineering, Chemistry / Kimya, Mathematic, Mathematics and Computer Science, Molecular Biology and Genetics, Polymer Science and Technology / Polimer Bilim ve Teknolojisi. Graduates of the Open Education Faculty cannot apply. The candidate must bring a support letter from on of the member of the academic Board of the Program.
Quota (For T.C Nationality): 3
Application Requirements (For International Students) ALES Numerical must be minimum 80 (old system GRE Quantitative minimum 720, new system GRE minimum 156 ). Graduate GPA must be minimum 3.00/4 (76.66/100). Minimum GPA from undergraduate to doctorate must be 3.00/4 (76.66/100). Graduation must be All Engineering, Biology, Physical, Computational Science and Engineering, Chemistry / Kimya, Mathematic, Mathematics and Computer Science, Molecular Biology and Genetics, Polymer Science and Technology / Polimer Bilim ve Teknolojisi. Graduates of the Open Education Faculty cannot apply. The candidate must bring a support letter from on of the member of the academic Board of the Program.
Quota (For International Students): 1
Application Page Graduate Education and Training Regulation Senate Principles
Application requirements, application dates, and quotas are updated in real-time from the Application System.
English Proficiency
Regulations and Guidelines
Academic Calendar
Course Plans
Course Schedules
Course Adjustment and Exemption Procedures
Program Educational Objectives
- Graduates will demonstrate an ability on the development of problem-solving methodologies and robust novel tools for solution of scientific, social, medical and engineering problems.
- Graduates will demonstrate proficiency based on current and high level specialistic knowledge and skills essential to innovative and multi-disciplinary context of computational science and engineering.
- Graduates will be recognized for excellence and independence in generation of new methods, algorithms and applications contributing to the progress in the field of computational science and engineering.
- Graduates will demonstrate broadened perspectives and skills in the development of social, scientific, engineering and ethical values.
- Graduates will demonstrate a leadership in distinguishing and solving the unknown nature of the problems in the field of computational science and engineering, and generate knowledge to contribute to the progress of science, engineering and technology.
Measurement and Evaluation
Evaluating Student Success
The student success is evaluated considering Articles 56, 57, 58, and 59 of the Istanbul Technical University Graduate Education and Training Regulation Senate Principles.
ARTICLE 56 - Before the enrollment for the courses begins, the faculty member who offers the course informs the Program Executive Committee about the types, number and contribution percentage to the final grade of the studies within the semester, as well as requirements for a right to take the semester final exam. These requirements shall be finalized by approval of the Program Executive Committee and approval of the chair of the department, who declares them to the student and informs the Graduate School.
ARTICLE 57 - A student may appeal the final grade of a course within one week following the announcement of the grades. Appeals must be submitted to the Graduate School in writing. The relevant faculty member shall re-evaluate the student's success status and submit the result to the Graduate School within one week. Appeals not submitted within the prescribed time frame shall not be considered by the Graduate School.
ARTICLE 58 - Courses in graduate programs shall be evaluated according to the following grading system.
| Grade Description |
Grade |
Scale |
| Excellent |
AA |
4.00 |
| Very good plus |
BA+ |
3.75 |
| Very good |
BA |
3.50 |
| Good plus |
BB+ |
3.25 |
| Good |
BB |
3.00 |
| Conditional Pass |
CB+ |
2.75 |
| Conditional Pass |
CB |
2.50 |
| Conditional Pass |
CC+ |
2.25 |
| Conditional Pass |
CC |
2.00 |
| Fail |
FF |
0.00 |
| Fail(No Exam) |
VF |
0.00 |
ARTICLE 59 - Students who wish to improve their cumulative grade point average may retake courses during the course-taking period. The most recent grade will be counted for the repeated courses.
Internship
There is no internship in this program.
Graduation Requirements
For the graduation, a student has to fulfill the following conditions:
• Taken a total of 21 credits
• Having at least CC for all lectures
• 30 % English lecture conditions (6.3 credits of all taken credits must be obtained from lectures given in English)
• The average must be at least 3.00
• To have completed 50% of the total credit from courses with HBM code or courses approved by the academic board
• HBM YET and HBM DRT courses must be BL
• HBM 696E Scientific Research Ethics & Seminar course must be BL
The Awarded Degree and Title
Degree : Doctor of Philosophy Title : Doctor of Philosophy
Program Employment Opportunities
HBM graduates hold a modern education derived from various combinations of mathematics, engineering, natural sciences and informatics.
Graduates have a solid academic background and extensive experience in advanced numerical calculations and practical problem solving throughout the program. Accordingly, graduates are eligible to take part in modern and technology oriented research and development positions in the sector. Graduates may work in the following areas:
• Research institutes
• High technology engineering companies
• IT sector
Positions may be related to pure computation (e.g., computational mechanics) or may be in areas such as software engineering. The high performance computing laboratory in the CSE program leads to an increase in knowledge of both graduates and employees in high performance computing. Our graduates may also use their experiences gathered in this field, especially in the field of data center management.
Number of Graduates
Graduate Statistics
| Year | Number of Graduates |
| 2016 | 1 |
| 2018 | 1 |
| 2019 | 1 |
| 2020 | 3 |
| 2021 | 2 |
| 2023 | 1 |
| 2024 | 2 |
Program Outcomes
P.O.1 Developing and intensifying knowledge in the Computational Science and Engineering program’s area, based upon the competency in the M.S. level
P.O.2 Grasping the inter-disciplinary interaction related to one’s area
P.O.3 The ability to use the expert-level theoretical and practical knowledge acquired in the area
P.O.4 Interpreting and forming new types of knowledge by combining the knowledge from the area and the knowledge from various other disciplines
P.O.5 Solving the problems faced in the area by making use of the research methods
P.O.6 The ability to carry out a specialistic study related to one’s area independently
P.O.7 Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of one’s area and coming up with solutions while taking responsibility
P.O.8 Systematically transferring the current developments in the area and one’s own work to other groups in and out of the area; in written, oral and visual forms
P.O.9 Proficiency in a foreign language –at least European Language Portfolio B2 Level- and establishing written and oral communication with that language
P.O.10 Using the computer software together with the information and communication technologies efficiently and according to the needs of the area
P.O.11 Paying regard to social, scientific, cultural and ethical values during the collecting, interpreting, practicing and announcing processes of the area related data and the ability to teach these values to others
P.O.12 Developing strategy, policy and application plans concerning the subjects related to the area and the ability to evaluate the end results of these plans within the frame of quality processes
P.O.13 Using the knowledge and the skills for problem solving and/or application (which are processed within the area) in inter-disciplinary studies
P.O.14 In the Computational Science and Engineering program, the ability to present one’s own work within the international environments orally, visually and in written forms
Program Coordinator
Head of the Department
Links