Architectural Design Computing Master of Science Program


The information and program qualifications related to the Architectural Design Computing Master of Science Program, under the Department of Informatics of the Graduate School, are summarized below.

Information About The Program

The program started in the 2000-2001 academic year as the Graduate Program in Architecture in Computer Environment and continued as Graduate Program in Informatics in Architecture between 2002 and 2006. After the Department of Informatics was established in 2006, the program has existed within that department and is named as Master of Science in Architectural Design Computing.
The program offers compulsory and elective courses in a wide range of subjects, in-depth and complementary to each other. The structure of the master’s program was established with courses that will form both the theoretical basis for the subject area and transform theory into application.
The program aims to provide students with the opportunity to apply design technologies to theoretical and practical work of design, making use of digital environments, visualization and graphic presentations, two and three dimensional modeling and animation, databases, artificial intelligence, deep learning, hypermedia, multimedia, collaborative architectural design as well as the theoretical models, methods and approaches, and paradigms of computational design in architecture.


Click here for the program's website.
 

Registration Requirements

Application Term : 2024-2025 Spring Semester
Application Dates : 06.12.2024 09:00:00 - 03.02.2025 17:00:00 ( UTC/GMT+3 )

Application Requirements (For T.C Nationality)
ALES Numerical must be minimum 75 (old system GRE Quantitative minimum 700, new system GRE minimum 155 ). Undergraduate GPA must be minimum 2.8/4 (72/100). Graduation must be Computer Engineering, Electrical-Electronics Engineering, Industrial Product Design, Industrial Design Engineering, Informatics Engineering, Interior Architecture, Civil Engineering, Architecture, Landscape Architecture, Urban and Regional Planning, Artificial Intelligence Engineering, Artificial Intelligence and Data Engineering. Detailed CV, transcript, text written by the candidate (1-2 pages) explaining the candidate´s intentions and expectations regarding his application to the program, two reference letters, portfolio, and optionally a file consisting of publications and written works.
Quota (For T.C Nationality): 10

Application Requirements (For International Students)
ALES Numerical must be minimum 75 (old system GRE Quantitative minimum 700, new system GRE minimum 155 ). Undergraduate GPA must be minimum 2.8/4 (72/100). Graduation must be Computer Engineering, Electrical-Electronics Engineering, Industrial Product Design, Industrial Design Engineering, Informatics Engineering, Interior Architecture, Civil Engineering, Architecture, Landscape Architecture, Urban and Regional Planning, Artificial Intelligence Engineering, Artificial Intelligence and Data Engineering. Detailed CV, transcript, text written by the candidate (1-2 pages) explaining the candidate´s intentions and expectations regarding his application to the program, two reference letters, portfolio, and optionally a file consisting of publications and written works.
Quota (For International Students): 3

Application Page
Graduate Education and Training Regulation Senate Principles

Application requirements, application dates, and quotas are updated in real-time from the Application System.
 

MasterBee

Information about MasterBee


English Proficiency



Regulations and Guidelines

Regulations and Guidelines


Academic Calendar

Academic Calendar


Course Plans



Course Schedules



Course Adjustment and Exemption Procedures

Course adjustment and exemption procedures are carried out in accordance with the Exemption and Adjustment Procedures Regulation of Istanbul Technical University.
Exemption and Adjustment Procedures Regulation


Program Educational Objectives

The main aim of the Program is to train graduates who can apply computational design thinking in creative architectural production practices and to use information technologies effectively, with knowledge and skills in the direction of scientific, technological, intellectual and social developments. In addition, the graduates are expected to successfully take part in research, practice and/or education with a researcher and/or expert attitude towards current problems, with a creative thinking systematic, applying various approaches, methods and able to produce original solutions using computational thinking.

RESEARCH AREAS
Architectural Theory after Information Technologies,
Computer Aided Design Theories and Paradigms,
Modeling Techniques and Paradigms for Design and Evaluation,
Genetic, Nano Technology, Evolutionary and Generative Approaches in Architectural Design,
Cognitive Processes and Tools in Architectural Design,
Building Information Models and Architectural Information Management Systems,
Design, Representation, and Databases in Multim Media and Virtual Environments,
Game Theory, Simulations, Animation,
Collaboration in Virtual Environment and Architectural Design,
Interaction, Communication, Interface, Embedded Environments,
Remote Sensing and Spatial Data Processing,
Data Mining in Architecture,
Transdisciplinary Studies and Architecture,
Visualization of Design Information,
Digital Design and Phenomenology,
Interpretation in Architectural Design,
Computational Design Pedagogy,
Tactile / Kinesthetic Perception and Gestures,
Body, Experience, and Spatial Thinking,
Digital Design and Production.


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 master's degree, accepted and registered students, with counsel from their advisor, have to successfully complete 4 must courses, 4 elective courses, 1 seminar and specialization field courses offered by the program and one original thesis. Thesis process is defined by the Graduate School (LEE). It is advised that students publish their research. Graduate conditions should be followed on the relevant page of the LEE according to the registration period.


The Awarded Degree and Title

Degree : Master of Science    Title : -


Program Employment Opportunities

As creative researchers and professionals who are open to the theoretical and technological developments in the world and positioned at the intersection of information technologies and architectural design, program graduates seek and find academic and/or professional employment in the fields of architecture, construction, design, education and software sectors with different roles such as research-development, design, and production.


Number of Graduates

Graduate Statistics
YearNumber of Graduates
20135
201412
201512
20165
201710
201820
201918
202012
202110
20229
202313


Program Outcomes

P.O.1 (Developing and intensifying knowledge in the architectural design computing area, based upon the competency in the undergraduate level (sufficient knowledge) (knowledge))
P.O.2 (Grasping the inter-disciplinary interaction related to the architectural design computing area (knowledge))
P.O.3 (The ability to use the expert-level theoretical and practical knowledge acquired in architectural design computing area (skill))
P.O.4 (Interpreting and forming new types of knowledge by combining the knowledge from the architectural design computing area and knowledge from various other disciplines (skill))
P.O.5 (Solving the problems faced in the area by making use of the research methods (skill))
P.O.6 (The ability to carry out a specialistic study related to architectural design computing area independently (Competence to work indepently and take responsibility))
P.O.7 (Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of the architectural design computing area and coming up with solutions while taking responsibility (Competence to work independently and take responsibility))
P.O.8 (Fulfilling the leader role in the environments where solutions are sought for the problems related to the architectural design computing area (Competence to work independently and take responsibility))
P.O.9 (Assessing the specialistic knowledge and skill gained through the study with a critical view and directing one’s own learning process (Learning competence))
P.O.10 (Systematically transferring the current developments in the architectural design computing area and one’s own work to other groups in and out the architectural design computing area; in written, oral and visual forms (Communication and social competency))
P.O.11 (Ability to see and develop social relationships and the norms directing these relationships with a critical look and the ability to take action to change these when necessary (Communication and social competency))
P.O.12 (Proficiency in a foreign language – at least European Language Portfolio B2 Level – and establishing written and oral communication with that language (Communication and social competency))
P.O.13 (Using the computer software together with the information and communication technologies efficiently and according to the needs of the architectural design computing area (Communication and social competency))
P.O.14 (Paying regard to social, scientific, cultural and ethical values during the collecting, interpreting, practicing and announcing processes of the architectural design computing area related data and the ability to teach these values to others (Area specific competency))
P.O.15 (Developing strategy, policy and application plans concerning the subjects related to the architectural design computing area and the ability to evaluate the end results of these plans within the frame of quality processes (Area specific competency))
P.O.16 (Using the knowledge and the skills for problem solving and/or application (which are processed within the area) in inter-disciplinary studies (Area specific competency))
P.O.17 (The ability to present one’ s own work within the international environments orally, visually and in written forms (Area specific competency))


Program Coordinator

Prof. Dr. Leman Figen Gül
E-mail: fgul@itu.edu.tr
Web: https://research.itu.edu.tr/tr/persons/fgul


Head of the Department

Prof. Dr. Mine Özkar Kabakçıoğlu
E-mail: ozkar@itu.edu.tr
Business Phone : 0212 2931300
Web: https://research.itu.edu.tr/tr/persons/ozkar