Mathematical Engineering Master of Science Program


The information and program qualifications related to the Mathematical Engineering Master of Science Program, under the Department of Mathematical Engineering of the Graduate School, are summarized below.

Information About The Program

Scientific Preparatory Program: Students who have a bachelor's degree from a different department than the Department of Mathematics Engineering must complete the scientific preparation program before starting the graduate program. These students are required to take undergraduate courses approved by the Master's Coordinator to be able to apply to the Master's program in Mathematical Engineering. These courses are required to be completed successfully within two semesters.

Graduate Program: The Graduate Program is administered by the Graduate School of Natural and Applied Sciences. Thesis graduate program consists of at least 8 courses, not less than 24 credits, a seminar course and thesis study. The seminar course and the thesis work are non-credit and evaluated as successful or unsuccessful.


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 85 (old system GRE Quantitative minimum 740, new system GRE minimum 158 ). Undergraduate GPA must be minimum 3.00/4 (76.66/100). Graduation must be Computer Engineering, Electronics and Communication Engineering, Industrial Engineering, Civil Engineering, Control and Automation Engineering, Mechanical Engineering, Mathematic, Mathematics Engineering, Mechatronics Engineering, Aeronautical Engineering, Astronautical Engineering, Artificial Intelligence and Data Engineering.
Quota (For T.C Nationality): 10

Application Requirements (For International Students)
ALES Numerical must be minimum 85 (old system GRE Quantitative minimum 740, new system GRE minimum 158 ). Undergraduate GPA must be minimum 3.00/4 (76.66/100). Graduation must be Computer Engineering, Electronics and Communication Engineering, Industrial Engineering, Civil Engineering, Control and Automation Engineering, Mechanical Engineering, Mathematic, Mathematics Engineering, Mechatronics Engineering, Aeronautical Engineering, Astronautical Engineering, Artificial Intelligence and Data Engineering.
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 aim of the Master Programme is to train graduates who can
1. carry out original work that contributes to producing knowledge in fields related to Mathematical Engineering,
2. analyze the mathematical problems he/she encounters from different perspectives with a solid researcher attitutude
3. follow the literature in his/her field and who can act as a leader in utilizing the wealth of academic information therein
4. carry out educational, training and research activites in the academic units in his/her field.


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

In the Graduate Program, students must be successful in seminar lessons and Master Thesis to obtain the Master's degree after having completed 24 credits of which 12 credits must come from compulsory courses. In the master's thesis, the student is expected to specialize in a subject and learn a new method.


The Awarded Degree and Title

Degree : Master of Science    Title : -


Program Employment Opportunities

Graduates of the Mathematical Engineering Master programme are well prepared for a successful academic career at universities or research institutes. In addition to this, the graduates do also work as Software Expert / Engineer, Database Expert / Manager, System Analyst, Statistical Analyst, Data Processing Staff / Expert for Public Institutions such as TÜBİTAK, MTA, State Institute of Statistics, or for financial institutions and information technology units in the public and private sector.


Number of Graduates

Graduate Statistics
YearNumber of Graduates
20133
201410
20154
20163
20175
20188
201914
20209
20213
20227
20235
202411


Program Outcomes

P.O.1 Developing and intensifying knowledge in the related program’s area, based upon the competency in the undergraduate 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 Fulfilling the leader role in the environments where solutions are sought for the problems related to the area .
P.O.9 Assessing the specialistic knowledge and skill gained through the study with a critical view and directing one’s own learning process .
P.O.10 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.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.
P.O.12 Proficiency in a foreign language –at least European Language Portfolio B2 Level- and establishing written and oral communication with that language .
P.O.13 Using the computer software together with the information and communication technologies efficiently and according to the needs of the area .
P.O.14 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.15 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.16 Using the knowledge and the skills for problem solving and/or application (which are processed within the area) in inter-disciplinary studies .
P.O.17 In the programs with thesis, the ability to present one’s own work within the international environments orally, visually and in written forms .
P.O.18 Being informed of recent developments in one’s own field, and being capable of understanding and researching such developments.
P.O.19 Proficiency in developing models for solving engineering related questions.
P.O.20 Researching information about mathematical problems in engineering and providing solutions to such problems.


Program Coordinator

Prof. Dr. Füsun Zengin
E-mail: fozen@itu.edu.tr
Business Phone : 0212 2856820
Web: https://research.itu.edu.tr/tr/persons/fozen


Head of the Department

Prof. Dr. Aybike Özer
E-mail: ozerayb@itu.edu.tr
Web: https://research.itu.edu.tr/tr/persons/ozerayb