INDUSTRIAL ENGINEERING (ENGLISH, PHD)


Profile of the Program

Equip students with in-depth theoretical knowledge and the ability to conduct independent, original research in industrial engineering. Prepare graduates to contribute to the scientific community by generating novel approaches, models, and methodologies. Encourage the ability to solve complex industrial problems using systematic and integrative approaches, in collaboration with other disciplines. Train graduates for leadership roles in academia and industry through strong analytical, strategic, and communication skills.

Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Industrial Engineering

Level of Qualification

This is a program.

Specific Admission Requirements

In order to apply to the doctoral program, candidates must have a thesis-based master's degree and must have an ALES score of no less than 55 points in the score type of the program they are applying for, as determined by the Institute Board recommendation and Senate decision. In addition to the ALES score, a written scientific assessment exam and/or an additional interview result and a master's grade point average may also be evaluated for the acceptance of those who will apply to the doctoral program. Matters related to this evaluation, application conditions and other matters regarding student admission are announced to candidates through appropriate means upon the recommendation of the Institute Board of Directors and the rules determined by the Senate.

Qualification Requirements and Regulations

The candidates who successfully complete the program are awarded the degree of PhD. in Industrial Engineering.

Recognition of Prior Learning

Students who will continue their education at Bahçeşehir University may be exempted from the courses they took at their previous educational institution within the framework of certain regulations. If the content of the course taken is compatible with the content of the course given at BAU and is approved by the institute directorate, the student may be exempted from this course.

Occupational Profiles of Graduates

PhD. program graduates may take charge in education sector, logistics sector, public and private sector production facilities, banks, hospitals, insurance companies, and energy companies.

Access to Further Studies

Students who successfully complete the program can apply for post-doctoral studies according to their areas of expertise.

Program Outcomes

1 Follows the scientific literature, analyzes it critically, and uses it effectively in solving engineering problems.
2 Designs, plans, implements, and manages original projects related to the program field.
3 Independently conducts studies related to the program field, assumes scientific responsibility, and evaluates the results with a critical perspective.
4 Presents the results of their research and projects effectively in written, oral, and visual formats in accordance with academic standards.
5 Conducts independent research on subjects requiring expertise in their field, develops original ideas, and transfers this knowledge into practice.
6 Effectively uses advanced theoretical and practical knowledge specific to the program field.
7 Acts in accordance with professional, scientific, and ethical values; takes responsibility by considering the social, environmental, and ethical impacts of engineering practices.

Course & Program Outcomes Matrix

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes 1 2 3 4 5 6 7
Courses
INE6101 Linear Optimization
INE6105 Stochastic Models
QUA6999 Qualifying Exam
RCH6001 Advanced Research Methods
SMR6887 Seminar
THE6888-1 Doctoral Thesis - I
THE6888-2 Doctoral Thesis - II
THE6888-3 Doctoral Thesis - III
THE6888-4 Doctoral Thesis - IV
Departmental Elective
ENM5227 Risk Management
ENM5510 Innovation and Creativity Management
INE5261 Multi Attribute Decision Making
INE5309 Enterprise Resource Planning with SAP
INE6310 Special Topics in Supply Chain and Logistic Management
INE6360 Special Topics in Demand Planning
GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
INE6101 Linear Optimization 3 0 3 9
RCH6001 Advanced Research Methods 3 0 3 9
Departmental Elective 3 12
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
INE6105 Stochastic Models 3 0 3 9
Departmental Elective 3 12
Departmental Elective 3 9
Total 30
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
SMR6887 Seminar 0 0 0 6
Departmental Elective 3 12
Departmental Elective 3 12
Total 30
4. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
QUA6999 Qualifying Exam 0 0 0 30
Total 30
5. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-1 Doctoral Thesis - I 0 0 0 30
Total 30
6. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-2 Doctoral Thesis - II 0 0 0 30
Total 30
7. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-3 Doctoral Thesis - III 0 0 0 30
Total 30
8. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-4 Doctoral Thesis - IV 0 0 0 30
Total 30

Program Director (or Equivalent)


INDUSTRIAL ENGINEERING (ENGLISH, PHD) - GRADUATE SCHOOL