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Second Cycle Programmes (Master's Degree)

GRADUATE EDUCATION INSTITUTE - Engineering Management (Interdisciplinary) - Master's Degree in Engineering Management (Non-Thesis)



General Description
History
Engineering Management non-thesis master's program started its education and training activities in the spring semester of 2020-2021.
Qualification Awarded
The students who have completed a minimum of 30 local credits (equivalent to 60 ECTS credits) from thought courses delivered within the graduate program of the department and in related fields achieved a CGPA of at least 2.00 out of 4.00 and prepared and successfully defended a thesis are given Master's Degree in Engineering Management.
Level of Qualification (Short Cycle , First Cycle , Second Cycle, Third Cycle)
Second Cycle
Specific Admission Requirements
To graduate from a department that meets the “Graduation Prerequisites for Graduate Programs” determined by the Graduate Education Institute and approved by the BAYBURT University Senate.
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
Bachelor's degree from acceptable fields
Qualification Requirements and Regulations
In order to obtain a master's degree in the field of Engineering Management, students are required to: a) take 30 credits (equivalent to 60 ECTS) of courses and pass them with a grade of at least CC, b) have a weighted average of at least 2.0 out of 4.0, c) prepare a project and then present it and be successful.
Profile of The Programme
The Engineering Management program aims to teach industrial engineering and operations research methods to the candidates who graduated from engineering departments, and to provide theoretical and experimental knowledge that will provide solutions to production, service and socio-economic systems.
Occupational Profiles of Graduates With Examples
Engineering Management master's graduates can work in many fields such as project management, operations management, quality control, R&D, data analytics and strategic management. This program develops engineers' leadership and management competencies, combining their technical skills with management capabilities. This makes them ideal candidates for both technical and management roles.
Access to Further Studies
Students who have completed their master's degree may also apply to other programs in related disciplines.
Examination Regulations, Assessment and Grading
In the Department of Engineering Management, exams are evaluated with points out of 100 and the success grade is calculated by taking the sum of 30% of the midterm exam grade average and 70% of the final exam or make-up exam. In master's programs, the success grade must be at least 65 points out of 100 points.
Graduation Requirements
The non-thesis master's program must be completed within the maximum education period determined to include at least 60 ECTS credits. The program covers at least eleven courses, including the project course. In addition, students are required to conduct and successfully present a project work.
Mode of Study (Full-Time, Part-Time, E-Learning )
Full-Time
Address, Programme Director or Equivalent
Assist. Prof. Dr. Çağatay TEKE (Head of Department), TLF: (458) 211-1152 (1645), E-mail: cagatayteke@bayburt.edu.tr
Facilities
Classrooms; 1 lecture hall with a capacity of 120 people (Faculty of Engineering common area), 12 classrooms with a capacity of 520 people (Faculty of Engineering common area), 2 computer rooms with a capacity of 30 people (Faculty of Engineering common area), conference hall with a capacity of 66 people (Faculty of Engineering common area). SOCIAL AREAS; Student canteen with a capacity of 150 people (common use area of the Faculty of Engineering), student dining hall with a capacity of 2000 people/meal (common use area of the University), 3 computer rooms with a capacity of 30 people (common use area of the Faculty of Engineering).

Key Learning Outcomes
1In the field of engineering, it is to expand and reach the information in depth by doing scientific research, to evaluate, interpret and apply the information.
2Ability to complete and apply knowledge with scientific methods using limited or incomplete data; to integrate knowledge from different disciplines.
3To be able to construct engineering problems, to develop methods to solve them, and to apply innovative techniques in solutions.
4Ability to develop new and original ideas and methods; to develop innovative solutions in system, part or process designs.
5Ability to design and implement analytical, modeling and empirical research; Analyzing and interpreting the complex situations encountered in this process.
6Identifying, accessing and further evaluating the required information and data.
7Leading in multidisciplinary teams, developing solution approaches in complex situations and taking responsibility.
8To be able to systematically and clearly convey the processes and results of their studies, in written or verbal form, in national and international environments in or outside that field.
9To interpret comprehensive information about modern techniques and methods applied in engineering and their limits.
10Awareness of new and emerging practices of the profession; to examine and learn them when necessary.
11Understanding the social and environmental dimensions of engineering practices and adapting to the social environment.
12To observe social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities.

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
222222222222
KNOWLEDGE1
2
SKILLS1
2
3
COMPETENCES (Competence to Work Independently and Take Responsibility)1
2
3
COMPETENCES (Learning Competence)1
COMPETENCES (Communication and Social Competence)1
2
3
4
COMPETENCES (Field Specific Competence)1
2
3

Course Structure Diagram with Credits
T : Theoretical P: Practice L : Laboratory
0. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MYDK Consultancy Compulsory 0 1 0 0
Total 0 1 0 0
 
1. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MYZOR1 Compulsory Courses 1 Elective - - - 6
2 MYSEÇ1 Group of Elective Courses 1 Elective - - - 6
3 MYDP Term Project Compulsory 0 1 0 0
Total 6 1 0 12
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MYZOR2 Compulsory Courses 2 Elective - - - 6
2 MYSEÇ2 Elective Courses Group 2 Elective - - - 6
3 MYDP Term Project Compulsory 0 1 0 0
Total 6 1 0 12
 
Compulsory Courses 1
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MY101Z Management Information Systems Elective 3 0 0 6
2 MY102Z Artificial Intelligence in Engineering Elective 3 0 0 6
3 MY104Z Quality Engineering Elective 3 0 0 6
4 MY106Z Optimization Techniques Elective 3 0 0 6
5 MY107Z Engineering Economics Elective 3 0 0 6
6 MY109Z Statistics Elective 3 0 0 6
Group of Elective Courses 1
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MY102Z Artificial Intelligence in Engineering Elective 3 0 0 6
2 MY105 Simulation Modelling in Management Elective 3 0 0 6
3 MY110 Project Management Elective 3 0 0 6
4 MY116 Quality Management Systems Elective 3 0 0 6
5 MY118 Research and Report Writing Techniques Elective 3 0 0 6
Compulsory Courses 2
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MY101Z Management Information Systems Elective 3 0 0 6
2 MY102Z Artificial Intelligence in Engineering Elective 3 0 0 6
3 MY104Z Quality Engineering Elective 3 0 0 6
4 MY106Z Optimization Techniques Elective 3 0 0 6
5 MY107Z Engineering Economics Elective 3 0 0 6
6 MY109Z Statistics Elective 3 0 0 6
Elective Courses Group 2
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 MY105 Simulation Modelling in Management Elective 3 0 0 6
2 MY108 Erp Applications Elective 3 0 0 6
3 MY110 Project Management Elective 3 0 0 6
4 MY112 Supply Chain and Logistics Management Elective 3 0 0 6
5 MY114 Object Oriented Computer Programming Elective 3 0 0 6
6 MY116 Quality Management Systems Elective 3 0 0 6
7 MY118 Research and Report Writing Techniques Elective 3 0 0 6