Master in Electrical and Electronic Engineering
Commencing to academic life or specialization after the basic university education begins with the graduate programs and advances further. The Electrical and Electronic Engineering programme is offered by Near East University.
|Full-time Duration:||2 years|
|Starting in:||September 2020|
|Tuition Fee:||€1,030 / semester|
|Location:||Near East University (Mersin, Turkey)|
NEU Institute of Applied Sciences was established for this purpose and offers quality graduate and postgraduate education with well-qualified teaching staff in ten branches including basic sciences, engineering, architecture and maritime studies. The Electrical and Electronic Engineering programme is offered by Near East University.
This is a programme with thesis.
The Institute of Applied Sciences is also carrying out the necessary studies to increase the number of scientific branches, particularly in interdisciplinary scientific branches.
- To assist graduate students in developing skills for scientific research
- To help graduate students develop leadership skills necessary for managing engineering projects
- To provide graduate students skills for development of solutions to electrical engineering problems
Learning outcomes of the Master’s degree program
- Ability to apply fundamental knowledge of science and electrical engineering.
- Ability to identify, formulate and solve complex electrical engineering problems.
- Ability to design and conduct experiments related to electrical engineering, as well as to analyze and interpret data.
- Be able to design a complex system, component, or process to meet desired needs within realistic constraints.
- Be able to develop solutions that meet the desired needs within the economic, manufacturing and sustainability borders.
- Be able to use the techniques, skills, and modern engineering tools necessary for electrical engineering practice and research.
- Be able to function and communicate effectively in multidisciplinary teams.
- Linear System Theory
- Artificial Neural Networks
- Artificial Intelligence
- VLSI Design
- Integrated Sensors and Sensing Systems
- Process Control Instrumentation Technology
- Optimal and Adaptive Control
- Fuzzy Systems
- Intelligent Control