1. Program Objectives:
The objectives of the Master of Science in Electrical Engineering Program are to enhance the student’s ability to be successful and advance in their chosen careers in industry, academia, and public institution, and to make significant contributions to the field of electrical engineering.
The above objectives are achieved by providing the students:
- Advanced knowledge and skills of EE subjects and practices based upon advanced knowledge of mathematics, including in-depth knowledge in at least one area of EE, so as to maintain high employability, and an ability to adapt to, develop and apply new technology
- Enhance foundation for enduring learning
- Improved communication skills
2. Eligibility:
- Bachelor of Science in Electrical Engineering related disciplines such as: Electrical Power Engineering, Electronics Engineering, Communications or Telecommunications Engineering, and Computer Engineering or equivalent from an accredited institution with minimum CGPA of 2.5 out of 4.0.
- Graduates from other engineering disciplines may be eligible for this program, subject to passing the prerequisite courses with minimum GPA of 3.0 out of 4.0 in each course, as recommended by the departmental graduate committee at admission time.
- Graduates with a 16-year degree in Computer Science, Electronics, Physic or any related discipline may be eligible for this program, subject to passing the prerequisite courses with minimum GPA 3.0 of 4.0 in each course, as recommended by the departmental graduate committee at admission time.
3. Duration of the Program:
The duration of studies for MS Electrical Engineering shall not be less than two years and not more than 3years.
4. Specializations:
MS in Electrical Engineering (MSEE) includes the following specializations or major areas:
- Automation and Control
- Computer and Digital Systems
- Power Systems
- Telecommunications
4.1 Automation and Control:
The automation and control specialization aims to provide the graduates with sound engineering knowledge and broad professional skills to design, develop, implement, manage and supervise automation systems for different engineering applications.
4.2 Computer and Digital Systems:
Computer and Digital Systems specialization deals with the design, development, testing, and evaluation of components, systems, and networks. Research in Computer Engineering strives to achieve higher performance in the systems and components that are built as well as in the design process. The goal of this research area is to develop a comprehensive understanding of the hardware and software technologies used in computing systems.
4.3 Power Systems:
The power system engineering program actively pursues research in the areas of system reliability and performance modeling and prediction, system protection and automation, system control and stability, large-scale system computational methodologies and power electronics. The program will also focus on the renewable energy options available, and would also give a chance of research in the non-conventional energy methods.
4.4 Telecommunications:
Research in telecommunications is concerned with efficient representation, storage, transmission, processing, routing and reception of information from a wide variety of sources. The range in research will be from the highly-mathematical, to applied algorithm design, experimental prototyping, and contributions to emerging industry standards. In signal processing, the research will span a wide range of areas of signal processing including signal processing for communications , speech processing for recognition and synthesis, multimedia signal processing and compression, medical imaging, optical information processing, array/distributed/collaborative signal processing, immersive audio, speech processing for recognition and synthesis, and other multimedia related technologies such as content-based representation and retrieval.
5. MS Program Requirements and Structure:
The MS Electrical Engineering program requirement is 30 credit hours. The students have two options to complete their degree, Thesis and Non-Thesis.
5.1 Thesis Option:
The requirement is minimum 24 credit hours of course work and 06 credit hours of thesis involving research work.
5.2 Non-Thesis Option:
The requirement is minimum 30 credit hours of course work.
A student may complete 30 credit hours of course work and also complete 06 credit hours of MS Thesis. In such cases, additional course work will be considered as non-credit. A student, who registers for thesis, may still choose to complete degree requirements through course work option only by taking additional courses with the approval of the departmental graduate committee. The student will be eligible for the award of the degree whenever he/she completes the program requirements through any of the options as specified above.
6. Semester Roadmap for MSEE:
Semester – I
| i. | Stochastic Systems (Core-I) |
| ii. | Core – II |
| iii. | Elective – I |
Semester – II
| i. | Core-III |
| ii. | Core – IV |
| iii. | University Requirement |
Semester – III
| i. | Core – V |
| ii. | Elective – II / Thesis |
Semester – IV
| i. | Elective – III |
| ii. | Elective –IV / Thesis |
7. Core Courses:
University Requirement
Research Methodology’ is included as university requirement for all graduate programs in the faculty of Engineering and Sciences.
| Sr. No. | Course Code | Core Course Title |
Credit Hours |
| 1 | ESC-501 | Research Methodology |
3 |
The core courses for all the three specializations are listed below. All the registered students have to pass all the core courses of their respective domain.
8.1Automation and Control:
| Sr. No. | Course Code | Core Course Title |
Credit Hours |
| 1 | EEN-501 | Stochastic Systems |
3 |
| 2 | EEN-524 | Electronic Design and Analysis |
3 |
| 3 | EEN-725 | Advanced Digital Signal Processing |
3 |
| 4 | EEA-540 | Mechatronics |
3 |
| 5 | EEA-567 | Modern Control Theory |
3 |
8.2 Computer and Digital Systems:
| Sr. No. | Course Code | Core Course Title |
Credit Hours |
| 1 | EEN-501 | Stochastic Systems |
3 |
| 2 | CEN-540 | Embedded Systems |
3 |
| 3 | CEN-720 | Advanced Computer Architecture |
3 |
| 4 | CEN-742 | Advanced Digital System Design |
3 |
| 5 | CSC-502 | Information Systems |
3 |
8.3 Power Systems:
| Sr. No. | Course Code | Core Course Title |
Credit Hours |
| 1 | EEN-501 | Stochastic Systems |
3 |
| 2 | EEP-502 | Advanced Power System Operation and Control |
3 |
| 3 | EEP-514 | Renewable Energy |
3 |
| 4 | EEP-558 | Power Transmission and Distribution |
3 |
| 5 | EEP-559 | Power Generation and Plant Operation |
3 |
8.4 Telecommunications:
| Sr. No. | Course Code | Core Course Title |
Credit Hours |
| 1 | EEN-501 | Stochastic Systems |
3 |
| 2 | EEN-725 | Advanced Digital Signal Processing |
3 |
| 3 | EET-511 | Digital Communication Systems |
3 |
| 4. | EET-553 | Information Theory and Coding |
3 |
| 5. | EET-555 | Wireless and Mobile Communications |
3 |
8. Elective Courses:
The elective courses for all the four specializations are listed below. The students opting Thesis option have to choose 2 courses, while the students following Non-Thesis option have to complete 4 courses. The students can choose maximum of 2 courses from other domains, which requires prior permission from the departmental graduate committee.
The elective course offering in each semester is discretion of the department.
9.1 Automation and Control:
| Sr. No. | Course Code | Elective Course Title | Credit Hours |
| 1 | EEN-506 | Solid State Devices |
3 |
| 2 | EEN-509 | Non-Linear Control Systems |
3 |
| 3 | EEN-523 | Electronic Instruments |
3 |
| 4 | EEA-713 | Robust Multivariable Control systems |
3 |
| 5 | EEA-714 | Automation and Robotics |
3 |
| 6 | EEA-740 | Advanced Mechatronics Systems |
3 |
| 7 | EEA-741 | Advanced Topics in Industrial Automation |
3 |
| 8 | CSC 749 | Advanced Neural Networks and Fuzzy Logic |
3 |
| 9 | EEP-712 | Advanced Power Electronics |
3 |
| 10 | CEN-507 | Embedded Control Systems |
3 |
| 11 | CEN-508 | Distributed Control Systems |
3 |
| 12 | CEN-722 | Advanced Interfacing Techniques |
3 |
| 13 | CEN-758 | Robotics and Intelligent sensors |
3 |
9.2 Computer and Digital Systems:
| Sr. No. | Course Code | Elective Course Title | Credit Hours |
| 1 | EEN-727 | DSP Systems Design |
3 |
| 2 | EEA-702 | Advanced Topics in Control Systems |
3 |
| 3 | EET-704 | Advanced Topics in Information Systems |
3 |
| 4 | CEN-521 | Microprocessor/Microcontroller Based Systems |
3 |
| 5 | CEN-523 | Compiler Design |
3 |
| 6 | CEN-541 | ASIC and FPGA Design |
3 |
| 7 | CEN-542 | Embedded Software and RTOS |
3 |
| 8 | CEN-553 | Real Time Computer Systems |
3 |
| 9 | CEN-720 | Advanced Operating Systems |
3 |
| 10 | CEN-721 | Advanced Microprocessor Systems |
3 |
| 11 | CEN-739 | Embedded Computing Systems |
3 |
| 12 | CEN-752 | Advanced VLSI System Design |
3 |
| 13 | CEN-753 | Design of Real Time Embedded Systems |
3 |
| 14 | CEN-755 | Parallel Processing Computer Systems |
3 |
9.3 Power Systems:
| Sr. No. | Course Code | Elective Course Title | Credit Hours |
| 1 | EEN-506 | Solid State Devices |
3 |
| 2 | EEP-512 | Power Electronics Design |
3 |
| 3 | EEP-516 | Solar Power Generation |
3 |
| 4 | EEP-517 | Wind Power Generation |
3 |
| 5 | EEP-518 | Sustainable Energy Systems |
3 |
| 6 | EEP-519 | Hybrid Power Systems |
3 |
| 7 | EEP-520 | Photovoltaic System Design |
3 |
| 8 | EEP-521 | Design of Electrical Machines |
3 |
| 9 | EEP-561 | High Voltage Engineering Design |
3 |
| 0 | EEP-564 | Hydel Power Generation |
3 |
| 10 | EEP-565 | Integration of Distributed Generation |
3 |
| 11 | EEP-566 | Power System Reliability |
3 |
| 12 | EEP-712 | Advanced Power Electronics |
3 |
| 13 | EEP-714 | Advanced Topics in Renewable Energy |
3 |
| 14 | EEP-716 | Advanced Power System Analysis |
3 |
| 15 | EEP-717 | Advanced Power System Planning |
3 |
| 16 | EEP-718 | Advanced Power System Protection |
3 |
| 17 | EEP-719 | Advanced Topics in Power Systems Engineering |
3 |
| 18 | EEP-720 | Computer Methods in Power Systems |
3 |
| 19 | EEP-721 | Insulation Co-ordination in Power Systems |
3 |
| 20 | EEP-723 | Thermal and Nuclear Power Generation |
3 |
| 21 | EEP-754 | Smart Grid System Operation |
3 |
| 22 | EEP-757 | Non-Conventional Energy Systems |
3 |
| 23 | EEP-780 | EMS & SCADA |
3 |
9.4 Telecommunications:
| Sr. No. | Course Code | Course Title | Credit Hours |
| 1 | EEN-740 | Embedded System Design for Telecommunications |
3 |
| 2 | EET-504 | Wireless LANs |
3 |
| 3 | EET-522 | Communication System Design and Analysis |
3 |
| 4 | EET-547 | Advanced Radar Systems |
3 |
| 5 | EET-548 | Mobile Cellular Systems and Standards |
3 |
| 6 | EET-549 | Advanced Satellite Communications |
3 |
| 7 | EET-552 | Multimedia Networking |
3 |
| 8 | EET-554 | Wireless Networks |
3 |
| 9 | EET-556 | Mobile Communications and Networking |
3 |
| 10 | EET-560 | Telecommunication Network Management |
3 |
| 11 | EET-701 | Telecommunication Software Design |
3 |
| 12 | EET-706 | Advanced Optical Fiber Networks |
3 |
| 13 | EET-750 | Antennas Theory, Design and Applications |
3 |
| 14 | EET-754 | QoS Architectures for Multimedia Wireless Networks |
3 |
| 15 | EET-755 | Wireless Communication Techniques |
3 |
| 16 | EET-756 | Telecommunication Switching Systems |
3 |
| 17 | EET-757 | Mobile Computing |
3 |
| 18 | EET-762 | Communication Networks Architectures and Protocols |
3 |
| 19 | EET-764 | Queuing Theory for Performance Modeling |
3 |
| 20 | EET-765 | Radio Frequency Engineering
|
|
| 21 | EET-766 | RF System Engineering and Design |
3 |
| 22 | EET-767 | Wireless Mesh and Sensor Networks |
3 |
| 23 | EET-768 | Cognitive & Software Defined Radio |
3 |
| 24 | EET-769 | Mobile/Vehicular Ad Hoc Networks (MANETs/VANETs) |
3 |
| 25 | CEN-745 | Advanced Digital Image Processing |
3 |