1. Program Mission
The mission of the Electrical Engineering Department is to provide quality education to prepare students who will play a significant role in shaping the future high technology environment, and to provide knowledge and skills to foster lifelong learning.
EE Department’s vision is to cultivate strategic alliance and partnership with major industries in the region & promote technology venture and entrepreneur leadership.
2. Objectives
The objective of Master of Science in Electrical Engineering program is to enhance the student’s ability to get successful advancement in their chosen fields either industry, academia or public institution. Further, to make significant contribution to the field of Electrical Engineering, MSEE degree provides intensive preparation for professional practice in a broad spectrum of high-technology areas of Electrical Engineering.
3. MSEE(2 Years Program)
The 30 credit hour MSEE program is concerned with efficient contributions to emerging industry standards and development of competitive knowledge of Engineering.
Important motivations like collaboration between circuits and power systems as well as the design of intelligent power networks, where signal processing and communication advancement is applied to efficient energy distribution, are some clear advantages.
The combination of devices, circuits, systems and algorithms, applied to power systems, gives to EE a consistent front of interlaced technologies. The major fields of specialization are Telecommunication, Power Systems, Computer & Electronics Design and Automation & Control systems.
4. MS(EE) Specializations:
MS in Electrical Engineering includes the following specializations or major areas:
- Communication Systems and Networks
- Automation and Control
- Power Systems
- Embedded Systems
4.1. Communication Systems and Networks
The MS in Communication Systems and Networks aims to provide students with a sound background in techniques and issues of modern communication system particularly the wireless and internet communications. It derives its uniqueness from the research activities of the communication and signal processing research groups of the department of Electronics; providing students with a complete picture of modern communication technology as well as a thorough theoretical and practical knowledge of radio communication techniques, signal processing, network protocols, and the design and optimization of communication networks.
MS research thesis/projects cover a range of applications in areas of:
- Advanced Optical and Wireless Networks
- Future Generation Communication Technologies
- Cognitive Cooperative Networks
- Digital Signal and Image Processing
- Vehicular Networks and Intelligent Transportation Systems
4.2. Embedded Systems:
Embedded systems are a key technology of modern society. Whether in the self-propelled industry, aerospace, medicinal technology or in telecoms, media and sport industries. Embedded systems always behave a major role in hi-tech technology.
The MS in Embedded Systems provides a solid theoretical and practical hands on experience to design Microelectronic and mechanic devices using software-based components to respond real-time to process inputs to ensure proper operation. With the techniques used in modern digital system design using FPGAs as hardware platform and VHDL as digital design language. The program combines relevant theory, state-of-the-art tools and methodologies used in industry and academia. Special emphasis is placed on engineering skills, integration of software and hardware, system design, safety, reliability and optimization of the design process. Focused research areas are…
- Hardware Software Co-design approach
- Real time Operating Systems
- Systems on chips
- Software Defined Radio
- High level language Approach
4.3. Automation and Control:
The MS in 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. This course covers all the major disciplines in automation and control. It includes a thorough analysis of advanced control systems, industrial automation technologies, systems integration, distributed control systems and field bus protocols. This course provides an ideal platform to begin a career as a design or development engineer in control and automated systems
4.4. Power Systems:
The MS in power system engineering aims to provide students with theoretical and practical skills to become a design and development engineer in the area of electrical power engineering. Throughout the program students shall be exposed to industry standard computer aided software design tool and packages such as MagNet, MATLAB, Simulink, PSpice and ERACS to afford them a more hands on approach that shall leave them more attractive for prospective employers. The course develops a sound knowledge in the key subject areas of:
- Electrical Machines
- Electrical Power
- Power Electronics
- State Space Analysis and Controller Design
- Control of Electric Drives
- Design of Modern Electrical Machines and Drives
- Renewable energy
- Smart grids
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.
Thesis Option (MS by Research): The requirement is minimum 24 credit hours of course work and 6 credit hours of thesis involving research work.
Non-Thesis Option (MS by Course work): The requirement is minimum 30 credit hours of course work.
Semester Roadmap for MSEE
Semester – I
| S# | Course Code | Title | Credit Hours |
| i. | ESC 701 | Core – I Research Methodology (University Requirement) | 3 |
| ii. | Core – II | 3 | |
| iii. | Core – III | 3 |
Semester – II
| S# | Course Code | Title | Credit Hours |
| i. | Core – IV | 3 | |
| ii. | Core- V | 3 | |
| iii. | Elective I | 3 |
Semester – III
| S# | Course Code | Title | Credit Hours |
| i. | Elective-II | 3 | |
| ii. | THS 799 / Elective Code | Thesis-I / Elective IV | 3 |
Semester – IV
| S# | Course Code | Title | Credit Hours |
| i. | Elective-III | 3 | |
| ii. | THS 799 / Elective Code | Thesis-II / Elective V | 3 |
- As approved in advance by the graduate advisor after completion of 18 credit hours course work with sufficient CGPA.
** Thesis contains 6 credit hours.
LIST OF COURSES
The Core and Elective courses of all three specializations are listed below. It is mandatory to pass all the core courses mentioned in the roadmap and offered for respective domain.
Communication Systems and Networks
Core Courses
| Sr.
No. |
Course Code | Core Course Title | Credit Hours |
| 1. | EEN 710 | Stochastic Process for Engineers | 3 |
| 2. | EET 755 | Wireless Communication Techniques | 3 |
| 3. | EEN 712 | Advanced Digital Communication Systems | 3 |
| 4. | EET 724 | Optimization Techniques in Electrical Engineering | 3 |
| 5. | ESC 701 | Research Methodology | 3 |
List of Elective Courses
| Sr. No. | Course Code | Course Title | Credit Hours | |||||||||
| 1. | EET 766 | RF System Engineering and Design | 3 | |||||||||
| 2. | EET 75 0 | Antennas Theory, Design and Applications | 3 | |||||||||
| 3. | EET 729 | Wireless Sensor Networks | 3 | |||||||||
| 4. | EET 762 | Communication Network Architecture and Protocols | 3 | |||||||||
| 5. | EET 768 | Cognitive & software Defined Radio | 3 | |||||||||
| 6. | EEN 740 | Embedded System Design for Telecommunications | 3 | |||||||||
| 7. | EET 75 6 | Telecommunication Switching Systems | 3 | |||||||||
| 8. | EET 702 | Advanced Network Security | 3 | |||||||||
| 9. | CEN 745 | Advanced Digital Image Processing | 3 | |||||||||
| 10. | ESC 716 | Advanced Topics in Wireless & Networking | 3 | |||||||||
| 11. | EEN 725 | Advanced Digital Signal Processing | 3 | |||||||||
| 12. | EET 770 | Advanced Information Theory and Coding | 3 | |||||||||
| 13. | EET 731 | IoT for Industry 4.0 | 3 | |||||||||
| 14. | EET 730 | AI for Internet of Things | 3 | |||||||||
| 15. | EET 728 | Security for Internet of Things | 3 | |||||||||
| 16. | EET 725 | Advanced Routing & Switching | 3 | |||||||||
| 17. | EEP 712 | Advanced Power Electronics | 3 | |||||||||
| 18. | CEN 752 | Advanced VLSI System Design | 3 | |||||||||
| 19. | CSC 711 | Advanced Artificial Intelligence | 3 | |||||||||
| 20. | EET 757 | Mobile Computing | 3 | |||||||||
| 21. | EET 769 | Mobile/Vehicular Adhoc Network | 3 | |||||||||
| 22. | EET 771 | IoE & Digital Ecosystems | 3 | |||||||||
| 23. | EET 772 | Data Networks & Security Technologies | 3 | |||||||||
Automation and Control
Core Course
| Sr. | Course Code | Core Course Title | Credit Hours |
| 1 | ESC 701 | Research Methodology | 3 |
| 2 | EEN 710 | Stochastic Process for Engineers | 3 |
| 3 | EET 724 | Optimization Techniques in Electrical Engineering | 3 |
| 4 | EEA 712 | AI Enhanced Control Systems | 3 |
| 5 | EEN 726 | Modern Control Theory | 3 |
Elective Courses
| Sr. | Course Code | Elective Course Title | Credit Hours |
| 1 | EEA 713 | Robust Multivariable Control System | 3 |
| 2 | EEA 703 | Dynamic Modeling system | 3 |
| 3 | EEA 749 | Fuzzy Logic and Intelligent Control Systems | 3 |
| 4 | EEA 750 | Nonlinear System Analysis & Control | 3 |
| 5 | EEA 704 | Adaptive Control Systems | 3 |
| 6 | CEN 758 | Robotics and Intelligent Sensors | 3 |
| 7 | CEN 722 | Advanced Interfacing Techniques | 3 |
| 8 | EEA 751 | Advanced Mechatronics | 3 |
| 9 | EEA 752 | Advanced Industrial Automation Technologies | 3 |
| 10 | EEA 601 | Industrial Automation Technologies | 3 |
| 11 | EEA 753 | Robotics Essentials | 3 |
| 12 | EEA 754 | Robot Motion Planning | 3 |
| 13 | CEN 758 | Robotics & Intelligent Sensors | 3 |
| 14 | CEN 745 | Advanced Digital Image Processing | 3 |
| 15 | EEN 725 | Advanced Digital Signal Processing | 3 |
| 16 | EEP 712 | Advanced Power Electronics | 3 |
| 17 | CSC 711 | Advanced Artificial Intelligence | 3 |
| 18 | CEN 752 | Advanced VLSI System Design | 3 |
| 19 | EEA 702 | Advance Topics in Control Systems | 3 |
| 20 | EEA 716 | Control Instrumentation and Robotics | 3 |
| 21 | EEA 715 | Industrial Project Management | 3 |
| 22 | EEA 717 | Process Control Commissioning and Production Management | 3 |
Power Systems
Core Course
| Sr. | Course Code | Core Course Title | Credit Hours |
| 1 | ESC 701 | Research Methodology | 3 |
| 2 | EEN 710 | Stochastic Process for Engineers | 3 |
| 3 | EEP 710 | Advanced Power Transmission & Distribution | 3 |
| 4 | EEP 711 | Advanced Power Generation and Plant Operation | 3 |
| 5 | EET 724 | Optimization Techniques in Electrical Engineering | 3 |
Elective Courses
| Sr. | Course Code | Elective Course Title | Credit Hours |
| 1. | EEP 716 | Advanced Power System Analysis | 3 |
| 2. | EEP 717 | Advanced Power System Planning | 3 |
| 3. | EEP 718 | Advanced Power System Protection | 3 |
| 4. | EEP 713 | Advanced High Voltage Engineering Design | 3 |
| 5. | EEP 754 | Smart Grid System Operation | 3 |
| 6. | EEP 722 | Advanced Power System Reliability | 3 |
| 7. | EEP 564 | Advanced Hydel Power Generation | 3 |
| 8. | EEP 719 | Advanced Topics in Power Systems Engineering | 3 |
| 9. | EEP 724 | Advanced Renewable Energy | 3 |
| 10. | EEP 757 | Non Conventional Energy Systems | 3 |
| 11. | EEP 725 | Advanced Solar Power Generation | 3 |
| 12. | EEP 726 | Advanced Wind Power Generation | 3 |
| 13. | EEP 727 | Advanced Hybrid Power Generation | 3 |
| 14. | EEP 723 | Thermal and Nuclear Power Generation | 3 |
| 15. | EEP 720 | Computer Methods in Power Systems | 3 |
| 16. | EEP 721 | Insulation Co ordination in Power Systems | 3 |
| 17. | EEP 712 | Advanced Power Electronics | 3 |
| 18. | EEP 728 | Special Topics in Power System Operation and Control | 3 |
| 19. | EEP 780 | EMS & SCADA | 3 |
| 20. | EEA 713 | Robust Multivariable Control System | 3 |
| 21. | EEA 749 | Fuzzy Logic and Intelligent Control Systems | 3 |
| 22. | EEA 750 | Nonlinear System Analysis & Control | 3 |
| 23. | EEP 729 | Integration of Distributed Generation in Power Systems` | 3 |
| 24. | EEP 771 | HVDC and Flexible AC Transmission | 3 |
| 25. | EEP 771 | Low Power System Design | 3 |
| 26. | CEN 752 | Advanced VLSI System Design | 3 |
| 27. | CSC 711 | Advanced Artificial Intelligence | 3 |
| 28. | EEP 773 | Power System Stability and Dynamics | 3 |
MS EE (Communication Systems & IoT Networks)
Core Courses
| Sr. | Course Code | Core Course Title | Credit Hours |
| 1. | ESC 701 | Research Methodology | 3 |
| 2. | EEN 710 | Stochastic Process for Engineers | 3 |
| 3. | EET 724 | Optimization Techniques in Electrical Engineering | 3 |
| 4 | EEN 712 | Advanced Digital Communication Systems | 3 |
| 5 | EET 755 | Wireless Communication Techniques | 3 |
Elective Courses
| Sr. | Course Code | Elective Course Title | Credit Hours |
| 1. | EET 729 | Wireless Sensor Networks | 3 |
| 2. | EET 762 | Communication Network Architecture and Protocols | 3 |
| 3. | EET 766 | RF System Engineering and Design | 3 |
| 4. | EET 750 | Antennas Theory, Design and Applications | 3 |
| 5. | EET 768 | Cognitive & software Defined Radio | 3 |
| 6. | CEN 752 | Advanced VLSI System Design | 3 |
| 7. | EEN 740 | Embedded System Design for Telecommunications | 3 |
| 8. | EET 756 | Telecommunication Switching Systems | 3 |
| 9. | EET 702 | Advanced Network Security | 3 |
| 10. | CEN 745 | Advanced Digital Image Processing | 3 |
| 11. | ESC 716 | Advanced Topics in Wireless & Networking | 3 |
| 12. | EEN 725 | Advanced Digital Signal Processing | 3 |
| 13. | EET 770 | Advanced Information Theory and Coding | 3 |
| 14. | EET 731 | IoT for Industry 4.0 | 3 |
| 15. | EET 730 | AI for Internet of Things | 3 |
| 16. | EET 728 | Security for Internet of Things | 3 |
| 17. | EET 725 | Advanced Routing & Switching | 3 |
| 18. | EEP 712 | Advanced Power Electronics | 3 |
| 19. | CSC 711 | Advanced Artificial Intelligence | 3 |
| 20. | EET 757 | Mobile Computing | 3 |
| 21. | EET 769 | Mobile/Vehicular Adhoc Network | 3 |
| 22. | EET 771 | IoE & Digital Ecosystems | 3 |
| 23. | EET 772 | Data Networks & Security Technologies | 3 |