1. Program Mission
The MS program at the department of Electrical Engineering at Bahria University strives to provide an environment which is conducive to enhance the technical knowledge of professional Engineers at an advanced level and to prepare them to conduct and present innovation and research, and to produce highly skilled professionals and academicians.
2. Objectives
The objective of Master of Science in Electrical Engineering program is to enhance the student’s technical knowledge so that they could identify, formulate and solve complex engineering problems. Further, to improve their ability to conduct meaningful research and to present their work in the form of written and oral presentation. Also, to make significant contribution to the field of Electrical Engineering, MSEE program objective is to prepare professionals to meet challenges associated with science in industry or in academia or in any other public institution.
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 program consists of 24 CH course work with mandatory 6 CH research. The major fields of specialization are Power Systems, Communication Systems & IoT Networks, Automation & Control.
3.1. Eligibility Criteria:
- Bachelor of Science in Electrical Engineering or related disciplines from an accredited institution with minimum CGPA of 2.5 out of 4.0.
- Graduates from other engineering disciplines or 16-year degree in Computer Science, Electronics, Physics 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.
4. MS(EE) Specializations:
MS in Electrical Engineering includes the following specializations or major areas:
- Communication Systems and IoT Networks
- Automation and Control
- Power Systems
4.1. Communication Systems And IoT 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. 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 tobegin a career as a design or development engineer in control and automated systems
4.3. 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.
5.1. Semester Roadmap For MSEE (MS By Research)
Semester 1
| i. | Stochastic Systems (Core-I) |
| ii. | Core – II |
| iii. | Elective – I |
Semester 2
| i. | Core-III |
| ii. | Core – IV |
| iii. | Research Methodology |
Semester 3
| i. | Core – V |
| ii. | Thesis |
Semester 4
| i. | Elective – II |
| ii. | Thesis |
5.2. Semester Roadmap For MSEE (MS By Coursework)
Semester 1
| i. | Stochastic Systems (Core-I) |
| ii. | Core – II |
| iii. | Elective – I |
Semester 2
| i. | Core-III |
| ii. | Core – IV |
| iii. | Elective – II (University Requirement) |
Semester 3
| i. | Elective – III |
| ii. | Elective – IV |
Semester 4
| i. | Elective – V |
| ii. | Elective – VI |
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.
6. Communication Systems and IoT Networks
6.1. Core Courses
|
Sr. |
Course Code |
Core Course Title |
Credit Hours |
|
1. |
ESC 501 |
Research Methodology |
3 |
|
2. |
EEN 510 |
Stochastic Process |
3 |
|
3. |
EET 724 |
Optimization Techniques in Electrical Engineering |
3 |
|
4 |
EEN 712 |
Advanced Digital Communication Systems |
3 |
|
5 |
EET 603 |
Communication Technologies & Platforms for IoT |
3 |
|
|
|
||
6.2. List Of Elective Courses
|
Sr. |
Course Code |
Elective Course Title |
Credit Hours |
|
|
1. |
EET 850 |
Wireless Sensor Networks |
3 |
|
|
2. |
EET 762 |
Communication Network Architecture and |
3 |
|
|
Protocols |
|
|||
|
|
|
|
|
|
|
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. |
EET 755 |
Wireless Communication Techniques |
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 560 |
Telecommunication Network Management |
3 |
|
|
14. |
EET 555 |
Wireless & Mobile Communications |
3 |
|
|
15. |
EET 552 |
Multimedia Networking |
3 |
|
|
16. |
EET 553 |
Information Theory and Coding |
3 |
|
|
17. |
EET 546 |
Radio & Microwave Engineering |
3 |
|
|
18. |
EET 555 |
Wireless & Mobile Communications |
3 |
|
|
19. |
EET 558 |
5G And Internet of Things |
3 |
|
|
20. |
EET 559 |
Programming of Internet of Things |
3 |
|
|
21. |
EET 601 |
Narrow Band IoT Systems |
3 |
|
|
22. |
EET 731 |
IoT for Industry 4.0 |
3 |
|
|
23. |
EET 730 |
AI for Internet of Things |
3 |
|
|
24. |
EET 603 |
SDN for Internet of Things |
3 |
|
|
25. |
EET 728 |
Security for Internet of Things |
3 |
|
|
26. |
EET 602 |
Ultra-Low Power Radios for IoT |
3 |
|
7. Automation and Control
7.1. Core Courses
|
|
|
|
|
|
||||||
|
Sr. |
Course Code |
Core Course Title |
Credit Hours |
|||||||
|
1 |
ESC 501 |
Research Methodology |
3 |
|||||||
|
2 |
EEN 510 |
Stochastic Process |
3 |
|||||||
|
3 |
EET 724 |
Optimization Techniques in Electrical Engineering |
3 |
|||||||
|
4 |
EEA 600 |
Artificial Intelligence for Control Systems |
3 |
|||||||
|
5 |
EEN 726 |
Modern Control Theory |
3 |
|||||||
|
7.2. 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 509 |
Nonlinear Control Systems |
|
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 540 |
Mechatronics |
|
3 |
||||
|
9 |
|
|
EEN 435 |
Solid State Devices |
|
3 |
||||
|
10 |
|
|
EEA 601 |
Industrial Automation Technologies |
|
3 |
||||
|
11 |
|
|
EEA 602 |
System Integration |
|
3 |
||||
|
12 |
|
|
EEA 715 |
Industrial Project Management |
|
3 |
||||
|
13 |
|
|
EEA 716 |
Control Instrumentation and Robotics |
|
3 |
||||
|
14 |
|
|
EEA 717 |
Process Control Commissioning and Production Management |
|
3 |
||||
|
|
|
|
|
|
|
|
|
|||
8. Power Systems
8.1. Core Courses
|
Sr. |
Course Code |
Core Course Title |
Credit Hours |
|
|
|
|
|
|
1 |
ESC 501 |
Research Methodology |
3 |
|
2 |
EEN 510 |
Stochastic Process |
3 |
|
3 |
EET 724 |
Optimization Techniques in Electrical Engineering |
3 |
|
4 |
EEP 558 |
Power Transmission and Distribution |
3 |
|
5 |
EEP 559 |
Power Generation and Plant Operation |
3 |
|
|
|
|
|
8.2. 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 561 |
High Voltage Engineering Design |
3 |
|
5. |
EEP 754 |
Smart Grid System Operation |
3 |
|
6. |
EEP 521 |
Design of Electrical Machines |
3 |
|
7. |
EEP 564 |
Hydel Power Generation |
3 |
|
8. |
EEP 565 |
Integration of Distributed Generation |
3 |
|
9. |
EEP 566 |
Power System Reliability |
3 |
|
10. |
EEP 719 |
Advanced Topics in Power Systems Engineering |
3 |
|
11. |
EEP 514 |
Renewable Energy |
3 |
|
12. |
EEP 757 |
Non-Conventional Energy Systems |
3 |
|
13. |
EEP 516 |
Solar Power Generation |
3 |
|
14. |
EEP 517 |
Wind Power Generation |
3 |
|
15. |
EEP 519 |
Hybrid Power Systems |
3 |
|
16. |
EEP 714 |
Advanced Topics in Renewable Energy |
3 |
|
17. |
EEP 723 |
Thermal and Nuclear Power Generation |
3 |
|
18. |
EEP 720 |
Computer Methods in Power Systems |
3 |
|
19. |
EEP 721 |
Insulation Co-ordination in Power Systems |
3 |
|
20. |
EEP 712 |
Advanced Power Electronics |
3 |
|
21. |
EEP 502 |
Advanced Power System Operation and Control |
3 |
|
22. |
EEP 780 |
EMS & SCADA |
3 |
|
23. |
EEA 713 |
Robust Multivariable Control System |
3 |
|
24. |
EEA 749 |
Fuzzy Logic and Intelligent Control Systems |
3 |
|
25. |
EEA 509 |
Nonlinear Control Systems |
3 |