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 major fields of specialization are Telecommunication, Power Systems, Computer & Electronics Design and Automation & Control systems.
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 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 tobegin 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.
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. | Elective – II / Thesis |
Semester 4
| i. | Elective – III |
| ii. | Elective – IV / 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 Networks
6.1. Core Courses
| Sr. No. | Course Code | Core Course Title | Credit Hours |
| 1. | EEN510 | Stochastic Processes | 3 |
| 2. | EET555 | Wireless and Mobile Communications | 3 |
| 3. | EEN712 | Advanced Digital Communications Systems | 3 |
| 4. | EET762 | Communication Networks Arch & Protocols | 3 |
6.2. List of Elective Courses
| Sr. No. | Course Code | Course Title | Credit Hours |
| 1. | EET766 | RF System Engineering and Design | 3 |
| 2. | EET750 | Antennas Theory, Design and Applications | 3 |
| 3. | EET447 | Radar Systems | 3 |
| 4. | EET449 | Satellite Communications | 3 |
| 5. | EET755 | Wireless Communication Techniques | 3 |
| 6. | EEN740 | Embedded System Design for Telecommunications | 3 |
| 7. | EET756 | Telecommunication Switching Systems | 3 |
| 8. | EET560 | Telecommunication Network Management | 3 |
| 9. | EET706 | Advanced Optical Fiber Networks | 3 |
| 10. | EET725 | Advanced Routing and Switching | 3 |
| 11. | EET726 | Advanced Internet Technologies | 3 |
| 12. | EET723 | Optimization Techniques | |
| 13. | EET850 | Wireless Sensor Networks | 3 |
| 14. | EET713 | Advanced Network Design | 3 |
| 15. | EET757 | Mobile Computing | 3 |
| 16. | EET552 | Multimedia Networking | 3 |
| 17. | EET702 | Advanced Network Security | 3 |
| 18. | CEN745 | Advanced Digital Image Processing | 3 |
| 19. | ESC716 | Advanced Topics inWireless &Networking | 3 |
| 20. | ESC501 | Research Methodology (Univ Requirement) | 3 |
| 21. | EET553 | Information Theory and Coding | 3 |
| 22. | EEN725 | Advanced Digital Signal Processing | 3 |
| 23. | EET727 | Cognitive Cooperative Networks | 3 |
7. Automation and Control
7.1. Core Courses
| Sr. No. | Course Code | Core Course Title | Credit Hours |
| 1. | EEN510 | Stochastic Systems | 3 |
| 2. | EEN524 | Electronic Design and Analysis | 3 |
| 3. | EEN726 | Modern Control Theory | 3 |
| 4. | EEN725 | Advanced Digital Signal Processing | 3 |
7.2. Elective Courses
| Sr. No. | Course Code | Elective Course Title | Credit Hours |
| 1. | EEP712 | Advanced Power Electronics | 3 |
| 2. | EEA713 | Robust Multivariable Control system | 3 |
| 3. | EEN523 | Electronic Instruments | 3 |
| 4. | CEN507 | Embedded Control System | 3 |
| 5. | EEN509 | Non-Linear Control Systems | 3 |
| 6. | EEN506 | Solid State Devices | 3 |
| 7. | CEN508 | Distributed Control Systems | 3 |
| 8. | CEN758 | Robotics and Intelligent sensors | 3 |
| 9. | CSC749 | Fuzzy Logic and Intelligent Control Systems | 3 |
| 10. | EEA540 | Mechatronics | 3 |
| 11. | CEN722 | Advanced Interfacing Techniques | 3 |
| 12. | EEA741 | Advanced Topic in Industrial Automation | 3 |
| 13. | EEA702 | Advanced Topic in Control Systems | 3 |
| 14. | CEN745 | Advanced Image Processing | 3 |
| 15. | ESC501 | Research Methodology (Univ Requirement) | 3 |
| 16. | EEA703 | Dynamic Modelling Systems | 3 |
| 17 | EET723 | Optimization Techniques | 3 |
| 18. | EEA704 | Adaptive Control Systems | 3 |
8. Power Systems
8.1. Core Courses
| Sr. No. | Course Code | Core Course Title | Credit Hours |
| 1. | EEN510 | Stochastic Systems | 3 |
| 2. | EEP514 | Renewable Energy | 3 |
| 3. | EEP558 | Power Transmission and Distribution | 3 |
| 4. | EEP559 | Power Generation and Plant Operation | 3 |
8.2. Elective Courses
| Sr. No. | Course Code | Elective Course Title | Credit Hours |
| 1. | EEP716 | Advanced Power System Analysis | 3 |
| 2. | EEP717 | Advanced Power System Planning | 3 |
| 3. | EEP718 | Advanced Power System Protection | 3 |
| 4. | EEP561 | High Voltage Engineering Design | 3 |
| 5. | EEP754 | Smart Grid System Operation | 3 |
| 6. | EEP521 | Design of Electrical Machines | 3 |
| 7. | EEP564 | Hydel Power Generation | 3 |
| 8. | EEP565 | Integration of Distributed Generation | 3 |
| 9. | EEP566 | Power System Reliability | 3 |
| 10. | EEP719 | Advanced Topics in Power Systems Engineering | 3 |
| 11. | EEP514 | Renewable Energy | 3 |
| 12. | EEP757 | Non-Conventional Energy Systems | 3 |
| 13. | EEP516 | Solar Power Generation | 3 |
| 14. | EEP517 | Wind Power Generation | 3 |
| 15. | EEP519 | Hybrid Power Systems | 3 |
| 16. | EEP714 | Advanced Topics in Renewable Energy | 3 |
| 17. | EEP723 | Thermal and Nuclear Power Generation | 3 |
| 18. | EEP720 | Computer Methods in Power Systems | 3 |
| 19. | EEP721 | Insulation Co-ordination in Power Systems | 3 |
| 20. | EEP716 | Advanced Power Electronics | 3 |
| 21. | EEP502 | Advanced Power System Operation and Control | 3 |
| 22. | EEP501 | Research Methodology (Univ. Requirement) | 3 |
9. Embedded Systems
9.1 Core Courses
| Sr. No. | Course Code | Core Course Title | Credit Hours |
| 1. | EEN510 | Stochastic Systems | 3 |
| 2. | EEN725 | Advanced Digital Signal Processing | 3 |
| 3. | CEN741 | ASIC and FPGA Design | 3 |
| 4. | CEN540 | Embedded Systems Design | 3 |
9.2 Elective Courses
| Sr. No. | Course Code | Course Title | Credit Hours |
| 1. | CEN760 | Reconfigurable Computing | 3 |
| 2. | CEN740 | Advanced Embedded System Design | 3 |
| 3. | EET731 | Modeling, Simulation and Specification | 3 |
| 4. | CEN745 | Advanced Image Processing | 3 |
| 5. | CEN501 | Embedded Operating Systems | 3 |
| 6. | CEN760 | Advanced Algorithms & Complexity | 3 |
| 7. | EEP501 | Research Methodology (Univ. Requirement) | 3 |
| 8. | CEN741 | ASIC Design Methodology | 3 |
| 9. | CEN742 | Advanced Digital System Design | 3 |
| 10. | CEN761 | System Level Packaging | 3 |
| 11. | CEN752 | Advanced VLSI System Design | 3 |
| 12. | CEN502 | Mixed Signal IC Design | 3 |
| 13. | CEN503 | Computerized Tomography Systems | |
| 14. | CEN504 | Digital Data Acquisition & Control | 3 |
| 15. | CEN762 | Advanced Topic in Embedded Systems | 3 |
| 16. | CEN763 | System on Chip Architecture and Programming | 3 |
| 17. | CEN764 | Design of Fault-Tolerant Systems | 3 |
| 18. | CEN765 | Selected Topics in Digital Systems | 3 |
| 19. | CEN720 | Advanced Computer Architecture | 3 |