Title of Degree:
Master of Science in Electrical Engineering

Degree Duration:

  • 2 Years
  • Maximum duration is 4 Years

Admission Requirements:

  • As per advertisement
  • PEC Registration is mandatory
  • Admission test passing marks: 65 out of 100

Intake:
Twice a year (Spring and Fall semester)

Research Strengths
Research thesis can be done in any of the following areas:

  1. Communication Systems
  2. Signal and Image Processing
  3. Power and Control Systems
  4. Advanced Electronics

Degree Requirements:

  • 24 Credit Hours of Course Work
  • 06 Credit Hours of Research Work
  • 02 Credit Hours of Research Methodology Course (Non Credit)

Course Guidelines:

  • Compulsory Courses
    • Advance Engineering Mathematics
    • Research Methodology (Non Credit)

Semester wise course distribution of MS in Electrical Engineering

  Course code Course Title Lecture Hrs. Credit Hours
1st Semester EE501 Advanced Engineering Mathematics 3 3
EEXXX Course I 3 3
EEXXX Course II 3 3
EEXXX Course III 3 3
Total Credit Hours 12 12
2nd Semester Course Code Course Title Lecture Hrs. Credit Hours
EEXXX Course IV 3 3
EEXXX Course V 3 3
EEXXX Course VI 3 3
EEXXX Course VII 3 3
Total Credit Hours 12 12
3rd Semester Course Code Course Title Lecture Hrs. Credit Hours
EE500 Research Methodology 2 Non-Credit
EEXXX Thesis 0 3
Total Credit Hours 2 3
4th Semester Course Code Course Title Lecture Hrs. Credit Hours
EEXXX Thesis 0 3
Total Credit Hours 0 3
Total Credit Hours of Degree 30

List of Courses (MS in Electrical Engineering)

Group 1

Sr. No. Course Code Course Title
1 EE520 Microelectronic Devices
2 EE521 Microsystems Technology
3 EE522 Optoelectronic Devices
4 EE523 Microwave and Millimeter-wave Devices
5 EE524 Advanced Computer Architecture
6 EE620 Advanced VLSI Design
7 EE621 Photonic Devices & Circuits
8 EE622 MEMS and Micromachining
9 EE623 Advanced Microelectronic Technology
10 EE624 Advanced Semiconductor Devices
11 EE625 Modeling and Simulation of Semiconductor Devices
12 EE626 Photovoltaic Electronics
13 EE627 Power Semiconductor Devices
14 EE628 Photovoltaic Material system
15 EE629 Analytical Methods in Nano-scale Electronics

Group 2

Sr. No. Course Code Course Title
1 EE630 Advanced Digital Image Processing   
2 EE631 Digital Signal Processing with Field Programmable Gate Arrays (FPGAs)
3 EE632 Data Compression and Modeling 
4 EE633 Advanced Digital Signal Processing I
5 EE634 Biomedical Signal and Image Processing
6 EE635 Image and Signal Processing for Remote Sensing
7 EE636 Radar Signal Processing
8 EE637 Radar Image Processing
9 EE639 Hyperspectral Image Processing

Group 3

Sr. No. Course Code Course Title
1 EE535 Advanced Digital Communications I
2 EE540 Broadband Communication
3 EE541 Advanced Coding Theory
4 EE542 Advanced Information Theory
5 EE543 Information Security
6 EE545 Advanced Digital Communication II
7 EE548 Advanced Satellite Communication 
8 EE550 Advanced Electromagnetic Theory
9 EE641 RF – System Design
10 EE642 Network Security
11 EE644 Advanced Computer Networks
12 EE647 Ad Hoc and Sensor Networks
13 EE648 Multimedia Services Over IP Networks
14 EE649 Antenna Theory and Design
15 EE656 Mobile and Wireless Networks

Group 4

Sr. No. Course Code Course Title
1 EE550 Power Generation
2 EE551 High Voltage Engineering Design
3 EE552 Advanced Power System Operation And Control
4 EE554 Energy Resources
5 EE555 Power Transmission & Distribution
6 EE556 Power Generation & Plant Operation
7 EE557 Power System Dynamics and Stability
8 EE558 Electrical Energy Systems
9 EE560 Advanced Linear Control Systems
10 EE650 Advanced Power Electronics
11 EE651 Power Converters and Inverters  
12 EE653 Solar Technologies
13 EE654 Renewable Energy Technologies 
14 EE655 Renewable Energy
15 EE656 Power System Analysis
16 EE658 Power System Protection
17 EE659 Electrical Machines and their applications
18 EE660 Digital Control Systems
19 EE661 Robust Control Systems
20 EE662 Adaptive Control System
21 EE663 Systems Identification
22 EE664 Non-linear Control Systems
23 EE665 Stochastic Control
24 EE666 Fuzzy Control Systems
25 EE667 Optimal Control Systems

Group 5

Sr. No. Course Code Course Title
1 EE501 Advanced Engineering Mathematics
2 EE600 Stochastic Processes
3 EE601 Introduction to Optimization Techniques
4 EE602 Evolutionary Computing Techniques
5 EE603 Statistical Machine Learning

Contact Information
Graduate program Office
Department of Electrical Engineering
Faculty of Engineering and Technology
International Islamic University, Islamabad
[email protected]
+9251-9019581