Title of Degree:
Master of Science in Electrical Engineering

Degree Duration:

  • 1.5 Years
  • Maximum duration is 4 Years

Admission Requirements:

  • As per advertisement
  • PEC Registration is mandatory
  • University Admission Test
  • Interview

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 EE601 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
EE600 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: Stream 1 codes {0,1}

Sr. No. Course Code Course Title
1 EE601 Microelectronic Devices
2 EE602 Microsystems Technology
3 EE603 Optoelectronic Devices
4 EE604 Microwave and Millimeter-wave Devices
5 EE605 Advanced Computer Architecture
6 EE701 Advanced VLSI Design
7 EE702 Photonic Devices & Circuits
8 EE703 MEMS and Micromachining
9 EE704 Advanced Microelectronic Technology
10 EE705 Advanced Semiconductor Devices
11 EE706 Modeling and Simulation of Semiconductor Devices
12 EE707 Photovoltaic Electronics
13 EE708 Power Semiconductor Devices
14 EE709 Photovoltaic Material system
15 EE710 Analytical Methods in Nano-scale Electronics

Group 2: Stream 2 codes {2,3,4}

Sr. No. Course Code Course Title
1 EE620 Advanced Digital Image Processing   
2 EE621 Digital Signal Processing with Field Programmable
Gate Arrays (FPGAs)
3 EE622 Data Compression and Modeling 
4 EE623 Advanced Digital Signal Processing I
5 EE624 Biomedical Signal and Image Processing
6 EE625 Image and Signal Processing for Remote Sensing
7 EE626 Radar Signal Processing
8 EE627 Radar Image Processing
9 EE628 Hyperspectral Image Processing

 Group 3 Stream 3 Codes {5,6}

Sr. No. Course Code Course Title
1 EE650 Advanced Digital Communications I
2 EE651 Broadband Communication
3 EE652 Advanced Coding Theory
4 EE653 Advanced Information Theory
5 EE654 Information Security
6 EE655 Advanced Digital Communication II
7 EE656 Advanced Satellite Communication 
8 EE657 Advanced Electromagnetic Theory
9 EE751 RF – System Design
10 EE752 Network Security
11 EE753 Advanced Computer Networks
12 EE754 Ad Hoc and Sensor Networks
13 EE755 Multimedia Services Over IP Networks
14 EE756 Antenna Theory and Design
15 EE757 Mobile and Wireless Networks
16 EE658 Advanced Engineering Mathematics
17 EE758 Stochastic Processes
18 EE759 Introduction to Optimization Techniques
19 EE600 Research Methodology (Non Credit)

Group 4 : Stream 4 Codes {7,8,9}

Sr. No. Course Code Course Title
1 EE670 Power Generation
2 EE671 High Voltage Engineering Design
3 EE672 Advanced Power System Operation And Control
4 EE673 Energy Resources
5 EE674 Power Transmission & Distribution
6 EE675 Power Generation & Plant Operation
7 EE676 Power System Dynamics and Stability
8 EE677 Electrical Energy Systems
9 EE678 Advanced Linear Control Systems
10 EE679 Advanced Power Electronics
11 EE781 Power Converters and Inverters  
12 EE782 Solar Technologies
13 EE783 Renewable Energy Technologies 
14 EE784 Renewable Energy
15 EE785 Power System Analysis
16 EE786 Power System Protection
17 EE787 Electrical Machines and their applications
18 EE788 Digital Control Systems
19 EE789 Robust Control Systems
20 EE790 Adaptive Control System
21 EE791 Systems Identification
22 EE792 Non-linear Control Systems
23 EE793 Stochastic Control
24 EE794 Fuzzy Control Systems
25 EE795 Optimal Control Systems
26 EE796 Evolutionary Computing Techniques
27 EE797 Statistical Machine Learning

 THESIS:

28 EE799 Thesis

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