In the contemporary tech-driven world, the field of electrical engineering is envisaged to play a game-changing role. It solves challenges in every single aspect of our daily lives from clean energy supply and secure communications to health care and the sustainable environment. The department of Electrical Engineering at Mohammad Ali Jinnah University attempts to resolve these challenges through its state-of-the-art research-oriented MS program in various specialized fields, i.e. Power Electronics Systems, Robotics and Intelligent Systems, Signal and Image Processing, Sensors & Communications, and Engineering Project Management each with its own specific knowledge and research focus. To support research efforts, the department provides MS students with state-of-the-art research equipment and substantial resources to complete their research pursuits.

  • Communication and Sensors
  • Industrial Control and Automation
  • Power Electronics and Renewable Energy Systems
  • Signal and Image Processing
  • Robotics and Intelligent Control Systems
  • Engineering Management


  PEO-1Be leaders in industry or academia due to their competency in identifying, formulating and solving complex engineering problems.
  PEO-2Exhibit quest for learning and initiative by continuously broadening their abilities and enhancing their technical skills to maintain their relevance with technological change.


  PLO-1Engineering Knowledge

apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

  PLO-2Problem Analysis

Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

  PLO-3Design/Development of Solutions

Design solution for complex engineering problems and design system, components or processes that meet specified need with appropriate consideration for public health and safety, cultural, societal and environmental consideration.


Investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments.

  PLO-5Modren Tool Usage

Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modeling, to complex engineering activities with an understanding of the limitations.

  PLO-6Project Management

Demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.


  • 16 years relevant qualification like BE / B-Tech (Hons.) / BS (4 years in relevant discipline) or any other equivalent qualification with at least 2.0 CGPA or equivalent.
  • Applicants with undergraduate degrees from non-relevant areas may be required to take some undergraduate courses to fulfill prerequisite deficiencies. The deficiency Cr. Hrs. will not be counted towards the minimum Cr. Hrs. requirement for the award of the MS degree.
  • MAJU Admission Test or HEC Approved Test + Interview.


Each candidate for the MS Electrical Engineering degree is required to successfully earn 30 credit hours as per the following detail:

AreaOption 1Option 2
Core Courses0606
Elective Courses2418
Research Thesis3030


A student can claim a specialization if he/she has completed 15 Cr. Hrs. including research work, if opted, from one of these specialization areas i.e. Power Electronics Systems, Robotics and Intelligent Control Systems, Signal and Image Processing, Sensors & Communications and Engineering Management. Otherwise, on the completion of 30 Cr. Hrs., he/she will be awarded the MS Degree without any specialization.


This is normally a two years program comprising 4 semesters. There will be a Fall and a Spring semester in each year. The maximum duration to complete MS in Electrical Engineering is 4 years.


  • A student must have a minimum 2.5 of 4.0 CGPA in the coursework to be eligible for an MS (EE) degree.
  • It must be noted that a student completing the degree requirements with a CGPA less than 3.0 will not be eligible for PhD admission.

Core Courses

Course TitleCodeCr. Hrs.
Probability and Stochastic ProcessesEE65023
Linear Systems Theory /td>


Specialization Areas

1. Power Electronics Systems

Course TitleCodeCr. Hrs.
Advanced Power ElectronicsEE62053
Electrical DrivesEE62103
Modeling and Control of Power Electronics SystemsEE72073
Soft Switching Power ConvertersEE72093
Applications of Power Electronics in Solar PV SystemsEE72113
Special Topics in Power ElectronicsEE72123
Advanced Power ElectronicsEE62053

2. Robotics and Intelligent Control Systems

Course TitleCodeCr. Hrs.
Adaptive and Self Tuning ControlEE78023
Nonlinear Control SystemsEE78033
Control System DesignEE68043
Advanced RoboticsEE78053
Machine VisionEE78133
Digital Control SystemsEE78063
Fuzzy Control SystemsEE78063
Intelligent SystemsEE78093

3. Signal and Image Processing

Course TitleCodeCr. Hrs.
Advanced Digital Signal ProcessingEE75083
Advanced Digital Image ProcessingEE75113
Adaptive Signal ProcessingEE75123
Advanced Computer VisionEE75133
Applied Machine LearningEE75143
Special Topics in Image ProcessingEE75093

4. Sensors & Communications

Course TitleCodeCr. Hrs.
Sensors Detection & Estimation TheoryEE79013
Stochastic Analysis and Estimation by SensorsEE79023
Advanced Communications IEE79033
Advanced Communications IIEE79043
Modeling & Simulation of Sensors & Communication SystemsEE79053
Special Topics in CommunicationsEE79063

5. Engineering Management

Course TitleCodeCr. Hrs.
Engineering Project ManagementEE69013
Business Process ManagementEE69023
Innovation and Technology ManagementEE69033
Organizational DevelopmentEE69043
Engineering Laws and Contract ManagementEE69063
Advanced Statistical Methods for Engineering ResearchEE69073

Research Project/Thesis

Course TitleCodeCr. Hrs.
Research Thesis IEE50123
Research Thesis IIEE61203

Deficiency Courses for B-Tech Graduates

Course TitleCodeCr. Hrs.
Linear Circuit Analysis-IEE11103
Signal & SystemsEE21303
Calculus & Linear AlgebraMT11203

Semester - 1

Course CodeCourse TitleLec. HrsLab. HrsCr. Hrs.
EEXXXXCore – I303
EEXXXXElective – I303
EEXXXXElective – II303

Semester - 2

Course CodeCourse TitleLec. HrsLab. HrsCr. Hrs.
EEXXXXCore – II303
EEXXXXElective – III303
EEXXXXElective – IV303

Semester - 3

Course CodeCourse TitleLec. HrsLab. HrsCr. Hrs.
EEXXXXElective V303
EEXXXXElective – VI/Thesis I303

Semester - 4

Course CodeCourse TitleLec. HrsLab. HrsCr. Hrs.
EEXXXXElective – VII/Elective VI303
EEXXXXElective – VIII/Thesis II303