MS Electrical Engineering

MS Electrical Engineering at Mohammad Ali Jinnah University is an advanced course that caters to the needs of electrical engineering graduates looking to enhance their skills in the field of high technology.

Keeping in mind the needs of the 21st century, the course offers a thorough exploration of electrical engineering in specialized fields, including Robotics & Intelligent systems, Engineering Project Management, Power & Energy Systems, and Signal & Image processing. To connect your learning to the real world, the curriculum entails multiple industry case studies and assignments. After completion of your MS Electrical Engineering degree, you will be able to effectively respond to modern challenges and shape future developments with modern solutions.

As this is a research-focused degree, the department has fully-equipped and state-of-the-art labs, libraries, and substantial other resources so that you can complete your research goals.

What opportunities might MS Electrical Engineering lead to?

As the curriculum offers a comprehensive and in-depth exploration of the electrical engineering field vis-a-vis rapidly-growing global challenges, the specialist knowledge you shall acquire can get you a job as

  • Electrical engineer
  • Electronics engineer
  • IT consultant
  • Power Electronics engineer
  • Power System Analyst
  • Communication Security Consultant
  • Control and instrumentation engineer
  • Intelligent System Designer

Why MS Electrical Engineering with us?

Our degree has been accredited by PEC and is aligned with Washington Accord. Our Department of Electrical & Computer Engineering is led by highly-qualified faculty. Furthermore, we have state-of-the-art and fully equipped labs to support your research efforts. Also, our curriculum links your learning here at Mohammad Ali Jinnah University  with the real world through industry-oriented assignments and case studies.

Program Educational Objectives (PEOs)

The MS (Electrical Engineering) program at Department of Electrical Engineering will fulfill the vision and mission of the University by providing students with necessary theoretical knowledge and practical skills required for handling engineering research problems enabling them to:

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

Program Learning Outcomes (PLOs)

   PLO-1 Engineering Knowledge

Apply advance knowledge of mathematics, science, and engineering for the solution of complex engineering problems.

  PLO-2 Problem Analysis:

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

  PLO-3 Design/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.

  PLO-4 Investigation

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

  PLO-5 Modern 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-6 Lifelong Learning

Pursue lifelong learning in broader context of innovation and technological developments.

Admission Requirement

  • A minimum of 16 years of education leading to BS/BE degree or equivalent in Electrical/ Electronics.
  • Computer/ Telecom Engineering (or related disciplines) with a minimum 2.00 out of 4.00 CGPA.
  • Admission Test / NTS GAT

Program Duration

  • 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 the degree requirements is 4 years

Degree Requirements

  • A student admitted to the MS (EE) program will have to complete the degree requirements by one of the following options listed below:
  Credit Hours
Area Option 1 Option 2
Core Courses 06 06
Specialization/Electives Courses 24 18
Research Thesis 00 06
Total 30 30
  • The student must have a minimum 2.5 or 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

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6502 Probability and Stochastic Processes 3
2. EE6104 Linear Systems Theory 3

List of Elective courses (total Cr. Hrs.)

Power and Energy Systems

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6205 Advanced Power Electronics 3
2. EE6207 Modeling and Control of Power Electronics Systems 3 Advanced Power Electronics
3. EE6209 Soft Switching Power Converters 3 Advanced Power Electronics
4. EE6210 Electrical Drives 3 Advanced Power Electronics
5. EE6211 Applications of Power Electronics in Solar PV Systems 3 Advanced Power Electronics
6. EE6212 Special Topics in Power Electronics 3 Advanced Power Electronics
7. EE5209 Power System Protection 3
8. EE5206 Modeling and Simulation of Power systems 3
9. EE6208 Advanced Electrical Power Transmission 3

Robotics and Intelligent Control Systems

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6802 Adaptive and Self Tuning Control 3
2. EE6803 Non-Linear Control Systems 3
3. EE6804 Control System Design 3
4. EE7805 Advanced Robotics 3
5. EE7513 Machine Vision 3
6. EE6806 Digital Control Systems 3
7. EE6806 Fuzzy Control Systems 3
8. EE7809 Intelligent Systems 3
9. EE5809 Industrial Automation and Control 3
10. EE5810 Embedded Automation Systems 3
11. EE7808 Special Topics in Intelligent Control Systems 3

Signal and Image Processing Elective

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6508 Advanced Digital Signal Processing 3
2. EE6511 Advanced Digital Image Processing 3
3. EE6512 Adaptive Signal Processing 3 Advanced Digital Signal Processing
4. EE6513 Advance Computer Vision 3
5. EE7514 Applied Machine Learning 3
6. EE6509 Special Topics in Image Processing 3
7. EE7515 Special Topics in Signal Processing 3 Instructor’s Approval

Sensors & Communications Electives

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE7901 Sensors Detection & Estimation Theory 3 Probability & Stochastic processes
2. EE7902 Stochastic Analysis and Estimation by Sensors 3 Detection & Estimation Theory
3. EE7903 Advanced Communications I 3
4. EE7904 Advanced Communications II 3 Advanced Communications I
5. EE7905 Modeling & Simulation of Sensors & Communication Systems 3 Advanced Communications I
6. EE7906 Special Topics in Communications 3

Engineering Management Electives

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6001 Engineering Project Management 3
2. EE6002 Business Process Management 3
3. EE6003 Innovation and Technology Management 3
4. EE6004 Organizational Development 3
5. EE6005 Entrepreneurship 3 Engineering Project Management
6. EE6006 Engineering Laws and Contract Management 3
7. EE6007 Advanced Statistical Methods for Engineering Research 3

General Electives

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE5007 Seminars in Electrical Engineering 3 Instructor’s approval
2. EE6008 Special Topics in Electrical Engineering 3 Instructor’s approval
3. EE5105 Modeling and Simulation of Engineering Systems 3 Instructor’s approval

Eligibility Criteria

  • 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.

Specialization Requirements

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 and Energy 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.

Semester-wise Plan of Study

Semester - 1

Course Code Course Title Theory Contact Hours Practical Contact Hours Credit Hours
EE XXXX Core – I 3 0 3
EE XXXX Elective – I 3 0 3
EE XXXX Elective – II 3 0 3

Semester - 2

Course Code Course Title Theory Contact Hours Practical Contact Hours Credit Hours
EE XXXX Core – II 3 0 3
EE XXXX Elective – III 3 0 3
EE XXXX Elective – IV 3 0 3

Semester - 3

Course Code Course Title Theory Contact Hours Practical Contact Hours Credit Hours
EE XXXX Elective – V 3 0 3
EE XXXX Elective – VI/Thesis I 3 0 3

Semester - 4

Course Code Course Title Theory Contact Hours Practical Contact Hours Credit Hours
EE XXXX Elective – VII 3 0 3
EE XXXX Elective – VIII/Thesis II 3 0 3