1-Short Introduction of Degree Program

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 and Energy 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.

2-Career choices after Degree

Jobs directly related to your degree include:

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

The major employers of MS Electrical Engineering Graduates are: K-Electric, SUPARCO, Mobile phone service providers, Electronics manufacturing companies, KRL, Pakistan Navy, PIA, NADRA, Air Force, Railway, Atomic Energy Commission, Software Developer Companies, Banks and various organizations.

3-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:
    1. Be leaders in industry or academia due to their competency in identifying, formulating and solving complex engineering problems.
    2. Exhibit quest for learning and initiative by continuously broadening their abilities and enhancing their technical skills to maintain their relevance with technological change

4-Program Learning Outcomes (PLOs)

Graduates of the program are expected to have an ability to

  1. Engineering Knowledge: apply advance knowledge of mathematics, science, and engineering for the solution of complex engineering problems.
  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.
  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.
  4. Investigation: investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments.
  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.
  6. Lifelong Learning: pursue lifelong learning in broader context of innovation and technological developments.

5-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

6-Selection Criteria

  • NTS / MAJU Test + Interview
  • Admission Test / NTS GAT (General) – The admission test is exempted for those candidates who cleared NTS GAT with more than 60% marks.

7-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.

8-Semester-wise Plan of Study

Semester I

Course Code Course Title   Theory Contact Hours  Practical Contact Hours  Credit Hours
EEXXXX Core – I   3  0 3
EEXXXX Elective – I   3 0 3
EEXXXX Elective – II   3 0 3
Total   9 0 9

Semester II

Course Code Course Title   Theory Contact Hours  Practical Contact Hours  Credit Hours
EEXXXX Core – II   3  0 3
EEXXXX Elective – III   3 0 3
EEXXXX Elective – IV   3 0 3
Total   9 0 9

Semester III

Course Code Course Title   Theory Contact Hours  Practical Contact Hours  Credit Hours
EEXXXX Elective – V   3 0 3
EEXXXX Elective – VI/Thesis I   3 0 3
Total 6 0 6

Semester IV

Course Code Course Title   Theory Contact Hours  Practical Contact Hours  Credit Hours
EEXXXX Elective – VII   3 0 3
EEXXXX Elective – VIII/Thesis II   3 0 3
Total 6 0 6

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

9-List of Electives Courses

_ Power and Energy Systems

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE6205 Advanced Power Electronics 3
2. EE6210 Electrical Drives 3 Advanced Power Electronics
3. EE7207 Modeling and Control of Power Electronics Systems 3 Advanced Power Electronics
4. EE7209 Soft Switching Power Converters 3 Advanced Power Electronics
5. EE721 Applications of Power Electronics in Solar PV Systems 3 Advanced Power Electronics
6. EE7212 Special Topics in Power Electronics 3 Advanced Power Electronics
7. EE510 Modeling and Simulation of Power systems 3
8. EE5109 Power System Protection 3
9. EE6208 Advanced Electrical Power Transmission

Robotics and Intelligent Control Systems

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE7802 Adaptive and Self Tuning Control 3
2. EE7803 Non-Linear Control Systems 3
3. EE6804 Control System Design 3
4. EE7805 Advanced Robotics 3
5. EE7513 Machine Vision 3
6. EE7806 Digital Control Systems 3
7. EE7806 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 Electives

S. No. Course Code Course Title Credit Hours Pre-requisite
1. EE7508 Advanced Digital Signal Processing 3
2. EE7511 Advanced Digital Image Processing 3
3. EE7512 Adaptive Signal Processing 3 Advanced Digital Signal Processing
4. EE7513 Advanced Computer Vision 3
5. EE7514 Applied Machine Learning 3
6. EE7509 Special Topics in Image Processing 3
7. EE7515 Special Topics in Image 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