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
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
| 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 OBJECTIVES (PLOs)
| PLO-1 | Engineering Knowledge | apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems. |
| PLO-2 | Problem Analysis | Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions 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 | Modren 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 | Project 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. |
ADMISSION REQUIREMENTS
- 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.
DEGREE REQUIREMENTS
Each candidate for the MS Electrical Engineering degree is required to successfully earn 30 credit hours as per the following detail:
| Area | Option 1 | Option 2 |
|---|---|---|
| Core Courses | 06 | 06 |
| Elective Courses | 24 | 18 |
| Research Thesis | 30 | 30 |
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 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.
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 MS in Electrical Engineering is 4 years.
CGPA REQUIREMENT
- 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 Title | Code | Cr. Hrs. |
|---|---|---|
| Probability and Stochastic Processes | EE6502 | 3 |
| Linear Systems Theory /td> | EE6104 | 3 |
Specialization Areas
1. Power Electronics Systems
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Advanced Power Electronics | EE6205 | 3 |
| Electrical Drives | EE6210 | 3 |
| Modeling and Control of Power Electronics Systems | EE7207 | 3 |
| Soft Switching Power Converters | EE7209 | 3 |
| Applications of Power Electronics in Solar PV Systems | EE7211 | 3 |
| Special Topics in Power Electronics | EE7212 | 3 |
| Advanced Power Electronics | EE6205 | 3 |
2. Robotics and Intelligent Control Systems
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Adaptive and Self Tuning Control | EE7802 | 3 |
| Nonlinear Control Systems | EE7803 | 3 |
| Control System Design | EE6804 | 3 |
| Advanced Robotics | EE7805 | 3 |
| Machine Vision | EE7813 | 3 |
| Digital Control Systems | EE7806 | 3 |
| Fuzzy Control Systems | EE7806 | 3 |
| Intelligent Systems | EE7809 | 3 |
3. Signal and Image Processing
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Advanced Digital Signal Processing | EE7508 | 3 |
| Advanced Digital Image Processing | EE7511 | 3 |
| Adaptive Signal Processing | EE7512 | 3 |
| Advanced Computer Vision | EE7513 | 3 |
| Applied Machine Learning | EE7514 | 3 |
| Special Topics in Image Processing | EE7509 | 3 |
4. Sensors & Communications
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Sensors Detection & Estimation Theory | EE7901 | 3 |
| Stochastic Analysis and Estimation by Sensors | EE7902 | 3 |
| Advanced Communications I | EE7903 | 3 |
| Advanced Communications II | EE7904 | 3 |
| Modeling & Simulation of Sensors & Communication Systems | EE7905 | 3 |
| Special Topics in Communications | EE7906 | 3 |
5. Engineering Management
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Engineering Project Management | EE6901 | 3 |
| Business Process Management | EE6902 | 3 |
| Innovation and Technology Management | EE6903 | 3 |
| Organizational Development | EE6904 | 3 |
| Entrepreneurship | EE6905 | 3 |
| Engineering Laws and Contract Management | EE6906 | 3 |
| Advanced Statistical Methods for Engineering Research | EE6907 | 3 |
Research Project/Thesis
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Research Thesis I | EE5012 | 3 |
| Research Thesis II | EE6120 | 3 |
Deficiency Courses for B-Tech Graduates
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Linear Circuit Analysis-I | EE1110 | 3 |
| Signal & Systems | EE2130 | 3 |
| Calculus & Linear Algebra | MT1120 | 3 |
Semester - 1
| Course Code | Course Title | Lec. Hrs | Lab. Hrs | Cr. Hrs. | |
| 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 | Lec. Hrs | Lab. Hrs | Cr. Hrs. | |
| 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 | Lec. Hrs | Lab. Hrs | Cr. Hrs. | |
| EE | XXXX | Elective V | 3 | 0 | 3 |
| EE | XXXX | Elective – VI/Thesis I | 3 | 0 | 3 |
Semester - 4
| Course Code | Course Title | Lec. Hrs | Lab. Hrs | Cr. Hrs. | |
| EE | XXXX | Elective – VII/Elective VI | 3 | 0 | 3 |
| EE | XXXX | Elective – VIII/Thesis II | 3 | 0 | 3 |