- + Introduction
With the current power crisis and emergence of new power generation projects, the number and areas of employment for candidates with Master degree in electrical engineering has been rising in Pakistan. In addition to the traditional big organizations hiring postgraduates in electrical engineering many industries are coming up with their own power generation setups requiring electrical engineers to design, implement and maintain their power plants. Moreover, government has taken many initiatives for power generation using alternate sources like wind, coal and solar energy. Is short, requirement of highly qualified electrical engineers is on increase and our MS program will try to fill the gap between the demand and supply of electrical engineers.
Program Education Objective
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:
- be leaders in industry or academia due to their competency in identifying, formulating and solving complex engineering problems.
- 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 Outcome
Graduates of the program are expected to have an ability to
- Engineering Knowledge: apply advance knowledge of mathematics, science, and engineering for the solution of complex engineering problems.
- Problem Analysis: identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusion using first principles of mathematics, natural sciences and engineering sciences.
- 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.
- Investigation: investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments.
- 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.
- Lifelong Learning: recognize importance of, and pursue lifelong learning in broader context of innovation and technological developments.
- A minimum of 16 years of education leading to BS/BE degree or equivalent in Electrical/ Electronic/ Computer/ Telecom Engineering (or related disciplines) with a minimum 2.00 of 4.00 CGPA.
- Admission Test / NTS GAT
- This is normally a two years’ program comprising of 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.
A student admitted to the MS (EE) program will have to complete the degree requirements by following one of the options listed below
Specialization / Elective Courses
Cr Hrs. (Option 1)
Cr Hrs. (Option 2)
- The student must have a minimum 2.5 of 4.0 CGPA in the coursework to be eligible for 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.
- + Program Summary
- Minimum 2 Years
- Maximum 4 Years
- 16 years relevant qualification like BE / B-Tech (Hons.) / BS (4 years in relevant discipline) or any other equivalent qualification
- Atleast 2.0 CGPA or equivalent + NTS / MAJU Test + Interview
- Minimum CGPA of 2.5 out of 4.0
- MA student admitted to the MS(EE) Program will have to complete the degree requirements by the following one of the option listed below
Area Option 1
Core Courses 06 06 Specialization / Elective Courses 24 18 Specialization / Elective Courses 00 06 Total 30 30
- It must be noted that a student completing the degree requirements with CGPA less than 3.0 will not be eligible for PhD admission
- + Electives
Power Electronics Electives
Course Code Course Title Credit Hours Pre-Requisite EE6205 Advanced Power Electronics 3 Linear Circuit Analysis EE6207 Modeling and Control of Power Electronics Systems 3 Linear Circuit Analysis EE6209 Soft Switching Power Converters 3 Linear Circuit Analysis EE6210 Electrical Drives 3 Linear Circuit Analysis EE6211 Applications of Power Electronics in Solar PV Systems 3 Linear Circuit Analysis EE6212 Special Topics in Power Electronics 3 Linear Circuit Analysis EE5106 Modeling and Simulation in Power Systems 3 Linear Circuit Analysis
Course Code Course Title Credit Hours Pre-Requisite EE6802 Adaptive and Self Tuning Control 3 - EE6803 Non-Linear Control Systems 3 - EE6804 Control System Design 3 - EE6805 Robust Control Systems 3 - EE6806 Digital Control Systems 3 - EE6806 Fuzzy Control Systems 3 - EE6807 Modeling and Simulation of Dynamic Systems 3 - EE6809 Applied Artificial Intelligence 3 -
Signal Processing Electives
Course Code Course Title Credit Hours Pre-Requisite EE6508 Advanced Digital Signal Processing 3 - EE6511 Advanced Digital Image Processing 3 - EE6512 Adaptive Signal Processing 3 Advanced Digital Signal Processing EE6513 Computer Vision 3 - EE6514 Pattern Recognition 3 - EE6509 Special Topics in Image Processing 3 -
Course Code Course Title Credit Hours Pre-Requisite EE5007 Seminars in Electrical Engineering 3 Instructor’s approval EE6008 Special Topics in Electrical Engineering 3 Instructor’s approval EE5105 Modeling and Simulation of Engineering Systems 3 Instructor’s approval
- + Plan Of Study
Semester - I
Course Code Course Title Credit Hours Pre-Requisite EEXXXX Core - I 3 - EEXXXX Elective - I 3 - EEXXXX Elective - II 3 - Total Semester Credit Hours 9
Semester - II
Course Code Course Title Credit Hours Pre-Requisite EEXXXX Core - II 3 - EEXXXX Elective - III 3 - EEXXXX Elective - IV 3 - Total Semester Credit Hours 9
Semester - III
Course Code Course Title Credit Hours Pre-Requisite EEXXXX Elective - V 3 - EEXXXX Elective - VI / Thesis I 3 - Total Semester Credit Hours 6
Semester - IV
Course Code Course Title Credit Hours Pre-Requisite EEXXXX Elective - VII / Elective VI 3 - EEXXXX Elective - VIII / Thesis II 3 - Total Semester Credit Hours 6
Program Total Credit Hours: 30