MS Electrical Engineering

Objectives

• To provide an advanced understanding of modern electrical power systems.

• To provide an advanced understanding of electronic materials design and operation of electronic devices, circuits and systems.

• To provide an in-depth understanding of the mathematical concepts underlying the design, analysis and operation of modern electronic, power and communication systems.

• To understand and resolve the power systems issue using smart grids, renewable energy resources and other modern available techniques.

• To impart quality education at par with international standards.

• To be commensurate with the need of the industry by providing professionals who are able to engage in the latest (theoretical and practical) R &D.

Role and Scope

The Master’s program aims to provide an avenue of higher learning to fresh graduating engineers and also to engineers already working in the field and industry. Moreover, it will incorporate the latest developments and research and contribute towards improving the quality of engineering teaching and instruction. The School of Electrical Engineering at TUF already has a well-established Bachelor’s program that has been producing quality engineering graduates since 2006. Currently the school has faculty members holding Doctorates and Masters Degrees from well-reputed universities. These faculty members possess extensive field, research and teaching experience. The faculty members are active in research work and have numerous publications in refereed research journals with impact factors. They also participate and present papers in national and international conferences, thereby keep abreast of the latest research work and also keeping in touch with the national and international research community. The Department has a number of well-equipped laboratories to support experimental work relating to Master’s projects. Various advanced software programs can be utilized by graduate students to carry out simulations, design-work and mathematical-modeling. The University has an excellent library that houses a very large number of Electrical Engineering books, both in paper and soft (digital) form. The library also has access to the HEC digital library. The School will also facilitate research work by providing graduate with access to IEEE explore and other prestigious research journals.

semesters and courses

  • Duration

    4 Semesters (2 years)

  • Eligibility

    Following is the eligibility criteria for admission in MS in Electrical Engineering program adopted by TUF. i. Four years of education (minimum 130 credit hours) after HSSC/A Level/Grade-12 or Sixteen years of schooling will be required for admission. ii. A candidate can be enrolled in MSEE program with Bachelors in Electrical Engineering with a minimum CGPA of 2.0 out of 4.0 or 50% marks. iii. Should have passed Graduate Assessment Test (GAT) organized by National Testing Service (NTS) / Entry test organized by university.

  • credit hours
    required

    31

  • Fee Rs

    399,799

 

Semester 1

Course Code Course Title Credit Hours
SS-500 Research Methodology(Core-I) 1
EE-513 Advanced Control System(Core-II) 3
EE-507 Advanced Power Electronics (Core-III) 3
EE-515 Advanced Digital Signal Processing(Elective – I) 3
EE-624 Advanced Renewable Energy 3
  Credit Hours : 13
 
 

Semester 2

# Course Title Credit Hours
1 Core-IV 3
2 Elective – II 3
3 Elective – III

3

4 Elective – IV

3

  Credit Hours : 12
 
 

Semester 3

Course Code Course Title Credit Hours
EE-690 Thesis-I 3
  Credit Hours : 3
 
 

Semester 4

Course Code Course Title Credit Hours
EE-690 Thesis-II 3
  Credit Hours : 3
 
 

MSEE List of Courses

Course Code Course Title Credit Hours
EE-501 Mobile & Wireless Communications (Elective) 3
EE-502 Antenna Theory & Design (Elective) 3
EE-503 Advanced Solid State Material & Devices(Elective) 3
EE-504 Advanced Optical Communication (Elective) 3
EE-505 Advanced Electromagnetic Theory (Elective) 3
EE-506 Advanced Digital Communication (Elective) 3
EE-507 Advanced Power Electronics (Core) 3
EE-508 Electronics Design Automation (Elective) 3
EE-509 Analog Integrated Circuits (Elective) 3
EE-510 RF Electronics (Elective) 3
EE-511 Advanced Techniques of Engineering Analysis & Design (Core) 3
EE-512 HDL for Programmable Logic (Elective) 3
EE-513 Advanced Control System (Core) 3
EE-514 Wireless Sensor Networks (Elective) 3
EE-515 Advanced Digital Signal Processing (Core) 3
EE-516 Stochastic Processes (Core) 3
EE-517 Advanced Digital Image Processing (Elective) 3
EE-518 Advanced Wireless Communications (Elective) 3
EE-519 Computer Networks & Distributed Systems (Elective) 3
EE-520 Advanced Electrical Machines (Core) 3
EE-521 Power System Analysis (Elective) 3
EE-522 Power Generation & Transmission (Elective) 3
EE-523 Power Distribution(Elective) 3
EE-524 Energy Resources & Technology (Elective) 3
EE-525 Power System Protection (Elective) 3
EE-526 Power System Transients (Elective) 3
EE-527 High Voltage Engineering (Core) 3
EE-528 Electrical Drives (AC/DC) (Core) 3
EE-529 Power Conversion (Elective) 3
EE-531 Linear Control System (Elective) 3
EE-532 Machine Learning (Elective) 3
EE-601 Mathematical Methods for Engineering Analysis & Design I (Core) 3
EE-602 Mathematical Methods for Engineering Analysis & Design II (Elective) 3
EE-603 Mathematical Methods for Engineering Analysis & Design III (Elective) 3
EE-604 Advanced Engineering Electromagnetics I (Elective) 3
EE-605 Advanced Engineering Electromagnetics II (Elective) 3
EE-606 Computational Electromagnetics (Elective) 3
EE-607 Wave Scattering: Theory & Applications (Elective) 3
EE-608 Electrodynamics(Elective) 3
EE-609 The Method of Moments (Elective) 3
EE-611 Passive Microwave Circuits(Elective) 3
EE-612 Active Microwave Devices & Circuits (Elective) 3
EE-613 Free Space Optics (Elective) 3
EE-614 Biomedical Applications of Electromagnetics (Elective) 3
EE-615 Advanced VLSI Design Techniques (Core) 3
EE-616 Advanced Digital System Design (Elective) 3
EE-617 Micro Fabrication Processes (Elective) 3
EE-618 Adaptive Filter Theory (Elective) 3
EE-619 Intelligent Measurements & Instrumentation (Elective) 3
EE-620 Advanced Microprocessors & Interfacing Techniques (Elective) 3
EE-621 Satellite Communication (Elective) 3
EE-622 Sensors & Systems(Elective) 3
EE-623 Smart Grids (Elective) 3
EE-624 Advanced Renewable Energy (Core) 3
EE-625 Internet of Things & Cloud Computing (Elective) 3
CS-721 Advanced Computational Theory (Elective) 3
SS-500 Research Methodology (Core 3