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MS Electrical Engineering

About MSEE

The 30 credit hours MS EE program is intended for students who wish to pursue higher education for working in industry or academia to engineer effective solutions for the problems faced by the 21st century world. During the master’s degree the students will have the opportunity to work under the direction of doctoral scientists and engineers in high-tech lab settings, assisting in developing innovative projects through on-going collaborations within and beyond the department.

Objectives

Program Educational Objectives (PEOs)

  1. To apply theoretical, practical knowledge and provide innovative solutions of complex engineering problems in electrical engineering and allied domains.
  2. To demonstrate satisfactory interpersonal skills as an individual and in a team with the help of effective oral and written communication.
  3. To pursue continual professional development, lifelong learning and sustainable growth of society.

Learning Outcomes

The MS EE program prepares students to attain the educational objectives by ensuring that the student should be:

  1. Able to understand theoretical and practical knowledge in electrical engineering and allied domains.
  2. Able to do research and provide innovative solutions of complex engineering problems using state-of-the-art methodologies.
  3. Able to demonstrate interpersonal skills with the help of effective oral and written communication.

Eligibility Criteria

Admission Criteria

  • Bachelor’s degree (4 years – 120 credit hours), must be accredited by PEC/HEC (as applicable), in any of the relevant disciplines mentioned below: -
  1. Electrical Engineering
  2. Electronics Engineering
  3. Telecommunication Engineering
  4. Mechatronics Engineering
  5. Electronics / Industrial Electronics
  6. Computer /Computer Systems Engineering
  7. Software Engineering
  8. Avionics
  9. Biomedical Engineering
  10. BET (Electrical, Electronics, Computer, Mechatronics)

Or any other relevant discipline, duly recommended by the Admission Committee, subject to the completion of deficient courses (if any) as prescribed.

  • Applicants should have a minimum CGPA of 2.0 (on a scale of 4.0) or 50% marks where CGPA is not given.
  • 50% passing marks required in either university-conducted entry test or in HAT/GRE/GAT or Equivalent tests.
  • In case of interdisciplinary admission HEC policy would be taken into consideration. The admission committee will decide if the applicant has satisfactory knowledge to undertake the studies and, if allowed, the candidate will have to take the 6-9 credit hours of deficiency courses of level 6. 

Thesis

A student has the option to pursue MS by undertaking a 6-credit hour MS Thesis. Registration in “MS Thesis” is allowed provided the student has:

  • Earned at least 18 credits.
  • Passed the “Research Methodology” course.
  • CGPA (Cumulative Grade Point Average) is equal to or more than 3

Duration

The minimum duration for completion of MS EE degree is 1.5 years and maximum duration is 4 years.

Degree Completion Requirements

To become eligible for award of MS EE degree, a student must satisfy the following requirements:

  1. Passed the “Research Methodology” course.
  2. Must have completed and passed 24 credit hours of coursework (including core courses) along with 6 credit hours of thesis or 30 credit hours of coursework (including core courses).  
  3. Must have earned a CGPA of at least 3 on a scale of 4.0.

Curriculum

Study Scheme:

The proposed study Scheme for MS EE program at NUTECH is given below.

Semester I Courses

Cr Hrs

Core Course-I

3

Core Course-II

3

Research Methodology (1 contact hour - noncredit)

-

Elective-I

3

Total

9

 

 

Semester II Courses

Cr Hrs

Core Course-III

3

Elective-II

3

Elective-III

3

Elective-IV

3

Total

12

 

Semester III Courses

Cr Hrs

Elective-V

3

Thesis

6

Total

 9

 

List of Core Courses:

S. No.

Course Title

Cr. Hrs.

1

Optimization Methods

3

2

Stochastic Processes

3

3

Adaptive Signal Processing

3

4

Research Methodology

-

 

List of Elective Courses:

1. Specialization in Electric Vehicle Systems

S. No.

Course Title

Credit Hours

  1.  

Advanced Power Electronics

3

  1.  

Energy Storage and Battery Technology

3

  1.  

Control and Management of Electric Vehicles

3

  1.  

Vehicle Safety and Regulations

3

  1.  

Autonomous Systems

3

  1.  

Sensors and Actuators of EV

3

  1.  

Electric Motor Drives

3

  1.  

Electric Vehicle Design and Integration

3

  1.  

Wireless Power Transfer for Sustainable Mobility

3

  1.  

Advanced Control Systems

3

  1.  

Power System Transients

3

  1.  

Modelling and Simulation of Power System Components

3

  1.  

Advanced Power System Protection

3

  1.  

Energy Management

3

  1.  

Condition Monitoring Techniques

3

  1.  

Maintenance and Troubleshooting of Electrical Machines

3

  1.  

Control of Electric Machine Drives

3

  1.  

Special Topics on EV Systems

3

 

2. Specialization in System on Chip

S. No.

Course Title

Credit Hours

  1.  

Integrated Circuit Design

3

  1.  

Advanced Microprocessor Architecture

3

  1.  

VLSI Design

3

  1.  

FPGA and ASIC Design

3

  1.  

SoC System Architecture

3

  1.  

Radiating Systems and Antennas

3

  1.  

Parallel Computing

3

  1.  

Data Mining Concepts and Algorithms

3

  1.  

Embedded Systems Design

3

  1.  

Electronic Design Automation

3

  1.  

Digital Signal Processing Using FPGA

3

  1.  

Advanced FPGA-Based Design

3

  1.  

Control System with Embedded Implementation

3

  1.  

HDL and High Level Synthesize

3

  1.  

Special Topics on System on Chip

3

 

3. Specialization in Next Generation Communication Networks

S. No.

Course Title

Credit Hours

  1.  

Advanced Wireless Communication

3

  1.  

Internet of Things (IoT) Communication

3

  1.  

Cloud and Edge Computing

3

  1.  

5G and beyond

3

  1.  

Network Security and Cybersecurity

3

  1.  

Machine Learning and AI in Communication

3

  1.  

Advanced Optical Communication

3

  1.  

Game Theory

3

  1.  

Queuing Theory

3

  1.  

Information and Coding Theory

3

  1.  

Advanced Antenna Theory

3

  1.  

P2P and Blockchain Technology

3

  1.  

Satellite Positioning

3

  1.  

Data Mining Concepts and Algorithms

3

  1.  

Advanced Computer Networks

3

  1.  

Statistical Signal Processing

3

  1.  

Analysis and Design of Microwave Linear Circuits

3

  1.  

Special Topics on Communication Networks

3

 

4. Specialization in Robotics and Intelligent Control Systems

S. No.

Course Title

Credit Hours

  1.  

Adaptive and Self Tuning Control

3

  1.  

Nonlinear Control Systems

3

  1.  

Control System Design

3

  1.  

Advanced Robotics

3

  1.  

Machine Vision

3

  1.  

Digital Control Systems

3

  1.  

Fuzzy Control Systems

3

  1.  

Intelligent Systems

3

  1.  

Industrial Automation and Control

3

  1.  

Filtering & tracking

3

  1.  

Pattern Recognition

3

  1.  

Artificial Intelligence and Neural Network

3

  1.  

Advanced Internet of Things

3

  1.  

Robot Mechanics and Control

3

  1.  

Advanced Logic Design

3

  1.  

Unmanned Aircraft Systems

3

  1.  

Rehabilitation and Assistive Robotics

3

  1.  

Medical Devices and Robotics

3

  1.  

Multi Agent Systems

3

  1.  

Probabilistic Robotics

3

  1.  

Sensors and Actuators

3

  1.  

Human Robot Interaction

3

  1.  

Reinforcement Learning

3

  1.  

Special Topics in Intelligent Control Systems

3

 

5. Specialization in AI and Autonomous Systems

S. No.

Course Title

Credit Hours

  1.  

Artificial Intelligence in Autonomous Systems

3

  1.  

Robotics and Autonomous Systems

3

  1.  

Machine Learning

3

  1.  

Computer Vision

3

  1.  

Deep Learning

3

  1.  

Reinforcement Learning

3

  1.  

Embedded Systems

3

  1.  

Autonomous Mobile Robots

3

  1.  

Human-Robot Interaction

3

  1.  

Ethics and Safety in AI

3

  1.  

AI for Cyber Security

3

  1.  

AI in Smart Grids and Energy Systems

3

  1.  

Medical image processing

3

  1.  

Big Data Analytics

3

  1.  

Data mining

3

  1.  

Special Topics in AI and Autonomous Systems

3

 

6. Specialization in Power & Green Energy Systems

 

S. No.

Course Title

Credit Hours

  1.  

Renewable Energy Technologies

3

2.

Computer-Aided Design of Electric Machines

3

  1.  

Elements of Sustainable Energy

3

  1.  

Next Generation Smart Grid

3

  1.  

Batteries

3

  1.  

Fuel Cells

3

  1.  

Zero Emission Vehicle Systems

3

  1.  

Power Electronics

3

  1.  

Energy Management and Conservation

3

  1.  

Electric Power Generation and Distribution

3

  1.  

Control Systems Design

3

  1.  

Advanced Power System Operation and Control

3

  1.  

Energy Technologies

3

  1.  

Computer Applications in Energy Systems

3

  1.  

Special topics in Green Energy Systems

3

 

Funding Opportunities

There are various funded projects ongoing in the Electrical Engineering Department (funded by various organizations such as HEC, MoST, PSF etc) and MS students will have an opportunity to be a part of such projects as Research Assistants or paid interns.