The following postgraduate programs are being offered in Electrical and Computer Engineering Department:

1. Master of Science in Electrical Engineering (MSEE)

2. Doctor of Philosophy in Electrical Engineering (PhD EE)

The Department of Electrical and Computer Engineering has the pride of winning multiple grants from HEC and ICT R&D in multiple areas for development of research labs. They include

1. MEMS (Microelectromechanical Systems)

2. Cyber-security

3. Robotics

4. 5G Test bed development

These research labs will enable our students to perform high level research in cutting edge technologies. Our post graduate programs have been geared to maximize the utilization of these labs by offering courses around the research themes being followed in these labs.

Our students will benefit in learning state of the art technologies from faculty members renowned for their research in these areas specifically.

MS & PHD Programs in Electrical Engineering

We offer MS Programs in Electrical Engineering with strong foundation in theory to equip students with the skills necessary to grasp and develop new technologies and trends in the electrical engineering and allied fields. The Electrical Engineering Program at SS CASE IT is tailored to the specific needs of modern industry and R&D organizations. It encompasses areas that are in line with hi-tech industry requirements in the field. The program equips technical managers with the knowledge to remain competitive in this area. The curriculum has been designed with the aim of providing breadth and depth of knowledge in key areas that evolve with societal needs. Our faculty is also actively engaged in research and has won grants from HEC and Ignite National Technology Fund worth PKR 180 million in the areas of Robotics, Cyber Security, Chip Design, 5G Communication Technologies, and Intelligent Systems.

Focus Research Areas

The Department of Electrical and Computer Engineering is offering MS in Electrical Engineering in the following research areas:

1. Communication Systems and Networks

2. Electrical Power and Energy Engineering

3. Robotics and Control Systems

4. Computer Networks and Cyber Security

5. Digital Design and Embedded Systems

6. Intelligent Systems

Eligibility Criteria

MS in Electrical Engineering	Qualification	BE/BSc/BS Engineering in relevant discipline recognized by HEC and registered with PEC or 16 years of education in relevant discipline recognized by HEC.
	CGPA / % Percentage	Minimum CGPA 2.00/4.00 or 60% Marks.
	Admission Test	As per prevalent HEC/Institute policy.
PhD in Electrical Engineering	Qualification	MS/MSc/MPhil degree in the relevant discipline (Total 18 years of formal education) recognized by HEC.
	CGPA / % Percentage	Minimum CGPA 3.00/4.00 or 70% Marks.
	Admission Test	As per prevalent HEC/Institute policy

Duration

MS EE Program:
Minimum duration for completion of MSEE degree is 1.5 years or 3 regular semesters and a maximum of 3.5 years with a maximum of 6 months extension.
PHD EE Program:
Minimum duration for completion of PhD EE degree is 3 years or 3 regular semesters and a maximum of 6 years with two - 1 year extensions.

MS Degree Requirements

The student has to take three core courses from the following list of five courses:

Sr. No.	Course Code	Core Subjects
1	EE6510	Advanced Computer Networks
2	EE6410	Real Time Embedded Systems
3	EE6501	Wireless Communications
4	EE6610	Power System Steady State Analysis
5	EE6201	Linear Control Systems

In addition, each MS student has to select one area of specialization for which at least three courses (9 CH) of the chosen specialization need to be passed.

In general, a student has to complete a minimum of 30 credit hours’ worth of courses (for non-thesis) and 24 credit hours’ worth of courses and 6 credit hours of thesis work (for thesis option).

A student has to attain a minimum CGPA of 2.5 to earn the degree.

1. The students need to take:

   1. 8 courses and a Research Thesis (Thesis Option)

   2. 10 courses (Non-thesis option)

2. All courses carry 3 credit hours and the Research Thesis carries 6 credit hours.

3. The general structure of the MS Electrical Engineering program with thesis option is as following:

   Core option 1	3 CH
   Core option 2	3 CH
   Core option 3	3 CH
   Research Methodology	3 CH
   A Mathematics Elective	3 CH
   Two courses from Program Electives	6 CH
   One University Elective	3 CH

4. The general structure of the MS Electrical Engineering program with non-thesis option is as following:

   Core option 1	3 CH
   Core option 2	3 CH
   Core option 3	3 CH
   A Mathematics Elective	3 CH
   Four courses from Program Electives	12 CH
   Two University Electives	6 CH

PHD Degree Requirements

PhD Degree Requirements PhD in Electrical Engineering requires the student to pass a minimum of 6 courses in any of the specializations within the department in a minimum CGPA of 3.0. In addition to courses the student is required to take a research thesis worth of at least 30 credit hours. Student is also required to publish at least one paper from the research in an HEC recognized journal.

The student will take courses of 8000 level from the lists given below as advised by the PhD supervisor in consultation with the Research Management Committee.

Courses Offered in Electrical Engineering

Computer Networks and Cyber Security

• EE6510  Advanced Computer Networks

• EE6511  Cryptography and Network Security

• EE6522  Computer and Network Forensics

• EE6514  IoT Network Architecture and Protocols

• EE6516  Network Routing and Switching

• EE6517  Electronic Warfare – Principles and Techniques

• EE6519  Computer Security

• EE6520  Network and System Programming

• EE6521  Advanced Operating System

• EE8511  Advanced Network Security

• EE8512  Cloud Computing & Security

• EE8521  Simulation, Modeling, and Performance Analysis of Computer Networks

• EE8522  Software Defined Networks (SDN)

• EE8513  Intrusion Detection and Prevention

• EE8514  Vulnerability Exploitation and Defense

• EE8515  Cellular and Mobile Networks Security

• EE8516  Malware Analysis and Reverse Engineering

• EE8517 Advanced Cryptography

• EE8518 Selected Topics in Computer Networks

• EE8519 Selected Topics in Cyber Security

• EE8520 Selected Topics in Information Security Management

• EE8909  MS Research Thesis

• EE8999  PhD Thesis

Digital Design and Embedded Systems

• EE6410 Real Time Embedded Systems

• EE6411 Reconfigurable Computing

• EE6412 Advanced Operating Systems

• EE6415 Advanced Computer Architecture

• EE6509  Ad-hoc & Sensor Networks

• EE8208 Statistical Signal Processing

• EE8410 Fault-Tolerant Digital Design

• EE8411 Parallel and Distributed Computing

• EE8412 Computer Aided Design Algorithms for ASICs and FPGAs

• EE8413 System on Chip Architecture

• EE8414 Computer Arithmetic

• EE8415 Alternative Computing Technologies

• EE8416 Digital Integrated Circuits

• EE8417 Advanced VLSI Design

• EE8418 Advanced Digital Design

• EE8419 MEMs Design and Micromachining

• EE8432 Machine Learning

• EE8420 Advanced Topics in Computer Engineering

• EE8909 MS Research Thesis

• EE8999  PhD Thesis

Communication Systems and Networks

• EE6501  Wireless Communications

• EE6511 Cellular Communication Systems

• EE6512 Optical Communication Systems

• EE6513 IoT Communication Devices and Protocols

• EE6514 Satellite Communication and Navigation Systems

• EE6515 Radar System Engineering

• EE6516 Cryptography and Secure Communications

• EE6521  Advanced Computer Networks

• EE6522  Adhoc & Sensor Networks

• EE6531  RF and Microwave Engineering

• EE6205 Advanced Digital Signal Processing

• EE8208 Statistical Signal Processing

• EE8501  Advanced Wireless Communications

• EE8502  Information & Coding Theory

• EE8511  Software Defined Radios (SDR)

• EE8512  Technology Analysis of a Smartphone

• EE8521  Simulation, Modeling, and Performance Analysis of Computer Networks

• EE8522  Software Defined Networks (SDN)

• EE8531 Antenna Design and Applications

• EE8541  Advanced Digital Signal Processing

• EE8519  Special Topics in Communications (Contemporary Buzzwords)

• EE8529  Special Topics in Networking (Contemporary Buzzwords)

• EE8909  MS Research Thesis

• EE8999  PhD Thesis

Electrical Power and Energy Engineering

• EE6610  Power System Steady State Analysis

• EE6670  Power Electronic Circuits

• EE6650  Power System Protection

• EE6620  Power Distribution Engineering

• EE6621  Power Transmission Engineering

• EE6651  Industrial Power System Design

• EE8680  Optimization Techniques in Power Systems

• EE8610  Power Systems Operation and Control

• EE8681  Electric Power Quality

• EE8611  Power System Stability

• EE8612  Power System Planning

• EE8613  Power System Reliability and Security

• EE8682  Power System Transients

• EE8650  High Voltage Engineering

• EE8620  Power Distribution Control and Automation

• EE8630  Electric Machinery Analysis

• EE8670  Dynamics and Control of Electric Machine Drives

• EE8671  Power IC Design

• EE8631  Wind Energy Conversion and Grid Integration

• EE8640  Distributed and Renewable Energy Systems

• EE8683  Electric Power Quality

• EE8684  Electric and Magnetic Fields in Electric Power Engineering

• EE8660  Smart Grids

• EE8685  Artificial Intelligence Tools for Power System

• EE8690  Power System Management and Electricity Markets

• EE8615 Characterization & Planning of Small‐Scale Multi‐Generation Systems

• EE8691  Engineering, Economics and Regulation of the Electric Power Sector

• EE8621  Electrical Load Management, Forecasting & Control

• EE8600  Special Topics in Power Engineering I

• EE8601  Special Topics in Power Engineering II

• EE8606  Special Topic in Power Electronics I

• EE8607 Special Topic in Power Electronics II

• EE8909  MS Research Thesis

• EE8999  PhD Thesis

Robotics and Control Systems

• EE6201 Linear Control Systems (CORE)

• EE6202 Digital Control Systems

• EE6203 Nonlinear Systems & Control

• EE6204 System Modelling and Identification

• EE6205 Advanced Digital Signal Processing

• EE6206 Audio Signal Processing

• EE6207 DSP for Controls and Power Systems

• EE6208 Statistical Signal Processing

• EE8201 Distributed and Autonomous Robotic Systems

• EE8202 Stochastic Control and Fault Diagnostics

• EE8203 Networked Control and Multiagent Systems

• EE8204 Artificial Intelligence for Control Engineering

• EE8205 Deep Learning

• EE8206 Robust and Optimal Control Systems

• EE8207 Computer Vision

• EE8208 Special Topics in Control Engineering

• EE8909  MS Research Thesis

• EE8999  PhD Thesis

Intelligent Systems

• EE6430 Foundations of Artificial Intelligence

• EE6431 Introduction to Natural Language Processing

• EE8432 Machine Learning

• EE8433 Digital Image Processing

• EE8434 Computer Vision

• EE8441  Data Mining

• EE6450  Bioinformatics

• EE6460  Design and Analysis of Algorithms

• EE6467  Probabilistic Graphical Models

• EE6468  Decision Support Systems

• EE8435  Pattern Recognition

• EE8490  Advanced topics in Intelligent Systems

• EE8436 Swarm Intelligence

• EE8909  MS Research Thesis

• EE8999  PhD Thesis

Mathematics Based Elective Courses
(Common to All Specializations)

Students have to take a minimum of one math course being offered.

• SC8101 Optimization Techniques

• SC8102 Integral Equations and Transforms

• SC8103 Complex Analysis

• SC8104 Finite Element Methods

• SC8105 Numerical Methods

• SC8106 Real Analysis

• SC8107 Computational Linear Algebra

• SC8110  Special Topics in Mathematics

• EE8901 Research Methodology