MS Electrical Engineering

The MS Electrical Engineering programme at Ziauddin University offers a cutting-edge curriculum designed to equip students with advanced knowledge, research skills, and technical expertise. The programme provides a diverse range of specialisation streams, including Control & Automation, Computer & Communication Networks, and Telecommunication Systems. With a strong focus on innovation and problem-solving, students engage in rigorous coursework and research to address real-world engineering challenges. The programme fosters lifelong learning, preparing graduates to excel in industry, academia, and research while contributing to technological advancements globally.

Mission

To equip students with the knowledge, skills, and expertise in computer networks and security to effectively meet industry demands for professional success.

Programme Educational Objectives

PEO-1: Proficiently design, implement, and manage secure computer networks using knowledge of network architecture, protocols, and security measures.

PEO-2: Develop strong problem-solving skills to analyse, assess, and mitigate network security threats using best practices and modern tools.

PEO-3: Demonstrate professionalism, adaptability, and commitment to lifelong learning to succeed in dynamic network security environments and meet industry demands.

Specialisation Courses of Control & Automation

EE 821	Electronic System Design	EE 841	Convex Optimization
EE 701 / 801	Research Methodology	EE 811	Linear System Theory
EE 822	Advanced Instrumentation	EE 842	Multivariable Control Theory
EE 823	Advanced Power Electronics	EE 830	Network and Embedded Control Systems
CS 801	Neural and Fuzzy Systems	EE 843	Non-Linear Control Systems
CS 811	Machine Vision	ES 844	Optimal Control Systems
EE 824	Robotics	EE 845	Predictive Control
EE 825	Advanced Digital System Design	EE 834	Process Control
EE 826	Adaptive Control Systems	EE 840	Selected Topics in Control and Automation
EE 850	Adaptive Filter Design	EE 846	Mobile Robotics
EE827	PLCs and Control Systems	EE 828	Advanced Classical Control Systems
EE 813	Optimisation Theory	CS 815	Machine Learning
EE 820	Smart Grid Architecture

Specialisation Courses of Telecommunication System

TS 801	Advanced Communication Networks	CS 812	QoS Architecture for Multimedia Wireless Networks
EE 701 / 801	Research Methodology	EE 811	Linear System Theory
TS 802	RF and Microwave Engineering	TS 810	Telecommunication Traffic Engineering
CS 802	Advanced Computer Networks	TS 804	Wireless and Mobile Communication Systems
TS 805	Optical Communication Systems	TS 821	Next Generation Networks
CS 803	Information Theory and Coding	TS 811	Wireless Multiple Access Communication
CS 804	Internet Protocols	CS 822	Wireless Sensor Networks
TS 803	Advanced Digital Communication	TS 806	Satellite, Fixed and Mobile Radio Systems
CS 810	Computer and Network Security	TS 814	Electromagnetic Compatibility and Interface
EE 831	Error Control Coding	TS 807	Digital Design for Communication Systems
CS 823	High-Speed Broadband Networks	TS 851	Selected Topics in Communication Systems
CS 824	Internetworking Architectures, Protocols and Applications	CS 832	GIS and Remote Sensing
CS 825	IP Telephony and Voice over IP	TS 808	Queuing Theory
CS 826	Multilayer Switching Architecture	TS 809	Radar Systems
CS 830	Network Management	EE 850	Adaptive Filter Design
CS 831	Network Performance Analysis	EE 811	Linear System Theory
CS 815	Machine Learning	EE 820	Smart Grid Architecture

Specialisation Courses of Computer & Comunication Network

CS 802	Advanced Computer Networks	CS 831	Network Performance Analysis
EE 701 / 801	Research Methodology	EE 811	Linear System Theory
CS 803	Information Theory and Coding	TS 821	Next Generation Networks
CS 804	Internet Protocols	TS 805	Optical Communication Systems
CS 816	Advanced Computer Architecture	CS 812	QoS Architecture for Multimedia Wireless Networks
CS 813	Internet Programming	TS 810	Telecommunication Traffic Engineering
TS 802	RF and Microwave Engineering	TS 804	Wireless and Mobile Communication Systems
CS 801	Neural and Fuzzy Systems	TS 811	Wireless Multiple Access Communication
TS 801	Advanced Communication Networks	CS 822	Wireless Sensor Networks
TS 803	Advanced Digital Communication	CS 841	Multimedia Networking
CS 810	Computer and Network Security	CS 852	Selected Topics in Computer and Communication Networks
EE831	Error Control Coding	CS 853	Web Services and Service Oriented Architecture
CS 823	High-Speed Broadband Networks	CS 854	Cloud Computing
CS 824	Internetworking Architectures, Protocols and Applications	CS 855	Cryptography
CS 825	IP Telephony and Voice over IP	CS 856	Ubiquitous Computing
CS 826	Multilayer Switching Architecture	CS 857	Graphics Programming
CS 830	Network Management	EE 850	Adaptive Filter Design
CS 851	Advanced Artificial Intelligence	EE 811	Linear System Theory
EE 820	Smart Grid Architecture	CS 815	Machine Learning

Specialisation Course of Power System

S. No	Specialisation	Course Code	Course Title	Credit Hrs
	Power System / Control and Automation / Telecommunication Systems / Computer and Communication Networks	Core Courses
1		EE 801	Research Methodology	3+0
2		EE 802	Analysis of Stochastic Systems	3+0
3		EE 803	Advanced Simulation and Modeling	3+0
4		EE 804	Advanced Digital Signal Processing	3+0

Elective Courses

S. No	Specialisation	Course Code	Course Title	Credit Hrs
1	Power System Engineering		Elective I
2		EE 822	Advanced Instrumentation	3+0
3		EE 851	Power System Reliability	3+0
4		EE 852	Advanced Smart Grid	3+0
5		EE 853	Advanced Renewable Energy Systems	3+0
6		EE 854	Advanced Electrical Machines and Drives	3+0
7		EE 855	Modeling and Simulation of Power System Components	3+0
8		EE 856	Modeling and Simulation of Electrical Machines	3+0
9		EE 857	Distribution System Modeling and Analysis	3+0
10			Elective II
11		EE 805	Optical Communication Systems	3+0
13		EE 806	Satellite, Fixed and Mobile Radio Systems	3+0
14		EE 808	Queuing Theory	3+0
15		EE 810	Telecommunication Traffic Engineering	3+0
16		EE 811	Linear System Theory	3+0
17		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
18		EE 813	Optimization Theory	3+0
19		EE 813	Optimization Theory	3+0
20		EE 821	Electronic System Design	3+0
21		EE 823	Advanced Power Electronics	3+0
22		EE 824	Robotics	3+0
23		EE 825	Advanced Digital System Design	3+0
24		EE 826	Adaptive Control Systems	3+0
25		EE 826	Adaptive Control Systems	3+0
26		EE 827	PLCs and Control Systems	3+0
27		EE 828	Advanced Classical Control Systems	3+0
28		EE 830	Network and Embedded Control Systems	3+0
29		EE 831	Error Control Coding	3+0
30		EE 834	Process Control	3+0
31		EE 840	Selected Topics in Control and Automation	3+0
32		EE 841	Convex Optimization	3+0
33		EE 842	Multivariable Control Theory	3+0
34		EE 843	Non-Linear Control Systems	3+0
35		EE 844	Optimal Control Systems	3+0
36		EE 845	Predictive Control	3+0
37		EE 846	Mobile Robotics	3+0
38		EE 850	Adaptive Filter Design	3+0
39		EE 860	Neural and Fuzzy Systems	3+0
40		EE 861	Advanced Computer Networks	3+0
41		EE 862	Internetworking Architectures, Protocols and Applications	3+0
42		EE 863	Advanced Digital Communication	3+0
43		EE 864	Wireless and Mobile Communication Systems	3+0
44		EE 865	Multimedia Networking	3+0
45		EE 866	High Speed Broadband Networks	3+0
46		EE 867	Network Performance Analysis	3+0
47		EE 868	Network Management	3+0
48		EE 869	Wireless Multiple Access Communication	3+0
49		EE 870	Information Theory and Coding	3+0
50		EE 871	Next Generation Networks	3+0
51		EE 872	Wireless Sensor Networks	3+0
52		EE 873	Computer and Network Security	3+0
53		EE 874	Selected Topics in Communication Systems	3+0
54		EE 875	Machine Vision	3+0
55		EE 876	RF and Microwave Engineering	3+0
56		EE 881	Advanced Communication Networks	3+0
57		EE 882	Advanced Artificial Intelligence	3+0
58		EE 883	Selected Topics in Computer and Communication Networks	3+0
59		EE 884	Web Services and Service Oriented Architecture	3+0
60		EE 885	Cloud Computing	3+0
61		EE 886	Cryptography	3+0
62		EE 887	Ubiquitous Computing	3+0
63		EE 888	Graphics Programming	3+0
64		EE 895	Internet Protocols	3+0
65		EE-858	Power Quality	3+0
66	EE-859	Digital Signal Processing in Power System	3+0
67	EE-889	Energy Management	3+0
68	EE-890	Energy Audit	3+0
70	EE-891	Artificial Intelligence Techniques in Power System	3+0
71	EE-892	Selected Topics in Power Systems	3+0
75	EE-893	Advanced Electrical Machine Design	3+0
76	EE-894	Nuclear Energy Engineering	3+0
78	Control and Automation	EE 811	Linear System Theory	3+0
79		EE 813	Optimization Theory	3+0
80		EE 815	Machine Learning	3+0
81		EE 820	Smart Grid Architecture	3+0
82		EE 821	Electronic System Design	3+0
83		EE 822	Advanced Instrumentation	3+0
84		EE 823	Advanced Power Electronics	3+0
85		EE 824	Robotics	3+0
86		EE 825	Advanced Digital System Design	3+0
87		EE 826	Adaptive Control Systems	3+0
88		EE 827	PLCs and Control Systems	3+0
89		EE 828	Advanced Classical Control Systems	3+0
90		EE 830	Network and Embedded Control Systems	3+0
91		EE 834	Process Control	3+0
92		EE 840	Selected Topics in Control and Automation	3+0
93		EE 841	Convex Optimization	3+0
94		EE 842	Multivariable Control Theory	3+0
95		EE 843	Non-Linear Control Systems	3+0
96		EE 844	Optimal Control Systems	3+0
97		EE 845	Predictive Control	3+0
98		EE 846	Mobile Robotics	3+0
99		EE 850	Adaptive Filter Design	3+0
100		EE 860	Neural and Fuzzy Systems	3+0
		EE 875	Machine Vision	3+0
101		EE 896	Internet of Things	3+0
103	Telecommunication Systems	EE 805	Optical Communication Systems	3+0
104		EE 806	Satellite, Fixed and Mobile Radio Systems	3+0
105		EE 807	Digital Design for Communication Systems	3+0
106		EE 808	Queuing Theory	3+0
107		EE 809	Radar Systems	3+0
108		EE 810	Telecommunication Traffic Engineering	3+0
109		EE 811	Linear System Theory	3+0
111		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
112		EE 814	Electromagnetic Compatibility and Interface	3+0
113		EE 820	Smart Grid Architecture	3+0
114		EE 831	Error Control Coding	3+0
115		EE 832	GIS and Remote Sensing	3+0
116		EE 850	Adaptive Filter Design	3+0
117		EE 861	Advanced Computer Networks	3+0
118		EE 862	Internetworking Architectures, Protocols and Applications	3+0
119		EE 863	Advanced Digital Communication	3+0
120		EE 864	Wireless and Mobile Communication Systems	3+0
121		EE 866	High Speed Broadband Networks	3+0
122		EE 867	Network Performance Analysis	3+0
123		EE 868	Network Management	3+0
124		EE 869	Wireless Multiple Access Communication	3+0
125		EE 870	Information Theory and Coding	3+0
126		EE 871	Next Generation Networks	3+0
127		EE 872	Wireless Sensor Networks	3+0
128		EE 873	Computer and Network Security	3+0
129		EE 874	Selected Topics in Communication Systems	3+0
130		EE 876	RF and Microwave Engineering	3+0
131		EE 877	IP Telephony and Voice over IP	3+0
132		EE 878	Multilayer Switching Architecture	3+0
133		EE 879	Machine Learning	3+0
134		EE 881	Advanced Communication Networks	3+0
		EE 895	Internet Protocols	3+0
135		EE 896	Internet of Things	3+0
137	Computer and Communication Networks	EE 805	Optical Communication Systems	3+0
138		EE 810	Telecommunication Traffic Engineering	3+0
140		EE 811	Linear System Theory	3+0
141		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
142		EE 816	Advanced Computer Architecture	3+0
143		EE 820	Smart Grid Architecture	3+0
144		EE 850	Adaptive Filter Design	3+0
145		EE 860	Neural and Fuzzy Systems	3+0
146		EE 861	Advanced Computer Networks	3+0
147		EE 862	Internetworking Architectures, Protocols and Applications	3+0
148		EE 863	Advanced Digital Communication	3+0
149		EE 864	Wireless and Mobile Communication Systems	3+0
150		EE 865	Multimedia Networking	3+0
151		EE 866	High Speed Broadband Networks	3+0
152		EE 867	Network Performance Analysis	3+0
153		EE 868	Network Management	3+0
154		EE 869	Wireless Multiple Access Communication	3+0
155		EE 870	Information Theory and Coding	3+0
156		EE 871	Next Generation Networks	3+0
157		EE 872	Wireless Sensor Networks	3+0
158		EE 873	Computer and Network Security	3+0
159		EE 876	RF and Microwave Engineering	3+0
160		EE 877	IP Telephony and Voice over IP	3+0
161		EE 878	Multilayer Switching Architecture	3+0
162		EE 879	Machine Learning	3+0
163		EE 880	Internet Programming	3+0
164		EE 881	Advanced Communication Networks	3+0
165		EE 882	Advanced Artificial Intelligence	3+0
166		EE 883	Selected Topics in Computer and Communication Networks	3+0
167		EE 884	Web Services and Service Oriented Architecture	3+0
168		EE 885	Cloud Computing	3+0
169		EE 886	Cryptography	3+0
170		EE 887	Ubiquitous Computing	3+0
171		EE 888	Graphics Programming	3+0
172		EE 895	Internet Protocols	3+0
		EE 831	Error Control Coding	3+0
173		EE 896	Internet of Things	3+0

16 Years of education in the relevant discipline, Minimum CGPA 2.50/4.00 or 60% marks
Passed NTS GAT (general) or the University GAT test.
An interview must be cleared.

Duration and Semester-Wise Break-Up

Typical / Average duration for MS programme is 1.5 years (4 years maximum). A generalised semester wise break-up is as follows:

Description	Course Work Only Option	Coursework + Thesis Option
Number of semesters	04 (Typical)	04 (Typical)
Programme Credit hours	30 (Min)	30 (Min)
No. of Courses	Core: 04	Core: 04
No. of Courses	Elective: 06	Elective: 04
Coursework Credit Hrs.	30	24
Thesis C Hrs.	–	6
Credits allowed per semester	09 (max) in Spring/Fall 03 (max) in Summer	09 (max) in Spring/ Fall 03 (max) in Summer

MS Course Work & Thesis Work

Each MS student has to select three core courses and five or seven elective courses from the specialisation stream. A student can opt for six credit hours of research work/thesis instead of two courses from the specialisation stream.

Minimum For the award of an MS degree, candidates will need either to complete 30 credit hours of coursework or complete 24 credit hours of coursework along with a minimum of six credit hours for research work/thesis.

The thesis may be taken after completing 18 CH (minimum).

MS Electrical Engineering Core Course

Second Year – Semester III
Title	Cr. Hrs.
Embedded System Design	3+0
Embedded System Design	0+1
Data Structure and Algorithm	3+0
Data Structure and Algorithm	0+1
Web Engineering	3+0
Web Engineering	0+1
Computer Architecture	2+0
Computer Architecture	0+1
TOTAL	11+4=15

Graduates of the MS Electrical Engineering programme have diverse career opportunities in research, industry, and academia. They can excel as control systems engineers, automation specialists, network architects, telecommunication experts, and power system analysts. Industries such as telecommunications, energy, robotics, manufacturing, and smart grid technologies actively seek skilled professionals in these domains. Graduates can also pursue careers in R&D, consultancy, and government sectors, contributing to technological advancements and policy-making. With expertise in modern engineering tools and problem-solving, they are well-prepared to lead innovative projects, manage complex systems, and drive advancements in electrical and communication technologies.

Sr.	PLOs	Description
1	Academic Education	To prepare graduates as computing professionals.
2	Knowledge for Solving Computing Problems	Apply knowledge of computing fundamentals, knowledge of a computing specialisation, and mathematics, science, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualisation of computing models from defined problems and requirements.
3	Problem Analysis	Identify, formulate, research literature, and solve complex computing problems, reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
4	Design/ Development of Solutions	Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
5	Modern Tool Usage	Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
6	Individual and Team Work	Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
7	Communication	Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
8	Computing Professionalism and Society	Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
9	Ethics	Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
10	Lifelong Learning	Recognise the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Fee Description	Collection Type	Non Subject Fee	# of Cr. Hr	Fee/Cr. Hr	Amount
Admission Fee	One Time	15,000	–	–	15,000
Security Deposit	One Time	–	–	–	–
Application Fee	One Time	2,500	–	–	2,500
Tuition Fee	Semester	–	10	5,000	50,000
Examination Fee	Semester	–	10	500	5,000
Other Charges	Semester	–	–	–	–
Semester Registration Fee	Semester	5,000	–	–	5,000
Total Fees	—	—	—	—	77,500

MS Electrical Engineering

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