UNIVERSITY OF MANAGEMENT AND TECHNOLOGY

Academic Programs

Roadmap of MSEE with Thesis

ComponentCredit Hours
Core Courses 12
Electives 12
Thesis 6
Total 30

Roadmap of MSEE without Thesis

ComponentCredit Hours
Core Courses 12
Electives 18
Total 30

MSEE Program Core Courses

The following is a list of core courses (12 credit hours)
Courses of 6xx level are highlighted (bold and underlined).

Course CodeTitleCredit Hours
ME704 Research Methodology 3
EE705 Linear Systems 3
EE708 Stochastic Processes 3
EE707 Optimization Techniques 3

Streams of Elective Courses

The department offers four different streams in MSEE curriculum.

1. Power & Energy

Course CodeCourse TitleCredit Hours
EE714 Embedded Systems 3
EE717 Photovoltaic Energy Systems 3
EE711 Advanced Power Systems 3
EE715 Transients in Power Systems 3
EE727 Advanced Concepts in Power System Protection 3
EE721 Power System Planning 3
EE739 Advanced Renewable Energy Systems 3
EEXXX Advanced Lighting Technologies 3
EEXXX Advanced Solar Concentrators 3
EE729 Advanced Electrical Machine Design 3
EEXXX Power Electronics Converters 3
EE748 Power Quality 3

2. Communication

Course CodeCourse TitleCredit Hours
EE720 Real-time Signal Processing 3
EE722 Adaptive Filtering Theory and Design 3
EE716 Nonlinear Signal Processing 3
EE725 Networks and Protocols 3
EE724 Wireless Communication 3
EEXXX Software-Defined Radio 3
EE718 Wireless Sensor Networks 3
EEXXX Design of Optical Transmission Systems            3
EEXXX Radio Frequency Integrated Circuits 3
EE709 Information Theory and Coding 3
EE735 Detection and Estimation Theory 3

3. Electronics

Course CodeCourse TitleCredit Hours
EE730 Advanced Circuit Design 3
EE714 Embedded Systems 3
EE710 Photonics Technologies (Opto-electronics)         3
EEXXX CMOS Analog Integrated Circuits 3
EEXXX Power Electronics Converters 3

4. AI & Machine Learning

Course CodeCourse TitleCredit Hours
EE731 Machine Learning 3
EEXXX Digital Image Processing 3
EEXXX Advanced Internet of Things 3
EEXXX Computational Intelligence 3
EE735 Detection and Estimation Theory                      3

Roadmap of MS Electrical Engineering

Year  I

Fall Semester

Spring Semester

Code

Course Title

Cr. Hrs.

Code

Course Title

Cr. Hrs

ME704

Research Methodology

3

EE707

Optimization Techniques

3

EE705

Linear Systems

3

EE708

Stochastic Processes

3

EEXXX

Elective - I

3

EEXXX

Elective - II

3

Semester Credit Hours

9

Semester Credit Hours

9

Year II

Fall Semester

Spring Semester

Code

Course Title

Cr. Hrs.

Code

Course Title

Cr. Hrs.

EEXXX

Elective – III

3

EE609

MS Thesis

6

EEXXX

Elective - IV

3

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Semester Credit Hours

6

Semester Credit Hours

6

Total Credit Hours = 30

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