Master of Science in Electrical Engineering

Master of Science in Electrical Engineering

Master of Science in Electrical Engineering

An electrical engineering master's degree that merges technology, engineering, and science and applies them to practical, industrial, and business applications.

Accredited by the UAE Ministry of Education

Program Overview

Rapidly developing global technologies are changing the way we live. The Master of Science (MS) in Electrical Engineering at RIT Dubai combines theoretical fundamentals and practical applications in this dynamic field and educates students in the practices, methodologies, and cutting-edge techniques used in electrical engineering including Artificial Intelligence. Students will build on experience of engineering and focus their studies in AI/Robotics, Communications, or Smart Energy while working closely with electrical engineering faculty in a contemporary and applied research area.

The MSEE degree requires the completion of 30 credits divided between required core courses, focus area courses, electives, and thesis/graduate paper. The degree requirements are shown in the following program chart.

Mission Statement
The Master of Science in Electrical Engineering program will foster an environment that encourages independent thinking and creativity and prepares students to pursue doctoral degrees in electrical engineering or a related discipline. Graduates of the program will also establish proficiency in a concentrated field of study and develop professional attributes that include communication skills and ethics to deal with the impact of technology and engineering solutions in a global and societal context.

Program Educational Objectives 
The Master of Science (MS) in Electrical Engineering Program Educational Objectives (PEO) are broad statements that describe what graduates are expected to attain within a few years of graduation. Program educational objectives are based on the needs of the program’s constituencies. The Electrical Engineering faculty, in conjunction with its constituents, has established the following program educational objectives:

PEO 1: Graduates will have specialized training in a concentrated field of study and develop professional attributes that include communication skills, and ethics to deal with the impact of technology in a global and societal context.

PEO 2: The program will foster an environment that encourages independent thinking and creativity that prepares them to pursue doctoral degrees in electrical engineering or related disciplines.

Program Learning Outcomes

  • (Independent Thinking) Demonstrate the ability to work independently in developing innovative solutions in Electrical Engineering 

  • (Discipline Focus) Establish a proficiency in a concentrated course of study and research in a subfield of Electrical Engineering 

  • (Communication)Demonstrate the ability to communicate effectively in written and oral forms.

A shortage of electrical engineering talent in the job market, particularly in the GCC, means that the demand for RIT Dubai graduates remains at an all-time high. Our graduates are working in a range of roles including Project Managers, Systems Engineers, Project Engineers, and General Managers.

Core Courses - 12 Credits

EEEE-602 Random Signals and Noise
EEEE-647 AI Exploration
EEEE-707 Engineering Analysis
EEEE-709 Advanced Engineering Mathematics
EEEE-795 Graduate Seminar (zero credit)

Focus Area Courses - 9 Credits

AI & Robotics


Smart Energy

EEEE-636 Biorobotics/Cybernetics
EEEE-661 Modern Control Theory
EEEE-685 Principles of Robotics
EEEE-692 Communication Networks
EEEE-693 Digital Data Comm.
EEEE-797 Wireless Communications
EEEE-622 Elect. Power Trans. & Dist.
EEEE-624 Advances in Power Sys
EEEE-789 ST - Smart Grids

Graduate Electives

Choose 1 course (3 credits) for thesis or 2 courses (6 credits) for graduate paper

EEEE-629 Antenna Theory
EEEE-743 Digital Controls
EEEE-765 Optimal Control

Note that courses from other focus areas count as electives
One graduate-level course from outside the department can be taken as an elective with the department approval

EEEE-790 Thesis (6 Credits)
EEEE-792 Graduate Paper (3 Credits)

Total Credits: 30

Total Credits: 30

Total Credits: 30


  1.  All courses, except EEEE-795, are three (3) semester credit hours.

  2. Students opting for the thesis option are required to take eight (8) courses in addition to thesis. Students opting for the graduate paper option are required to take nine (9) courses in addition to the graduate paper.

  3. The graduate paper (EEEE-792) must be completed in one semester and is graded with letter grades F-A. Students may not split the graduate paper credits over multiple semesters.

  4. Students must maintain a cumulative GPA of 3.0 or above at all times. A student with a cumulative GPA of less than 3.0 will be placed on probation per the university policies (which may lead to suspension). University rules on probation and suspension apply.

  5. The minimum passing grade for graduate-level courses is “C”.

  6. The graduate work must be completed within seven (7) years starting from the time the first course is applied towards the MSEE degree.

To graduate, students need to complete all the requirements as listed in the curriculum. Click here for the graduation policy.

Click here to download graduate catalogue for complete descriptions of each course within the program.


Smart Energy Lab (SEL)

The Robotics and Industry 4.0 LAB is designed to support and present research in the future of Industry. The main objective is to provide a platform to test and develop universal solutions to optimize the industrial processes given the technological and other industrial advances. This infrastructure is already available to the academic and research community both private and public. The Intelligent Supply Chain LAB (Located alongside the Industry 4.0 Lab) provides a test and experimentation platform to students and researchers from both industrial and academic communities to experiment and develop solutions to the integrated supply chain because of the ever-changing environment. It includes modular elements to simulate similar industrial contexts.


AI/Robotics Lab

The AI/Robotics lab fosters different use cases and projects in both AI (machine learning and deep learning) and Robotics with state-of-the-art equipment to support applications related to path planning, navigation, SLAM, Pick, and Place. Moreover, the AI/Robotics lab incorporates the AI/Robotics student club whose mission is to support students with extracurricular activities that provide them with better exposure and learning experience of skills related to AI and robotics.


Computing Security Lab

The computing security lab provides students with a PC and access to the DTLAB in order to support a wide range of courses. Examples of these courses are penetration testing, security auditing, cyber defense, network forensic, digital forensics, and many more. 


Computer Networking Lab

This lab is divided into four clusters. Each cluster has two sub-clusters with three adjacent PCs. A cabinet with at least one server, firewall, two routers, and four switches is dedicated for each of the four clusters. UTP and Console cables are available for students to connect these devices into a LAN, WAN and they can connect the event to the internet to install any additional required software or tool.


Digital Transformation Lab

The digital transformation lab at RIT Dubai is funded by the TRA ICT fund and was established in 2018. The aim of this lab is in the research and development of secure and smart solutions across a number of verticals that support digitization for government, enterprise, and education.


Dr. Muhideen Amer

Professor and Chair

Dr. Abdulla Ismail


Dr. Jinane Mounsef

Assistant Professor

Dr. Boutheina Tlili

Associate Professor

Eyad Shihabi

Managing Director,
Natural Resources & Utilities


Ghada Elkeissi

Head of Professional Services,
Middle East and Africa


Taha Khalifa

Regional General Manager, Middle East
and North Africa

Intel Corp

Dr. Ayman ElNashar

VP and Head – Technology Architecture,
Research, and Development

Emirates Integrated
Company (du)

Ghanim Al Falasi

Senior VP – Corporate Services

Dubai Silicon Oasis Authority

Diyaa Zebian

Executive Partner


Dr. Mahmoud Sherif

Head of Technology and IT Strategy

Emirates Integrated
Company (du)

Bashar Kilani

Territory Executive - Middle East
(Gulf Countries & Levant)


Dr. Raed Shubair

Senior Advisor, Office of Undersecretary for
Academic Affairs of Higher Education

Research Affiliate, MIT
Adjunct Professor, NYU-Abu Dhabi
UAE Ministry of Education,