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 customize a specialty of their choosing 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 core courses, electives (which may be selected according to a focus area), and thesis/graduate paper. The degree requirements are shown in the program chart.

Students can customize their degree plan to meet their preferences under the general MSEE degree option as shown in the leftmost column of the program chart. The chart also demonstrates how students may be able to select a specific subset from the available electives to focus their studies in AI Systems with application to smart energy, control/robotics, or communications if enough of the relevant courses are offered in the desired track during their duration of study. However, the declaration of a focus area is not required and is used for advising purposes to help students initiate research in a focus area, but not required for degree completion and selected focus areas won’t appear on students’ transcripts. All students will be certified against the general MSEE degree requirements. Note that the core courses are common to all options and that the focus area courses are a subset of the general MSEE elective courses.

For the general MSEE option, students are required to take three core courses (EEEE-602, 707, and 709) and choose 5, 6, or 7 elective courses based on their choice of thesis, graduate paper, or comprehensive exam, respectively.

For the MSEE degree with a focus area, students are required to take the above three core courses and advised to take five focus-area courses as shown in the program chart if all focus-area courses are offered during their span of study. Students opting for the thesis option don’t need to take additional courses. Students opting for graduate paper or comprehensive exam option are required to take one or two additional electives, respectively. Note that students are advised to follow a focus area where possible but they need not to declare one for their degree completion. Focus areas won’t appear on students’ transcript.

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

EEEE-602 Random Signals and Noise

EEEE-707 Engineering Analysis

EEEE-709 Adv. Engineering Mathematics

General MSEE

Choose 5 courses for the thesis option;
6 courses for the graduate paper option

MSEE with Focus Areas

Energy

Control & Robotics

Communications

EEEE-647 AI Exploration
EEEE-636 Biorobotics/Cybernetics
EEEE-622 Elect. Power Trans. & Dist.
EEEE-624 Advances in Power Systems
EEEE-629 Antenna Theory
EEEE-661 Modern Control 
EEEE-685 Principles of Robotics
EEEE-693 Digital Data Communications
EEEE-743 Digital Control
EEEE-765 Optimal Control 
EEEE-789 ST - Smart Grids
EEEE-797 Wireless Communications

 

EEEE-647 AI Exploration
EEEE-622 Elect. Power Trans. & Dist.
EEEE-624 Advances in Power Systems
EEEE-661 Modern Control Theory 
EEEE-789 ST - Smart Grids
EEEE-647 AI Exploration
EEEE-636 Biorobotics/Cybernetics
EEEE-661 Modern Control Theory
EEEE-685 Principles of Robotics
EEEE-765 Optimal Control
EEEE-647 AI Exploration
EEEE-629 Antenna Theory
EEEE-693 Digital Communications
EEEE-797 Wireless Communications

Electives

No additional courses are required for the thesis option
Choose 1 course for graduate the paper option

EEEE-636 Biorobotics/Cybernetics
EEEE-743 Digital Controls
EEEE-743 Digital Controls
EEEE-789 ST - Smart Grids
EEEE-636 Biorobotics/Cybernetics 
EEEE-685 Principles of Robotics
EEEE-789 ST - Smart Grids
Thesis EEEE-790 (6 Credits)
Graduate Paper EEEE-792 (3 Credits)

Total Credits: 30

Total Credits: 30

Total Credits: 30

Total Credits: 30

Notes:

  1. Students are advised to follow a focus area where possible but they need not to declare one for their degree completion. Focus areas won’t appear on students’ transcript.

  2. 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.

  3. 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 (which may lead to suspension). University rules on probation and suspension apply.

  4. The minimum passing grade for graduate-level courses is “C”. Students are required to achieve a grade of “C” or above on all core courses.

  5. The graduate work must be completed within seven years, starting from the time the first course is applied towards the MSEE degree.

  6. All courses are three (3) semester credit hours.

  7. Graduate elective courses from the main campus can be taken with the department approval.

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.

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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.

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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. 

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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.

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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.

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Dr. Muhideen Amer

Professor and Chair

Dr. Abdulla Ismail

Professor

Dr. Jinane Mounsef

Assistant Professor

Dr. Boutheina Tlili

Associate Professor

Eyad Shihabi

Managing Director,
Natural Resources & Utilities

BT
                   

Ghada Elkeissi

Head of Professional Services,
Middle East and Africa

AWS

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
Telecommunications
Company (du)

Ghanim Al Falasi

Senior VP – Corporate Services

Dubai Silicon Oasis Authority
(DSOA)
                   

Diyaa Zebian

Executive Partner

Archinnova

Dr. Mahmoud Sherif

Head of Technology and IT Strategy

Emirates Integrated
Telecommunications
Company (du)
                   

Bashar Kilani

Territory Executive - Middle East
(Gulf Countries & Levant)

IBM

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,
MIT
NYU-AD