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.
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
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(Independent Thinking) Demonstrate the ability to work independently in developing innovative solutions in Electrical Engineering
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(Discipline Focus) Establish a proficiency in a concentrated course of study and research in a subfield of Electrical Engineering
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(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.
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Core Courses - 12 Credits EEEE-602 Random Signals and Noise |
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Focus Area Courses - 9 Credits |
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AI & Robotics |
Communications |
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 |
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Graduate Electives Choose 1 course (3 credits) for thesis or 2 courses (6 credits) for graduate paper EEEE-629 Antenna Theory |
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| EEEE-790 Thesis (6 Credits) EEEE-792 Graduate Paper (3 Credits) |
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Total Credits: 30 |
Total Credits: 30 |
Total Credits: 30 |
Notes:
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All courses, except EEEE-795, are three (3) semester credit hours.
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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.
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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.
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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.
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The minimum passing grade for graduate-level courses is “C”.
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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. Wesam Almobaideen
Professor
Dr. Abdulla Ismail
Professor
Dr. Jinane Mounsef
Assistant Professor
Dr. Boutheina Tlili
Associate Professor
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Eyad Shihabi Managing Director, BT |
Ghada Elkeissi Head of Professional Services, AWS |
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Taha Khalifa Regional General Manager, Middle East Intel Corp |
Dr. Ayman ElNashar VP and Head – Technology Architecture, Emirates Integrated
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Ghanim Al Falasi Senior VP – Corporate Services Dubai Silicon Oasis Authority
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Diyaa Zebian Executive Partner Archinnova |
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Dr. Mahmoud Sherif Head of Technology and IT Strategy Emirates Integrated
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Bashar Kilani Territory Executive - Middle East IBM |
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Dr. Raed Shubair Senior Advisor, Office of Undersecretary for Research Affiliate, MIT
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