Bachelor of Science in Electrical Engineering

Accredited by the UAE Ministry of Education

Synthesize science, mathematics, technology, and application-oriented designs into world-class consumer products, timely microprocessors, state-of-the-art computers, advanced electronic components, and much more in our electrical engineering degree.


The BS in Electrical Engineering addresses the high-technology needs of business and industry by offering a rich academic program that includes analog and digital integrated circuits, digital signal processing, radiation and propagation, power electronics, control systems, communications, circuit theory, computer architecture, computer-aided design, embedded systems, solid-state devices, microelectromechanical systems (MEMs), robotics and energy. Our nationally and internationally recognized program combines the rigor of theory with the reality of engineering practice. As an Engineering hub, Dubai is the perfect place to study an engineering degree and interact with industry.

The major will prepare you for an exciting career within the varied electrical engineering disciplines and for positions in business management. As a graduate you will also have the foundation to pursue advanced study at the most prestigious graduate schools. Since the ability to design is an essential part of electrical engineering, you are presented with challenging design problems in a number of courses, beginning with Freshman Practicum course in the first year.

The electrical engineering curriculum is supported with advanced labs in electronics, digital systems, communications, EM Fields and transmission lines, smart energy, control, and robotics. In addition, an advanced lab in digital transformation was established in 2018 and funded by TDRA/ICTFund to promote design thinking and innovation. The lab supports the research and development of secure and smart solutions across a number of verticals that support digitization for government, enterprise, health, and education through capstone projects and use cases. Details of these labs are provided at the bottom of this section.

Energy has received a worldwide attention in recent years because of the diminishing natural resources, emergence of novel technologies such as smart grid as well as engineering innovations in photovoltaic cells, wind turbines and other renewable energy sources. In addition, modern power system management involves energy conservation, an area that has also elicited opportunities for research. Electrical engineering students at RIT Dubai can choose to declare energy as their degree option or otherwise take some energy courses as professional electives.

Artificial Intelligence (AI) is playing a crucial role in solving electrical engineering problems using both machine learning and deep learning. Electrical engineering students can choose to take one or more courses in AI as professional electives to equip them with the theoretical foundation and hands-on experience to prepare them to use AI in real-life applications found in communications, robotics, energy, and other areas.

Enrollment data for the Bachelor of Science in Electrical Engineering Program

Typical Job Titles

Electrical Engineer Robotics Engineer
AI Engineer Controls Engineer
Research Engineer Design Engineer
Manufacturing Engineer Test Engineer
Project Engineer Systems Engineer





Computer Networking


Electronic and Computer Hardware

Medical Devices


Mission Statement

The mission of the Electrical Engineering undergraduate program is to produce electrical engineering graduates with the appropriate skills set and experiential education who will have an immediate impact in the workforce, pursue graduate studies, and embrace life-long learning. The program also prepares graduates to adapt to the technological changes, create significant individual and industrial growth opportunities, and practice the profession with a social conscience.

Program Educational Objectives

The Program Educational Objectives (PEOs) are based on the needs of the program’s constituencies and describe what our graduates are expected to do within a few years of graduation. The electrical engineering faculty, in conjunction with its constituents, has established the following program educational objectives:

Graduates of the Bachelor of Science in Electrical Engineering are expected, within a few years of graduation, to have demonstrated:

  • PEO 1: “Systems-Based Solutions” An ability to apply core electrical engineering knowledge to the development of systems-based solutions.
  • PEO 2: “Life-Long Learning” An ability to enhance skills through formal training, independent inquiry, professional development, and graduate studies.
  • PEO 3: “Professional Responsibility” An ability to work independently as well as collaboratively with others, and to have demonstrated leadership, accountability, initiative and ethical and social responsibility.

Program Learning Outcomes

  1. Problem Solving: An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering science, and mathematics.
  2. Design: An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
  3. Communication: An ability to communicate effectively with a range of audiences.
  4. Ethical and Professional Responsibility: An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
  5. Teamwork: An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
  6. Experimentation: An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. Life-Long Learning: An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.


Typical Course Sequence

Total Credit Hours - 129

View the curriculum of BS Electrical Engineering - Energy Option

Course Sem. Cr. Hrs.
First Year
Calculus I
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.
Calculus II
This is the second in a two-course sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates.
General and Analytical Chemistry I
This is a general chemistry course for students in the life and physical sciences. College chemistry is presented as a science based on empirical evidence that is placed into the context of conceptual, visual, and mathematical models. Students will learn the concepts, symbolism, and fundamental tools of chemistry necessary to carry on a discourse in the language of chemistry. Emphasis will be placed on the relationship between atomic structure, chemical bonds, and the transformation of these bonds through chemical reactions. The fundamentals of organic chemistry are introduced throughout the course to emphasize the connection between chemistry and the other sciences.
FYW: Writing Seminar
Writing Seminar is a three-credit course limited to 19 students per section. The course is designed to develop first-year students’ proficiency in analytical and rhetorical reading and writing, and critical thinking. Students will read, understand, and interpret a variety of non-fiction texts representing different cultural perspectives and/or academic disciplines. These texts are designed to challenge students intellectually and to stimulate their writing for a variety of contexts and purposes. Through inquiry-based assignment sequences, students will develop academic research and literacy practices that will be further strengthened throughout their academic careers. Particular attention will be given to the writing process, including an emphasis on teacher-student conferencing, critical self-assessment, class discussion, peer review, formal and informal writing, research, and revision. Small class size promotes frequent student-instructor and student-student interaction. The course also emphasizes the principles of intellectual property and academic integrity for both current academic and future professional writing.
Freshman Practicum
EE Practicum provides an introduction to the practice of electrical engineering including understanding laboratory practice, identifying electronic components, operating electronic test and measurement instruments, prototyping electronic circuits, and generating and analyzing waveforms. Laboratory exercises introduce the student to new devices or technologies and an associated application or measurement technique. This hands-on lab course emphasizes experiential learning to introduce the student to electrical engineering design practices and tools used throughout the undergraduate electrical engineering program and their professional career. Laboratory exercises are conducted individually by students using their own breadboard and components in a test and measurement laboratory setting. Measurements and observations from the laboratory exercises are recorded and presented by the student to a lab instructor or teaching assistant. Documented results are uploaded for assessment.
University Physics I
This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses.
Digital Systems I
This course introduces the student to the basic components and methodologies used in digital systems design. It is usually the student's first exposure to engineering design. The laboratory component consists of small design, implement, and debug projects. The complexity of these projects increases steadily throughout the term, starting with circuits of a few gates, until small systems containing several tens of gates and memory elements. Topics include: Boolean algebra, synthesis and analysis of combinational logic circuits, arithmetic circuits, memory elements, synthesis and analysis of sequential logic circuits, finite state machines, and data transfers.
RIT 365: RIT Connections
RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies.
ANTH-365, ANTH-275, HIST-402 Islamic Culture Course 3
General Education - Artistic Perspective 3
General Education - Ethical Perspective 3
General Education - Global Perspective 3
Second Year
Multivariable Calculus
This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221.
Vector Calculus
This course introduces students to the concepts, techniques, and central theorems of vector calculus. It includes a study of line integrals, conservative vector fields, the flux of vector fields across curves and surfaces, Green’s Theorem, the Divergence Theorem, and Stokes’ Theorem. Credit may not be earned for this class if it is earned in COS-MATH-221.
University Physics II
This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses.
Computational Problem Solving for Engineers
This course introduces computational problem solving. Basic problem-solving techniques and algorithm development through the process of top-down stepwise refinement and functional decomposition are introduced throughout the course. Classical numerical problems encountered in science and engineering are used to demonstrate the development of algorithms and their implementations. May not be taken for credit by Computer Science, Software Engineering, or Computer Engineering majors. This course is designed for Electrical Engineering and Micro-Electronic Engineering majors and students interested in the Electrical Engineering minor.
Digital Systems II
In the first part, the course covers the design of digital systems using a hardware description language. In the second part, it covers the design of large digital systems using the computer design methodology, and culminates with the design of a reduced instruction set central processing unit, associated memory and input/output peripherals. The course focuses on the design, capture, simulation, and verification of major hardware components such as: the datapath, the control unit, the central processing unit, the system memory, and the I/O modules. The lab sessions enforce and complement the concepts and design principles exposed in the lecture through the use of CAD tools and emulation in a commercial FPGA. This course assumes a background in C programming.
Circuits I
Covers basics of DC circuit analysis starting with the definition of voltage, current, resistance, power and energy. Linearity and superposition, together with Kirchhoff's laws, are applied to analysis of circuits having series, parallel and other combinations of circuit elements. Thevenin, Norton and maximum power transfer theorems are proved and applied. Circuits with ideal op-amps are introduced. Inductance and capacitance are introduced and the transient response of RL, RC and RLC circuits to step inputs is established. Practical aspects of the properties of passive devices and batteries are discussed, as are the characteristics of battery-powered circuitry. The laboratory component incorporates use of both computer and manually controlled instrumentation including power supplies, signal generators and oscilloscopes to reinforce concepts discussed in class as well as circuit design and simulation software.
Differential Equations
This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms.
Linear Algebra
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.
Circuits II
This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steady-state solutions for circuits in the time domain. The complex plane is introduced along with the concepts of complex exponential functions, phasors, impedances and admittances. Nodal, loop and mesh methods of analysis as well as Thevenin and related theorems are applied to the complex plane. The concept of complex power is developed. The analysis of mutual induction as applied to coupled-coils. Linear, ideal and non-ideal transformers are introduced. Complex frequency analysis is introduced to enable discussion of transfer functions, frequency dependent behavior, Bode plots, resonance phenomenon and simple filter circuits. Two-port network theory is developed and applied to circuits and interconnections.
Advanced Programming
This course teaches students to master C++ programming in solving engineering problems and introduces students to basic concepts of object-oriented programming. Advanced skills of applying pointers will be emphasized throughout the course so as to improve the portability and efficiency of the programs. Advanced skills of preprocessors, generic functions, linked list, and the use of Standard Template Library will be developed.
Engineering Co-op Preparation
This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for co-op and subsequent professional experiences will be discussed.
General Education - Ethical Perspective 3
Third Year
Complex Variables
This course covers the algebra of complex numbers, analytic functions, Cauchy-Riemann equations, complex integration, Cauchy's integral theorem and integral formulas, Taylor and Laurent series, residues, and the calculation of real-valued integrals by complex-variable methods.
Introduction to Semiconductor Devices
An introductory course on the fundamentals of semiconductor physics and principles of operation of basic devices. Topics include semiconductor fundamentals (crystal structure, statistical physics of carrier concentration, motion in crystals, energy band models, drift and diffusion currents) as well as the operation of pn junction diodes, bipolar junction transistors (BJT), metal-oxide-semiconductor (MOS) capacitors and MOS field-effect transistors.
Linear Systems
Linear Systems provides the foundations of continuous and discrete signal and system analysis and modeling. Topics include a description of continuous linear systems via differential equations, a description of discrete systems via difference equations, input-output relationship of continuous and discrete linear systems, the continuous time convolution integral, the discrete time convolution sum, application of convolution principles to system response calculations, exponential and trigonometric forms of Fourier series and their properties, Fourier transforms including energy spectrum and energy spectral density. Sampling of continuous time signals and the sampling theorem, the Laplace, Z and DTFT. The solution of differential equations and circuit analysis problems using Laplace transforms, transfer functions of physical systems, block diagram algebra and transfer function realization is also covered. A comprehensive study of the z transform and its inverse, which includes system transfer function concepts, system frequency response and its interpretation, and the relationship of the z transform to the Fourier and Laplace transform is also covered. Finally, an introduction to the design of digital filters, which includes filter block diagrams for Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters is introduced.
EM Fields and Transmission Lines
The course provides the foundations to time varying Electromagnetic (EM) fields, and is a study of propagation, reflection and transmissions of electromagnetic waves in unbounded regions and in transmission lines. Topics include the following: Maxwell’s equations for time varying fields, time harmonic EM fields, wave equation, uniform plane waves, polarization, Poynting theorem and power, reflection and transmission in multiple dielectrics at normal incidence and at oblique incidence, TEM wave in transmission lines, transients on transmission lines, pulse and step excitations, resistive, reactive and complex loads, sinusoidal steady state solutions, standing waves, input impedance, the Smith Chart, power and power division and impedance matching techniques, TE and TM waves in rectangular waveguides, experiments using state-of-art RF equipment illustrating fundamental wave propagation and reflection concepts, design projects with state-of-art EM modeling tools.
One semester of paid work experience in electrical engineering.
Open Elective 1 3
Fourth Year
Probability and Statistics
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.
Classical Control
This course introduces students to the study of linear continuous-time classical control systems, their behavior, design, and use in augmenting engineering system performance. The course is based on classical control methods using Laplace-transforms, block-diagrams, root-locus, and frequency-domain analysis. Topics include: Laplace-transform review; Bode plot review; system modeling for control; relationships of transfer-function poles and zeros to time-response behaviors; stability analysis; steady-state error, error constants, and error specification; feedback control properties; relationships between stability margins and transient behavior; lead, lag, and PID control; root-locus analysis and design; frequency-response design and Nyquist stability. A laboratory will provide students with hands-on analysis and design-build-test experience, and includes the use of computer-aided design software such as MATLAB.
Embedded Systems Design
The purpose of this course is to expose students to both the hardware and the software components of a digital embedded system. It focuses on the boundary between hardware and software operations. The elements of microcomputer architecture are presented, including a detailed discussion of the memory, input-output, the central processing unit (CPU) and the busses over which they communicate. C and assembly language level programming concepts are introduced, with an emphasis on the manipulation of microcomputer system elements through software means. Efficient methods for designing and developing C and assembly language programs are presented. Concepts of program controlled input and output are studied in detail and reinforced with extensive hands-on lab exercises involving both software and hardware, hands-on experience.
Analog Electronics
This is an introductory course in analog electronic circuit analysis and design. The course covers the following topics: (1) Diode circuit DC and small-signal behavior, including rectifying as well as Zener-diode-based voltage regulation; (2) MOSFET current-voltage characteristics; (3) DC biasing of MOSFET circuits, including integrated-circuit current sources; (4) Small-signal analysis of single-transistor MOSFET amplifiers and differential amplifiers; (5) Multi-stage MOSFET amplifiers, such as cascade amplifiers, and operational amplifiers; (6) Frequency response of MOSFET-based single- and multi-stage amplifiers; (7) DC and small-signal analysis and design of bipolar junction transistor (BJT) devices and circuits; (8) Feedback and stability in MOSFET and BJT amplifiers.
One semester of paid work experience in electrical engineering.
General Education - Immersion 1 3
Fifth Year
Digital Electronics
This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET I-V behavior in aggressively scaled devices; (2) Static and dynamic characteristics of NMOS and CMOS inverters; (3) Combinational and sequential logic networks using CMOS technology; (4) Dynamic CMOS logic networks, including precharge-evaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior.
Communication Systems (WI)*
Introduction to Communication Systems provides the basics of the formation, transmission and reception of information over communication channels. Spectral density and correlation descriptions for deterministic and stationary random signals. Amplitude and angle modulation methods (e.g. AM and FM) for continuous signals. Carrier detection and synchronization. Phase-locked loop and its application. Introduction to digital communication. Binary ASK, FSK and PSK. Noise effects. Optimum detection: matched filters, maximum-likelihood reception, computer simulation.
Multidisciplinary Senior Design I
This is the first in a two-course sequence oriented to the solution of real-world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design.
Multidisciplinary Senior Design II
This is the second in a two-course sequence oriented to the solution of real-world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design.
Professional Elective 1 3
Professional Elective 2 3
Open Elective 2 3
Open Elective 3 3
General Education - Immersion 2 3
General Education- Immersion 3 3


* (WI) refers to a writing-intensive course within the major.


Focus Areas

Students admitted to the RIT Dubai campus may pursue their degrees towards the BS in Electrical Engineering or BS in Electrical Engineering with Energy Option. Students focusing their study in energy complete all the required courses for the BS in Electrical Engineering and choose their free and professional electives from a specified set of courses in energy.


RIT New York offers more options and student who wish to transfer to the main campus can focus their studies in one of the following areas: Energy, Computer Engineering, or Robotics.


It’s worth mentioning that RIT Dubai students can still use their free and professional electives in energy, communications, AI, and robotics without declaring a degree option. Find out more information about RIT New York Electrical Engineering program and options and RIT New York website



Flowchart of BS Electrical Engineering - Core

Flowchart of BS Electrical Engineering - Energy Option

Flowchart of BS Electrical Engineering - AI Option

Program Laboratories


Smart Energy Lab (SEL)

The Smart Energy Lab consists of an integrated system of Electrical Energy subsystems. Built by Lucas Nuelle, a German leading provider in education and training, the lab deploys smart electric gird including generation, transmission, distribution, and load management. In addition, the lab includes security and communication modules. The lab is based on the grid edge concept of clean energy smart grid configuration. The lab is used for undergraduate as well as graduate education and research. Students use the lab to design experiments required for their theses.

Read more

AI/Robotics Lab

The AI/Robotics lab supports varieties of activities in the area of AI and Robotics. Different use cases and projects in AI and Robotics can be developed 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 group whose mission is to support the industry and other stakeholders with smart solutions to problems in various disciplines. The AI/ Robotics lab consists of several ROSbot 2.0 Pro, PhantomX AX Metal Hexapod MK-III, Ubiquity Magni-Silver, WidowX 250 Robot Arm, Bioloid GP Humanoid Robots, and ABB dual-arm robot.

Read more

Computing Security Lab

To meet the growing demand for security applications, the computing security lab provides students with PCs loaded with software and advanced capabilities and with access to the DTLAB in order to support a wide range of applications in computing security. Experiments related to computer system security, penetration testing and frameworks, computer system forensics, and others. Using this lab, students design experiments in vulnerable environments, conduct various attacks, acquire information related to these attacks, and then develop techniques to mitigate them. The students can also run digital forensics tools such as Magnet Axiom and FTK to conduct investigations, reveal insights from the data collected, and practice incident response handling. Access to the DTLAB provides students with private cloud support that allow them to spin various virtual machines, connect them via a network, and study various security issues.

Read more

Computer Networking Lab

The lab offers capability to build and configure local area networks, both wired and wireless. This lab is divided into four clusters and each cluster has two sub-clusters with three adjacent PCs. A cabinet with at least one server, firewall, two routers, two IP Phones, access points, WLC, and five switches is dedicated for each cluster. UTP and Console cables are available for students to connect these devices to a LAN, WAN, and they can connect the event to the internet to install any additional required software or tool. This lab service is mainly used for some courses such as NSSA 241 Introduction to Routing the Switching, CSEC 462 Network Security and Forensics, NSSA 245 Network Services, and many other courses.

Read more

TDRA-ICTFund Digital Transformation Lab

This advanced lab in digital transformation was established in 2018 and funded by TDRA/ICTFund. The aim of this lab is to research and develop secure and smart solutions across a number of verticals that support digitization for government, enterprise, and education. The Lab is equipped with advanced computing capabilities, sensor devices, robots, components and facilities which allows electrical engineering and computing students to innovate, design and build technologies towards any type of digital transformation. Solutions developed in this lab will not only fulfil the demand of society but also look at the impact of these technologies on the evolution of society. The use of artificial intelligence, robotics, blockchain, augmented and virtual reality, softwarization of networks and radio will change the way automation will define the job market and shape the careers of the future generations.

Read more

Advisory Board

Mr. Eyad Shihabi
BT - MD, Natural Resources & Utilities at BT

Mr. Taha Khalifa
Intel Corp - Regional GM, MENA

Dr. Ayman El Nashar
Emirates Integrated Telecommunications (du) - Senior Director

Mr. Ghanim Al Falasi
Dubai Silicon Oasis Authority - Senior VP

Ms. Diyaa Zebian
Archinnova - Executive Partner

Mr. Bashar Kilani
Accenture - MD Digital Economy

Ms. Ghada Elkeissi
AWS - Head of Professional Services, ME & Africa

Dr. Mahmoud Sherif
Emirates Integrated Telecommunications (du) - Head of Technology & IT Strategy

Dr. Raed Shubair
UAE Ministry of Education, NYU-AD – Senior Advisor, Office of Undersecretary for Academic Affairs of Higher Education Research Affiliate, MIT Adjunct Professor, NYU-Abu Dhabi

Website last updated: July 12, 2024