Bachelor of Science in Mechatronics Engineering
The Bachelor of Science in Mechatronics Engineering at AUE is a future-ready program tailored for those who dare to innovate and transform the world through intelligent systems. From autonomous drones and industrial robots to wearable technologies and smart manufacturing, the mechatronics revolution is redefining how we live, work, and interact with machines. This program empowers students to be at the heart of that transformation.
Through a curriculum that fuses mechanics, electronics, programming, control systems, and artificial intelligence, students gain interdisciplinary expertise essential for the design and optimization of modern, adaptive machines. But it’s not just about learning how things work, it’s about creating the next generation of technologies that will drive sustainable development, enhance quality of life, and solve real-world problems with ingenuity.
Why Choose Mechatronics Engineering at AUE?
At AUE, we go beyond teaching the fundamentals of engineering. We empower our students to become innovators, integrators, and leaders in smart systems and automation. Here’s what sets our Mechatronics Engineering program apart:
- Interdisciplinary Curriculum: The program integrates mechanical design, electronics, computer programming, automation, control systems, and artificial intelligence to train versatile engineers ready to tackle real-world challenges.
- Hands-on Learning: Through advanced labs, simulation tools, prototyping platforms, and capstone projects, students gain invaluable practical experience and build strong engineering intuition.
- Industry Relevance: The curriculum is aligned with international standards and shaped by industry input to ensure students are prepared for high-demand roles across sectors like robotics, automotive systems, industrial automation, aerospace, and medical devices.
- Capstone Design & Internship: In the final year, students undertake real-world design projects and professional internships, bridging the gap between academic theory and industrial practice.
- Sustainability and Innovation: With a focus on smart, energy-efficient, and sustainable technologies, students are empowered to innovate solutions that improve lives and protect our planet.
Who Should Join This Program?
If you’re passionate about engineering innovation, robotics, automation, and creating intelligent systems that move and interact with the world, then Mechatronics Engineering is your path. This program is ideal for problem-solvers, tech enthusiasts, and future engineers who seek to shape the future of technology.
Program Mission
To develop innovative, ethically grounded, and technically proficient mechatronics engineers capable of solving complex problems and advancing technology through interdisciplinary integration, hands-on experience, and lifelong learning.Â
Program Educational Objectives (PEOs)
- Excel in professional engineering roles and contribute to multidisciplinary projects involving intelligent and automated systems.
- Apply engineering fundamentals to design, analyze, and optimize integrated mechatronic solutions.
- Engage in ethical practices, leadership, and innovation within their professions.
- Pursue continuous learning and development to adapt to emerging technologies and market demands.
Program Learning Outcomes
- Ability to identify, formulate, analyze, simulate, and solve complex mechatronics engineering problems by applying principles of engineering, science, mathematics, and computing in the context of mechatronics systems.
- Ability to use appropriate techniques, skills, and modern engineering tools necessary for the design, modeling, and control of mechatronic systems.
- Ability to integrate multidisciplinary knowledge in designing and optimizing mechatronic systems or processes to meet desired goals, while prioritizing public health, safety, and welfare, and considering global, social, environmental, and economic impacts.
- Ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions related to mechatronics systems and their control.
- Ability to communicate effectively in both written and oral forms with diverse audiences, and collaborate efficiently in multidisciplinary teams to set goals, plan tasks, meet deadlines, and deliver high-quality engineering solutions.
- Ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, considering the impact of engineering solutions in global, economic, environmental, and societal contexts.
- Ability to recognize the need for and engage in life-long learning using appropriate learning strategies to stay current with emerging technologies in mechatronics and automation.
Goal 1 – Comprehensive Understanding of Mechatronics Engineering Fundamentals: Provide students with a thorough grasp of the fundamentals of Mechatronics engineering, ensuring they acquire both theoretical knowledge and practical expertise in state-of-the-art technologies.
Goal 2 – Global Perspectives and Cultural Competence: Foster global perspectives among students by encouraging exploration of diverse cultural, ethical, and social viewpoints. The aim is to instill adaptability and empathy, cultivating graduates as global citizens capable of navigating varied environments.
Goal 3 – Promotion of Lifelong Learning and Adaptability: Promote a commitment to lifelong learning among students, recognizing the perpetual evolution of the field of mechatronics engineering and cultivating a mindset of continuous learning, innovation, and adaptation to remain at the forefront of the rapidly changing technological landscape.
Goal 4 – Contributing to Economic Diversification and Innovation: Empower graduates with the skills and knowledge necessary to contribute significantly to the UAE National Agenda’s goal of economic diversification, and to nurture skilled professionals capable of driving innovation and technological advancements, thereby reducing reliance on traditional industries.
Goal 5 – Enhancement of Human Capital for Future Challenges: Produce graduates who are critical thinkers, problem-solvers, and effective communicators to contribute to the development of a highly capable and adaptable workforce ready to tackle the challenges of the future.
Career Opportunities
Graduates of the BSME program are equipped to take on diverse roles, including:
- Mechatronics Engineer
- Robotics Engineer
- Automation and Control Engineer
- Embedded Systems Engineer
- Systems Integration Specialist
- Industrial Design Engineer
- R&D Engineer in Advanced Manufacturing
Industries include automotive, aerospace, electronics, biomedical engineering, energy, and smart infrastructure.
ADMISSION REQUIREMENTS
- High School Average: 80%
- Subject-specific Competencies: Mathematics 80%, Physics 80%, one subject from (Chemistry 80% or Biology 80%).
- IELTS: Minimum band score of 5.0 or TOEFL iBT: Minimum score of 61 or ITB 500
- Placement Tests: All applicants are required to complete placement tests in mathematics, physics, information technology, and English (writing) to assess readiness for the program’s technical coursework.
- Admission Interviews: Prospective students may be invited for an interview to evaluate their motivation, technical background, and alignment with program goals.
ACCREDITATION
Preparatory Courses
Students who do not pass the placement test are required to take the following preparatory courses before starting the program
| # | Course Code | Course | Credit Hours | Exemption Condition |
| 1 | CIT 90 | Computer Preparatory | 0 | Passing the Placement Test |
| 2 | MAT 90 | Mathematics Preparatory | 0 | Passing the Placement Test |
| 3 | ENG 99 | Writing Preparatory | 0 | Passing the Placement Test |
| 4 | PHY 90 | Physics Preparatory | 0 | Passing the Placement Test |
PROGRAM STRUCTURE
Course Category
Total Number of Courses
Total Number of Credit Hours
General Education Courses
10
30
College Mathematics and Science Courses
9
27
Engineering Core
10
30
Mechatronics Engineering Core
13
39
Mechatronics Engineering Electives
3
9
Total
45
135 Credit Hours
Courses and Description
GENERAL EDUCATION COURSES
10 COURSES | 30 CREDIT HOURS
A: University Core Requirements
Students are required to complete 9 credit hours (3 courses) from the following list:
This course offers an introductory exploration of Artificial Intelligence (AI) for students across all disciplines. It focuses on applying AI concepts and tools practically without delving deeply into specialized or theoretical content. Students will learn basic AI concepts through practical exercises, including problem-solving, decision-making, simple machine learning, reinforcement learning, probabilistic learning, and natural language processing. The course will emphasize the impact of AI on society, ethics, and everyday life, preparing students to understand and engage with AI in various contexts. By the end of the course, students will have a comprehensive understanding of artificial intelligence, its branches, and practical applications across real-world domains
B: Languages and Communication Studies
Students are required to complete 9 credit hours (3 courses) from the list below:
This course provides students with advanced writing skills in English so that they can successfully pursue their studies in various academic specializations. It helps students to develop, improve, and upgrade their writing and structure skills, and it also acquaints students with technical writing, research papers, and essays since brief research methods are applied in student projects and assignments.
Students must take one of the following Arabic Language courses:
C: The Natural sciences or Mathematics
The student selects 3 credit hours (1 courses) from the list below:
The natural science course incorporates a wide range of subjects sciences such as astronomy, geology, biology, chemistry, and environmental science. The course will present the scientific facts of astronomy, the Earth and its weather, water, and environment, biology, and nutrition with the chemicals of life. The course emphasizes understanding the core principles of different branches of science and their effects on our lives. Moreover, the course explores the scope of natural phenomena, changing environmental conditions, general health rules of nutrition, and the variety of living organisms. The course helps the students to acquire skills in observation, critical thinking, analyzing, interpreting, understanding, and discussing scientific terminology and facts
The ‘Principles of Environmental Science course is designed to introduce the fundamental concepts of environmental science to undergraduate students. It includes topics from different areas of study such as ecology, biology, soil science, and atmospheric science. The course aims at raising environmental awareness among students and providing them with the scientific knowledge and skills to identify, prevent and solve environmental problems. Additionally, it deals with ecological concepts, organism interactions, communities, and ecosystems. The course focuses on key areas of population dynamics, biodiversity, human activities, environment-managed ecosystems, air quality, water, and solid waste management.
This course gives a thorough introduction to sustainable energy, conservation, and energy efficiency within the UAE and the world. It will explore the relationship between energy, environment, economy, and ecological well-being. It will discuss energy production from the biology, natural science, environmental science, and social sciences perspectives. A variety of topics will be introduced including global warming, climate change, sustainable food production, solid waste management, environmental and natural resources laws. The course includes the growing challenges of climate change and energy crises and proposes solutions to overcome them.
This course is designed to develop a good understanding of the fundamental concepts of mathematics. It also stresses crucial cognitive transferable skills such as the ability to think logically and concisely. Mastering this course will give students the confidence to go on and do further courses in mathematics and statistics.
D: The Humanities or Arts
The student selects 3 credit hours (1 courses) from the list below:
E: Islamic Studies
The student selects 3 credit hours (1 course) from the list below
F: UAE Studies
The student selects 3 credit hours (1 course) from the list below
College Mathematics and Science Courses
27 CREDIT HOURS
Engineering Core
30 CREDIT HOURS
This course introduces fundamental engineering principles across various disciplines, focusing on the engineering design process, problem-solving techniques, and the use of computational tools like CAD and Excel. Through hands-on projects and lab work, students will develop teamwork and communication skills while tackling real-world engineering problems. The course also covers ethical and environmental responsibilities, with an emphasis on sustainability in engineering practice. By the end, students will have a solid foundation in engineering concepts and tools, preparing them for advanced studies.
Engineering Ethics is an essential course that introduces the principles and applications of ethics in engineering. It covers the fundamental theories of ethics, historical perspectives, and their relevance in modern engineering practice. The course explores the role of ethical decision-making in various engineering contexts, including emerging technologies, environmental sustainability, and workplace dynamics. Students will engage with case studies and real-world scenarios to understand the application of professional codes of ethics and the ethical implications of engineering decisions.
This hands-on laboratory course is dedicated to developing practical skills in Computer-Aided Drawing (CAD). Students will navigate industry-standard CAD software to create and manipulate both 2D and 3D drawings. Special emphasis is placed on engineering applications, ensuring students gain a comprehensive understanding of industry standards. Through a combination of theoretical knowledge and practical exercises, students will develop proficiency in utilizing CAD tools effectively. The course aims to bridge theoretical concepts with real-world applications, empowering students to apply CAD techniques to engineering problems.
This course introduces the principles and techniques of both electrical and mechanical measurements, focusing on the design, implementation, and analysis of measurement systems. Students will learn key concepts such as signal characteristics, uncertainty analysis, and data acquisition while gaining hands-on experience with tools like sensors, actuators, and data acquisition systems. Emphasis is placed on practical problem-solving and teamwork, with a final project where students design and present a comprehensive solution that integrates electrical and mechanical measurement principles, preparing them for mechatronics engineering challenges.
This foundational course introduces students to programming using Python, with no prior programming experience required. The course focuses on developing problem-solving skills through computational thinking, algorithmic design, and practical coding exercises. Students will learn core programming concepts such as variables, data types, control structures (conditionals and loops), functions, recursion, and file handling. Emphasis will be placed on best practices in programming, including clear communication, code documentation, and debugging techniques. Through a combination of lectures and lab sessions, students will gain hands-on experience in implementing Python programs to solve real-world problems.
This course aims at introducing object-oriented programming (OOP) concepts and design principles, using Python programming language. The course aims to equip students with the fundamental knowledge and skills needed to develop software applications using OOP.
The course covers abstraction, information hiding, classes, methods, attributes, inheritance, polymorphism, file processing, overloading, exception handling, reading, and writing from text files using Python’s built-in handling functions.
The course includes hands-on exercises that will help students develop the skills required to develop Object-Oriented functioning programs to solve real-world computing problems. Students will collaborate with peers to deliver a functioning object-oriented program that applies the acquired knowledge through the course.
This course provides a comprehensive introduction to electric and electronic circuits, blending theory with hands-on labs. Students will analyze circuits using fundamental laws and advanced techniques such as nodal and mesh analysis. The course covers AC circuits, semiconductor devices like diodes, BJTs, and FETs, and operational amplifiers. Circuit simulation tools are also introduced to enhance design and analysis skills. Collaborative teamwork in labs and projects is emphasized, preparing students to apply their knowledge to real-world circuit challenges.
This course offers an introduction to electronic models with logic design and the basic concepts used in digital systems. The course covers the design and applications of combinational logic components and sequential circuits. The course includes details of how computer systems are developed by highlighting the basic concepts involved in computer theory like truth tables, binary arithmetic, and standard representation of logic functions.
This course introduces the fundamental principles of feedback control systems. Students will explore both the theoretical and practical aspects of control system design, including system modeling, time and frequency domain analysis, and stability evaluation. Topics covered include transfer functions, state-space representation, steady-state error analysis, root locus techniques, and frequency response methods. Through hands-on projects and lab exercises, students will develop the skills to analyze and design feedback control systems that meet specific performance and stability criteria. The course emphasizes real-world applications of control systems and fosters teamwork through a final project, where students collaborate to design and implement a control system solution.
This course provides a comprehensive introduction to the principles and practices of embedded systems design. Students will explore key concepts such as embedded system architecture, real-time operating systems (RTOS), sensor and actuator interfacing, communication protocols, memory management, and power optimization techniques. The course emphasizes both theoretical understanding and practical implementation, with hands-on lab work involving microcontrollers, peripherals, and debugging tools. Throughout the course, students will work in teams to design, implement, and present a complete embedded system project, integrating real-time requirements, communication protocols, and power management strategies. By the end of the course, students will be equipped with the knowledge and skills to design and troubleshoot embedded systems used in various industries.
This course introduces students to the fundamental concepts and applications of digital signal processing (DSP). It covers discrete-time signals and systems, Z-transforms, and frequency domain analysis using Fourier techniques. Students will explore the Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), and the design and implementation of digital filters (FIR and IIR). Practical exercises using MATLAB allow students to apply these concepts in real-world DSP applications. The course also explores advanced topics such as adaptive filters and real-time DSP systems, with a focus on teamwork for final projects.
Mechatronics Engineering Core
39 CREDIT HOURS
The course provides an introduction to the resources needed for designing and fabricating mechatronics systems, including CAD/CAM/CAE; NC machining, casting, 3-D printing and additive manufacturing, injection molding, laser cutting; PCB layout and fabrication; sensors and actuators; analog instrumentation; embedded digital processing. Emphasis is placed on learning how to use the tools as well as understanding how they work. The course also has a laboratory or hands-on component where the students get the opportunity of hands-on learning of the various fabrication techniques and their use.
This course provides a comprehensive exploration of the theory and applications of electrical machines, focusing on magnetic circuits, transformers, and both synchronous and induction machines. Students will learn the principles of magnetic circuits, transformer construction, and phasor diagrams, along with three-phase transformer connections and practical considerations. The course covers operating principles, performance analysis, and control techniques for synchronous and induction machines, including torque-speed characteristics and speed control methods. Additionally, the course introduces special machines such as stepper motors and brushless DC motors. Emphasizing both theoretical knowledge and hands-on lab work, students will also collaborate in teams to design, analyze, and present innovative machine solutions. By the end of the course, students will be equipped with essential skills to understand, operate, and optimize a variety of electrical machines.
This course provides students with a thorough understanding of the principles of statics and the mechanics of deformable materials. The course covers essential concepts such as force systems, equilibrium, stress, and strain, leading to advanced topics including torsion, bending, and material failure criteria. Through a combination of theoretical instruction, practical activities, and individual projects, students will apply their knowledge to real-world engineering problems. By the end of the course, students will be equipped to analyze and design structural elements while ensuring they meet safety and performance standards in various engineering applications, effectively communicating their findings.
This course provides an in-depth exploration of the principles of dynamics, focusing on the motion and forces associated with particles and rigid bodies. Students will learn to apply Newton’s laws, analyze particle and rigid body kinematics, and evaluate mechanical systems using work-energy and impulse-momentum methods. The course also covers mechanical vibrations, including natural frequencies and damping. Emphasizing both individual analysis and teamwork, students will collaborate on projects to model and simulate dynamic systems, gaining hands-on experience with tools like MATLAB. By the end of the course, students will be equipped with the analytical skills needed to solve complex dynamics problems in engineering contexts.
This course introduces the fundamental principles, types, and applications of various sensors and actuators. It covers sensor signal processing, smart sensors, IoT integration, actuator control systems, and emerging trends in sensor technology. Students will engage in hands-on laboratory activities to integrate these components with microcontrollers, emphasizing the role of communication protocols in sensor and actuator networks.
This course provides a comprehensive study of fluid power systems, focusing on both hydraulic and pneumatic applications. Students will explore the principles of fluid mechanics, including fluid statics, viscosity, and pressure measurement, as well as dynamic concepts like the continuity and energy equations and Bernoulli’s equation. The course covers the selection and analysis of key fluid power components such as pumps, motors, valves, and accumulators. Through hands-on lab and project exercises, students will design and troubleshoot fluid power circuits, applying flow and pressure control techniques to meet specific operational needs. Emphasis is placed on teamwork and collaborative problem-solving to develop practical solutions to real-world challenges in hydraulics and pneumatics. By the end of the course, students will be equipped with the skills needed to design, implement, and optimize fluid power systems for diverse applications.
Human-Robot Interaction is an advanced course that delves deep into the world of robots and the innovative technology of sensory feedback and haptic interfaces in robotics. This course involves the theoretical coverage of the topics as well as hands-on laboratory activities to reinforce the learning. This course will provide students with an in-depth understanding of how collaborative robots work alongside human workers in various industrial and service settings, and how sensory feedback and haptic interfaces enhance human-robot interaction. Students will explore the design, operation, and application of robots, as well as the principles and development of sensory feedback systems in robotic technology. It prepares students for the dynamic field of automation and robotics across various industries.
This course provides a comprehensive understanding of mechatronics system design, focusing on the integration of mechanical, electronic, and computational components into unified systems. Students will explore fundamental concepts of mechatronics, including system modeling, simulation techniques, and the design of various transducers. The curriculum emphasizes practical skills in designing, analyzing, and controlling complex mechatronic systems. Key topics include electromechanical, electrostatic, and piezoelectric transducers, as well as digital control systems and feedback mechanisms. The course also addresses system robustness, uncertainty, and performance evaluation, with a strong focus on hands-on lab work and team-based projects that culminate in a final presentation. By the end of the course, students will be proficient in developing and optimizing mechatronic systems, prepared for real-world engineering challenges.
This course introduces the principles of modeling and simulation for mechatronic systems, covering mechanical, electrical, and control subsystems. Students will learn to develop mathematical models and simulate the behavior of these systems using modern tools. The course emphasizes multi-domain system integration and control strategies, preparing students to analyze and optimize mechatronic systems. Team-based projects will develop collaboration skills as students work to solve real-world engineering problems.
This course focuses on both theoretical principles and practical techniques to manage and mitigate vibrations and noise in engineering systems. Students will learn foundational concepts, including single and two-degree-of-freedom systems, progressing to advanced topics like modal analysis and experimental techniques. The course emphasizes teamwork in real-world applications, such as designing vibration isolation systems and implementing noise control measures. Topics include rotating machinery vibrations, active vibration control, acoustics, structural damping, and automotive noise control, delivered through hands-on labs and collaborative projects.
This course prepares students for the final-year Capstone project by emphasizing project planning and preparation within the Mechatronics field. Students will identify a technical industry challenge, analyze it, and define both functional and non-functional requirements to propose an innovative, computing-based solution. Students will work in groups of 2-4 members to foster collaboration, and each group will be assigned an academic supervisor and an external industry practitioner to guide topic selection, ensuring alignment with industry needs and student interests. Throughout the course, groups will collaboratively develop a comprehensive project proposal that includes objectives, a literature review, research design, intellectual property considerations, as well as budget and schedule management. The course culminates in a group proposal defense conducted in an oral format, with individual contributions assessed through reflective papers documenting each student’s involvement and learning experiences. Emphasizing project management, teamwork, collaboration, and presentation skills, this course equips students with the practical skills necessary to tackle real-world challenges in the field of Mechatronics.
Capstone II is a continuation of Capstone I and serves as the culminating experience for students. This course focuses on the design, development, and implementation of a comprehensive mechatronic system that addresses real-world challenges identified in Capstone I. Students will build upon the knowledge and skills acquired in the previous course, emphasizing interdisciplinary learning that integrates mechanical design, electronics, software development, and system integration in robotics. Working in teams, students will simulate professional engineering environments to deliver a functional prototype, accompanied by thorough documentation and analysis. The course emphasizes project management, collaboration, and the application of ethical considerations in engineering practices, preparing students to present their final projects in a professional context. By the end of the course, students will demonstrate their ability to effectively communicate technical concepts and deliver innovative mechatronic solutions.
The Mechatronics Engineering Internship program is a critical component for graduation, designed to bridge the gap between academic theories and real-world applications in the field. Students are required to engage in practical work experience, applying their robotics engineering skills in a professional environment. During the internship, students are expected to submit four detailed reports, documenting their tasks, the skills they applied, and the new competencies they developed. The program culminates with an oral presentation, where students reflect on their overall performance, challenges faced, and the knowledge gained throughout their internship experience.
Mechatronics Engineering Electives
9 CREDIT HOURS
This comprehensive course covers the principles and technologies behind various renewable sources. Starting with solar energy, students focus on both photovoltaic and solar thermal systems. The course extends to wind energy, hydropower, geothermal energy, and biomass energy systems. The course examines the integration of these sources and explores sustainable energy planning, policies, and energy storage.
This comprehensive course focuses on the core aspects of Industrial Automation and Control Systems (IACS). Starting with an introduction to the field, students explore sensors and actuators, progressing to the in-depth study of Programmable Logic Controllers (PLCs), their programming languages, and logic design. The course extends to cover Supervisory Control and Data Acquisition (SCADA), Human-Machine Interface (HMI) design, and various industrial communication protocols. As the course progresses, students explore advanced topics such as Distributed Control Systems (DCS), Safety Instrumented Systems (SIS), and cybersecurity in the context of industrial automation.
This course delves into the essential principles of ensuring the reliability and maintenance of mechatronic systems, which are crucial for maintaining peak performance in a wide range of industrial applications. It begins with an introduction to the fundamentals of mechatronic system reliability, followed by a comprehensive examination of failure modes and root cause analysis. Students will participate in hands-on labs that cover reliability testing, modeling exercises, and the fundamentals of both preventive and corrective maintenance. As the course advances, students will tackle more complex topics, such as reliability-centered maintenance (RCM), condition monitoring, and risk-based maintenance strategies, all reinforced with practical lab sessions. Additionally, the course will cover maintenance planning, scheduling, and the impact of human factors on system reliability and maintenance, using real-world case studies to bring theory into practice.
This course provides an in-depth exploration of advanced robotics concepts, focusing on the design, analysis, and implementation of robotic systems. Students will engage with topics such as robot kinematics, dynamics, control strategies, and programming languages. Emphasizing practical applications, the course includes hands-on projects and simulations to develop skills in robotics system design and implementation. Ethical considerations and the impact of robotics in society will also be discussed, preparing students for future challenges in the field.
This course focuses on the principles and techniques of path planning and navigation for autonomous robots. The course covers motion planning algorithms, sensor integration, and localization methods, emphasizing practical applications in dynamic environments. Students will engage in simulations and hands-on activities to develop skills in implementing efficient navigation strategies. Topics include multi-robot coordination, energy management, and the challenges of operating in unknown environments. This course prepares students for real-world applications in robotics and autonomous systems.
This course introduces fundamental concepts and principles of AI, exploring its risks and benefits in various applications. Students will learn problem-solving techniques, including search algorithms, adversarial search, and game theory. The curriculum covers knowledge representation and inference, focusing on first-order logic and instrumental planning. It also addresses uncertain knowledge through probabilistic reasoning, Bayesian networks, and decision-making strategies. A significant portion of the course is dedicated to machine learning, with practical exercises that reinforce understanding. The course culminates in a group project, enabling students to apply their AI knowledge to solve real-world problems.
Program Director

Dr. Rami Ahmed
Associate Professor / Department Chair of the Bachelor of Science in Cybersecurity Engineering / Acting Department Chair of Bachelor of Science Mechatronics Engineering
