Bachelor of Science in Mechatronics Engineering
4 Years (8 Semesters)
134 Credit Hours
Fall, Spring and Summer Semesters

Program Overview

The Bachelor of Science in Mechatronics Engineering (BScME) program at Canadian University Dubai is designed to equip students with expertise in mechanical, electrical, and software systems to develop intelligent automation and robotic solutions. The interdisciplinary curriculum integrates advanced principles of robotics, artificial intelligence, automation, industrial control, and management to prepare graduates for leadership roles in smart manufacturing, autonomous systems, and Industry 4.0.

The program offers two elective focuses:

  • Robotics AI – Focusing on robotic system design, machine learning, intelligent control, and human-robot interaction for cutting-edge automation solutions.
  • Industrial Management – Emphasizing smart manufacturing, supply chain optimization, digital transformation, and process automation for operational excellence.

Through rigorous theoretical coursework, hands-on laboratory experiences, and real-world internships, students gain practical skills in robotic system design, industrial automation, control engineering, and AI-driven decision-making. The program emphasizes innovation, problem-solving, and sustainable technology development to address the evolving challenges of modern industries.

Benefits

  • Specialized Knowledge in Robotics and Automation: Gain expertise in robotic system design, intelligent automation, AI-driven control, and mechatronic integration to meet the demands of modern industries.
  • Industrial Management Focus: Develop skills in project management, supply chain optimization, lean manufacturing, and digital transformation to enhance operational efficiency in smart industries.
  • Hands-On Learning: Work in state-of-the-art labs, engage in real-world projects, and participate in internships to bridge the gap between theory and practice.
  • Capstone Projects: Solve industry-relevant challenges in your final year through collaborative projects in robotic AI, automation, and industrial optimization.
  • Global Relevance: The curriculum addresses emerging trends in Industry 4.0, smart factories, and autonomous systems, ensuring graduates are globally competitive.
  • Sustainability and Ethical AI: Learn to develop energy-efficient mechatronic systems, apply ethical AI principles, and design eco-friendly automation solutions.
  • Flexible Electives: Explore advanced topics such as human-robot interaction, industrial IoT (IoT), cyber-physical systems, and intelligent manufacturing to align with industry trends.
  • Faculty-Driven Research Opportunities: Collaborate on cutting-edge research in robotics, AI-driven automation, industrial systems optimization, and smart manufacturing technologies.
  • Entrepreneurial and Innovation Training: Gain the skills to develop, manage, or launch technology-driven ventures in mechatronics, robotics, and industrial automation.

Graduates of the BSc in Mechatronics Engineering program are well-prepared for diverse roles in automation, robotics, and industrial management, including:

  • Robotics Engineer: Design, develop, and optimize robotic systems for industrial and autonomous applications.
  • Automation Engineer: Implement intelligent automation solutions in smart factories, logistics, and industrial processes.
  • AI-Driven Control Engineer: Develop AI-based control algorithms for autonomous systems and industrial robots.
  • Industrial Management Engineer: Optimize production systems, supply chains, and process automation for improved efficiency.
  • Mechatronics Systems Designer: Integrate mechanical, electrical, and software components into intelligent automation solutions.
  • Industrial IoT (IoT) Specialist: Develop and deploy smart sensors and connected industrial automation solutions.
  • Human-Robot Interaction Engineer: Focus on the safety, usability, and ethical implications of robotic systems in human environments.
  • Research & Development Engineer: Innovate in robotics, AI, industrial automation, and cyber-physical systems.
  • Entrepreneur in Smart Technologies: Launch startups in robotics, AI automation, or intelligent industrial systems.

The BSc in Mechatronics Engineering is designed to provide students with a strong foundation in robotic AI, automation, and industrial management, preparing them for industry and research-driven careers.

  • Develop a solid foundation in mechatronics engineering, enabling students to analyse and solve complex challenges in robotics, automation, and industrial systems.
  • Adapt to the rapidly evolving landscape of Industry 4.0, demonstrating agility in robotic AI, cyber-physical systems, and smart manufacturing.
  • Develop mastery in system integration, control design, and AI-based decision-making, applying diverse methodologies to optimize industrial automation and intelligent robotics.
  • Perform effectively as part of a multidisciplinary team, acquiring essential interpersonal, communication, and leadership skills to excel in diverse and competitive environments.
  • Recognize and uphold ethical and sustainable engineering practices, ensuring responsible AI, robotics, and industrial automation solutions that benefit society and industry.

  • PLO1: Identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  • PLO2: 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.
  • PLO3: Communicate effectively with a range of audiences.
  • PLO4: 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.
  • PLO5: Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
  • PLO6: Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  • PLO7: Acquire and apply new knowledge as needed, using appropriate learning strategies.

The BScME degree shall be awarded to a student upon completing the following requirements:

  • A student enrolled in the BScME program must have passed one hundred thirty-four (134) credit hours.
  • A student must have achieved a CGPA of not less than 2.0 on a scale of 4.0 points.
  • A student must have earned at least 50% of credits at CUD.
  • The internship and graduation project must be completed at CUD.

Dr. Ahmed Al-Gindy

Associate Professor
Email: agindy@cud.ac.ae
Phone: +971 47096813
Office: HUB Ground Floor - Office 76

 

Program Structure

The structure of the Bachelor of Science in Electrical Engineering in Mechatronics (BScEE) program is as follows:

Requirements   Compulsory
Credit Hours
Core Course Mathematics and Sciences 30
Electromechanical Engineering 46
Computer Science and Computation 12
Professional Studies and General Education 27
Technical Electives 12
Practical Experience and Projects 7
Total 134

Course Code Course Title Prerequisite Credit Hours
Mathematics and Sciences 30 Cr. Hrs.
MTH 112 Calculus I Pass Math Placement Test or MTH 012 3-0-3
MTH 113 Calculus II MTH 112 3-0-3
MTH 114 Linear Algebra MTH 112 3-0-3
MTH 120 Discrete Mathematics None 3-0-3
MTH 130 Probability and Statistics MTH 112 3-0-3
MTH 212 Calculus III MTH 113 3-0-3
MTH 220 Ordinary Differential Equations MTH 212 3-0-3
SCI 210 Modern Physics None 2-2-3
SCI 220 Engineering Mechanics MTH 112 3-0-3
SHS 103 Chemistry None 2-2-3
Electromechanical Engineering 46 Cr. Hrs.
ENG 102 Digital Logic None 2-2-3
ENG 122 Engineering Graphics and Design None 0-2-1
NET 213 Microprocessors and Microcontrollers ENG 102 or NET 100 2-2-3
ENG 213 Electric Circuit I SCI 210 2-2-3
ENG 225 Electronics I ENG 213 2-2-3
ENG 315 Control Systems MTH 220 3-0-3
ENG 317 Digital Signal Processing MTH 220 3-0-3
ENG 323 Electric Machines ENG 213 2-2-3
MEC 305 Mechanical Vibrations MTH 220 2-2-3
MEC 309 Electro-Pneumatic & Hydraulic Control Circuits PRE 352 2-2-3
MEC 307 Mechanical Engineering Design ENG 122 3-0-3
MEC 323 Industrial Automation Co-requisite MEC 324 3-0-3
MEC 324 Mechatronics Systems Design MTH 220 2-2-3
MEC 414 Programmable Logic Controllers ENG 315 2-2-3
MEC 415 Computer Integrated Manufacturing (CIM) MEC 323 2-2-3
PRE 252 Thermo Dynamics and Fluid Mechanics SCI 210 3-0-3
Computer Science and Computation 12 Cr. Hrs.
SWS 110 Programming I None 2-2-3
SWS 111 Programming II SWS 110 2-2-3
ENG 316 Internet of Things and Data Science NET 213 2-2-3
BCS 407 Artificial Intelligence SWS 111 or BCS 206, BCS 222 3-0-3
Professional Studies and General Education 27 Cr. Hrs.
LNG 181 English I for Engineering & Computing None 3-0-3
LNG 182 English II for Engineering & Computing LNG 181 3-0-3
GED 190 Emirati Studies None 3-0-3
GED 255 Critical Thinking and Problem Solving LNG 182 or LNG 172 3-0-3
ENT 141 Fundamentals of Innovation and Entrepreneurship 1 None 2-0-2
ENT 142 Fundamentals of Innovation and Entrepreneurship 2 ENT 141 0-2-1
ENT 241 Entrepreneurship 1 ENT 142 2-0-2
ENT 242 Entrepreneurship 2 ENT 241 0-2-1
BUS 311 Engineering Economy MTH 130 3-0-3
ENG 416 Professional and Engineering Ethics Min 60 Cr. Hrs. 3-0-3
GED XXX Humanity Elective   3-0-3
Humanity Elective Courses (03 Credits): Students are required to Select ONE course from the following courses
GED 110 Modern Art Appreciation None 2-2-3
GED 111 Music Appreciation and Communication None 3-0-3
GED 191 Islamic Studies None 3-0-3
GED 196 Communication Skills in Arabic None 3-0-3
GED 205 Psychology in Everyday Life LNG 182 or LNG 172 3-0-3
GED 324 Ethical Reasoning for Today’s World LNG 182 or LNG 172 3-0-3
GED 330 Introduction to Canadian Studies None 3-0-3

Course Code Course Title Prerequisite Credit Hours
Suggested Elective Options 12 Cr. Hrs.
1. Robotics Artificial Intelligence
RAI 401 Robotics MTH 114, MEC 324 2-2-3
RAI 402 Computer Vision ENG 317 2-2-3
RAI 403 Machine Learning for Robotics MTH 120, RAI 401 3-0-3
RAI 404 Vehicle Automation Systems RAI 401 2-2-3
1. Industrial Management
IDM 401 Smart Manufacturing Systems ENG 316 3-0-3
IDM 402 Smart Supply Chain Management ENG 316 3-0-3
IDM 403 Production Planning and Control MEC 415 3-0-3
IDM 404 Industrial Safety and Risk Management MEC 323 3-0-3

Course Code Course Title Prerequisite Credit Hours
Practical Experience and Project 7 Cr. Hrs.
ENG 420 Internship 90 Cr. Hrs. & CGPA ≥ 2.0 3-0-3
ENG 411 Graduation Project-1 Completed 100 Cr. Hrs. 0-4-2
ENG 412 Graduation Project-2 ENG 411 0-4-2