Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
48 months
Details
Program Details
Degree
Bachelors
Major
Mechatronics | Robotics Engineering | Artificial Intelligence
Area of study
Information and Communication Technologies | Engineering
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2024-09-01-
2024-03-01-
2024-06-01-
About Program

Program Overview


Bachelor of Science in Mechatronics Engineering

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.


Program Overview

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.

Career Opportunities

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.

Program Educational Aims (Goals)

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.

Program Learning Outcomes

  • 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.

Program Completion Requirements

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.

Program Structure

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


1. Program Requirements

  • Core Course:
    • Mathematics and Sciences: 30 credit hours
    • Electromechanical Engineering: 46 credit hours
    • Computer Science and Computation: 12 credit hours
    • Professional Studies and General Education: 27 credit hours
  • Technical Electives: 12 credit hours
  • Practical Experience and Projects: 7 credit hours
  • Total: 134 credit hours

2. University Requirements

  • Course Code | Course Title | Prerequisite | Credit Hours
    • Mathematics and Sciences: 30 Cr. Hrs.
      • MTH 112: Calculus I
      • MTH 113: Calculus II
      • MTH 114: Linear Algebra
      • MTH 120: Discrete Mathematics
      • MTH 130: Probability and Statistics
      • MTH 212: Calculus III
      • MTH 220: Ordinary Differential Equations
      • SCI 210: Modern Physics
      • SCI 220: Engineering Mechanics
      • SHS 103: Chemistry
    • Electromechanical Engineering: 46 Cr. Hrs.
      • ENG 102: Digital Logic
      • ENG 122: Engineering Graphics and Design
      • NET 213: Microprocessors and Microcontrollers
      • ENG 213: Electric Circuit I
      • ENG 225: Electronics I
      • ENG 315: Control Systems
      • ENG 317: Digital Signal Processing
      • ENG 323: Electric Machines
      • MEC 305: Mechanical Vibrations
      • MEC 309: Electro-Pneumatic & Hydraulic Control Circuits
      • MEC 307: Mechanical Engineering Design
      • MEC 323: Industrial Automation
      • MEC 324: Mechatronics Systems Design
      • MEC 414: Programmable Logic Controllers
      • MEC 415: Computer Integrated Manufacturing (CIM)
      • PRE 252: Thermo Dynamics and Fluid Mechanics
    • Computer Science and Computation: 12 Cr. Hrs.
      • SWS 110: Programming I
      • SWS 111: Programming II
      • ENG 316: Internet of Things and Data Science
      • BCS 407: Artificial Intelligence
    • Professional Studies and General Education: 27 Cr. Hrs.
      • LNG 181: English I for Engineering & Computing
      • LNG 182: English II for Engineering & Computing
      • GED 190: Emirati Studies
      • GED 255: Critical Thinking and Problem Solving
      • ENT 141: Fundamentals of Innovation and Entrepreneurship 1
      • ENT 142: Fundamentals of Innovation and Entrepreneurship 2
      • ENT 241: Entrepreneurship 1
      • ENT 242: Entrepreneurship 2
      • BUS 311: Engineering Economy
      • ENG 416: Professional and Engineering Ethics
      • GED XXX: Humanity Elective

3. Technical Elective Courses

  • Course Code | Course Title | Prerequisite | Credit Hours
    • Suggested Elective Options: 12 Cr. Hrs.
      • 1. Robotics Artificial Intelligence
        • RAI 401: Robotics
        • RAI 402: Computer Vision
        • RAI 403: Machine Learning for Robotics
        • RAI 404: Vehicle Automation Systems
      • 1. Industrial Management
        • IDM 401: Smart Manufacturing Systems
        • IDM 402: Smart Supply Chain Management
        • IDM 403: Production Planning and Control
        • IDM 404: Industrial Safety and Risk Management

4. Practical Experience & Projects

  • Course Code | Course Title | Prerequisite | Credit Hours
    • Practical Experience and Project: 7 Cr. Hrs.
      • ENG 420: Internship
      • ENG 411: Graduation Project-1
      • ENG 412: Graduation Project-2
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