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Regular Admission Requirements
| English Language Assessment | Minimum Scores for Certificates, Diplomas and Advanced Diplomas, and Post Graduate Certificates, Post-graduate Diplomas | Minimum Scores for Bachelor Degrees and Creative Communication | International Pathway to Nursing Program |
|---|---|---|---|
| CAEL Online or In-Person | Overall band score of 60 | Overall band score of 70 and Writing of 60 | Overall band score of 60 |
| IELTS Academic Level | Overall 6.0 and No band below 5.5 | Overall 6.5 and No band below 6.0 | Overall 6.0 and No band below 6.0 |
| Password Skills | Overall 6.0 and No band below 5.5 | Overall 6.5 and No band below 6.0 | Overall 6.0 and No band below 5.5 |
| Password Skills Plus | Overall 6.0 and No band below 5.5 | Overall 6.5 and No band below 6.0 | Overall 6.0 and No band below 5.5 |
| LINC Certificate | 7 | 8 | 7 |
| Duolingo Language Test | 115 and above+ with a min. of 95 in each section | 125 and above with a min. of 100 in each section | 115 and above+ with a min. of 95 in each section |
| New English for Academic and Professional Purposes | Successful completion of the program 5 (min 70%) | Successful completion of the program 5 (min 70%) | Successful completion of the program 5 (min 70%) |
| PTE | 54 overall Min 50 in each skill |
60 overall Min 55 in each skill band |
54 overall Min 50 in each skill |
| TOEFL iBT/iBT Home Edition | For tests taken before January 20, 2026 : 78 (no less than 17 per component) For tests taken on January 21, 2026 onwards: 4.0 overall (no less than 3.5 per component) |
For tests taken before January 20, 2026: 86 (no less than 20 per component) For tests taken on January 21, 2026 onwards: 4.5 overall (no less than 4.0 per component) |
For tests taken before January 20, 2026 : 78 (no less than 17 per component) For tests taken on January 21, 2026 onwards: 4.0 overall (no less than 3.5 per component) |
| Academic English Program for University and College Entrance Program (AEPUCE) | Successful Completion | Successful Completion | Successful Completion |
| CELBAN | N/A | N/A | N/A |
| Location | Start Date | Apply Link |
|---|---|---|
| Notre Dame Campus | Jan 04, 2027 | Apply Now |
In this foundational course, students will be introduced to the mechanical, fluid power, and motion control principles essential for mechatronic systems. Students will select industrial components, model parts and assemblies in CAD, construct pneumatic and hydraulic circuits, and configure AC and servo drives. Students will gain experience diagnosing faults, integrating multidisciplinary subsystems into functional work cells, and producing clear technical documentation to support engineering decisions. Through hands-on lab activities, students will develop safe, ethical, and inclusive professional practices while strengthening teamwork and communication skills needed in the automation industry.
In this foundational course, students will follow a roadmap for integrating embedded systems into mechatronic applications from start to finish. After surveying the hardware and software of embedded systems, students will identify mechatronic system requirements and select sensors and actuators. Students will select communications protocols to collect data and then apply control systems and signal processing methods tailored to each mechatronic application. Finally, students will develop strategies for diagnosing faults on embedded systems and apply them during the commissioning of their hands-on project to improve performance, power efficiency, and resource utilization in mechatronic systems.
In this course, students explore the scientific principles that shape how buildings interact with heat, air, moisture, sound, and the surrounding environment. They examine how building science informs codes, regulations, and sustainable design practices, and analyze the effects these systems have on building performance and occupant well-being. Students interpret building behavior and assess environmental impacts by applying concepts from architecture, engineering, and construction. Students will develop a systems-based understanding of how design decisions influence durability, energy efficiency, and environmental responsibility in the building environment.
This foundational course introduces students to Indigenous worldviews, relationships to land, and the living nature of treaties to build respectful and reciprocal engagement with First Nations, Inuit, and Red River Métis communities across social and professional contexts. Building on this relational foundation, students will explore Indigenous histories and present-day realities, situating historical learning within contemporary reconciliation efforts. Through structured reflection, case-based analysis, and guided discussion, students will examine personal, organizational, and societal responsibilities for ethical engagement with Indigenous Communities. This course emphasizes relational understanding, cultural protocols, knowledge governance, and positionality to support informed, reflective, and accountable practice.
In this culminating course, students will apply their mechatronic systems knowledge and skills to address a real-world industry challenge. Students will follow project management practices based on Project Management Institute (PMI) concepts, including project scope, estimation, planning, and scheduling, along with ethical considerations and communication strategies relevant to the industry. Working with an industry partner, students will identify a business need, propose a mechatronics solution, and present a technical report and cost-benefit analysis to company decision makers. Upon approval, students will manage a team of specialists to initiate the implementation and lead organizational changes introduced by the solution. Finally, students will evaluate the impact of their mechatronics solution.
Is a robot the right solution for automating a manufacturing process? Building on their knowledge and experience in advanced manufacturing and mechatronics, students will review various types of robotic systems and their applications. Students will learn to identify inefficient processes and “dirty, dull, or dangerous” tasks. They will examine key performance indicators and analyze the requirements and constraints that guide the selection of a robotic systems solution. Students will also learn how to organize and collaborate with a team of specialists and tradespeople to design, simulate, and deploy a robotic system. Finally, they will explore strategies for predictive maintenance and continuous improvement of the manufacturing process.
This course introduces the fundamentals of Programmable Logic Controllers (PLCs) and their role in industrial automation systems. Students will learn the functions of PLC hardware, input/output addressing, and wiring of digital and analog field devices. Through practical exercises, students develop basic ladder logic programs using standard instructions such as contacts, coils, timers, counters, and comparison operations. Students explore introductory digital and analog control concepts, basic Function Block Diagram (FBD) programming for process applications, and foundational Human-Machine Interface (HMI) design. Students perform PLC commissioning tasks and apply troubleshooting techniques to diagnose and resolve hardware, wiring, and programming issues, preparing them for the design and implementation of entry-level automation and control applications.
In this practical, hands-on course, students will build on their foundational knowledge to explore of Industry 4.0 technologies used in modern manufacturing. Students will work with IoT sensors, PLCs, CNC machines, automated machines, and industrial networks to build connected, data driven systems. Students will secure data flow and protect control systems by applying industrial cybersecurity practices. Using Python and machine learning tools, students will collect and analyze sensor data, evaluate process capability, create predictive models, and support automated decisions. By examining real manufacturing processes, students will identify opportunities for digital integration and gain experience applying smart manufacturing concepts to improve efficiency, quality, and equipment reliability.
In this course, students will leverage prior knowledge and experience to design and integrate industrial mechatronic systems used in automated production environments. Students will define system requirements, evaluate technical feasibility, and develop designs incorporating mechanical, electrical, pneumatic, and control components. Emphasis is placed on subsystem integration, industrial network communication, and development of control solutions using programmable logic controller (PLC) and robotic programming for sequencing, input/output integration, and interaction with sensors and actuators. Students will produce technical documentation, perform testing and troubleshooting, and analyze system data to support reliability and maintenance strategies. Finally, students will analyze the return on investment and examine ethical, environmental, and societal impacts of mechatronic system implementation.
In this degree-level course, students integrate advanced leadership knowledge to analyze and lead organizational change in complex, multi-stakeholder environments. Students critically examine contemporary theories and practices of change leadership, with attention to resistance and ethical responsibility. They engage with current and emerging issues shaping change leadership in the Canadian context, including digital transformation and AI-enabled change, Indigenous perspectives on leadership and relational accountability, data-informed change analytics, and organizational practices relevant to Canada’s social and economic environments. By the end of the course, students demonstrate the capacity to independently apply advanced leadership concepts, communicate with diverse stakeholders, and articulate ethical, evidence-based approaches to leading change in professional settings.
In this foundational course, students develop core skills for designing, evaluating, and communicating research across academic, technical, workplace, and community contexts. They will examine qualitative, quantitative, mixed-method, and Indigenous research methodologies, with emphasis on selecting approaches that align with research purpose, context, and available evidence. Students will explore how research questions are formed; how data and information are gathered, analyzed, and interpreted; and how findings are communicated responsibly. Students will critically evaluate sources, apply methodological reasoning, and consider ethical dimensions as they develop a research methodology for a proposed project relevant to their own field of study.
In this reinforcing writing course, students strengthen their academic writing through inquiry, critical reading, and iterative writing processes that support clear scholarly communication in academic contexts. They critically evaluate sources, summarize, paraphrase, and synthesize complex texts, and integrate evidence to develop coherent academic arguments. Students also build independent research and writing habits while using sources and artificial intelligence (AI) tools ethically and with integrity. The course encourages engagement with varied perspectives and diverse ways of knowing, helping students write with clarity and purpose across disciplines. Through guided practice and reflection, students produce responsible academic writing that prepares them for research and communication tasks in academic and professional contexts.
1. Describe the fundamental principles of mechanical, electrical, pneumatic, and hydraulic components used in mechatronic systems.2. Explain the operation and integration of programmable logic controllers (PLCs) within automated manufacturing environments.3. Apply digital logic and embedded systems programming to solve basic control problems in mechatronic applications.4. Analyze the performance and functionality of automated manufacturing systems using data from sensors, actuators, and control interfaces.5. Apply Industry 4.0 technologies, including artificial intelligence, Internet of Things, and cybersecurity frameworks, to develop secure, interconnected, and data-driven manufacturing systems.6. Design integrated mechatronic systems that combine mechanical, electrical, and software components to meet specified performance criteria.7. Evaluate how industrial robotic systems are designed and integrated in automated production environments, including the use of end-of-arm tooling, safety systems, and peripheral devices.8. Formulate research questions and design, write, and present research proposals to investigate complex automation challenges, synthesize data, and propose evidence-based solutions.9. Collaborate effectively in diverse teams to manage innovation and technology projects, demonstrating leadership and change management skills.10. Apply ethical, culturally grounded, and respectful approaches when engaging with Indigenous communities across social and professional contexts, upholding relational accountability and responsibilities informed by Indigenous histories, worldviews, protocols, and reconciliation frameworks.11. Synthesize insights from a range of interdisciplinary subject areas to address ethical, societal, environmental, and technical challenges in automation and beyond.
Recognition of Prior Learning (RPL) is a process which documents and compares an individual's prior learning gained from prior education, work and life experiences and personal study to the learning outcomes in College courses/programs. For more information, please visit www.rrc.ca/rpl.