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Degree Options:

M.Eng. in Systems & Technology (M.E.S&T)

Systems & Technology

Learn to develop systems that keep the user experience simple as manufacturing, businesses and lives get more complex. If you’re driven to help people live and work to their fullest potential, then create smart, connected system that are rapidly transforming the world.

Current Student Inquiries:

Email:
Phone:
+1 905.525.9140 x 20477
Office:
ETB 509

Overview

Application Deadlines

September 2020 admissions
Online portal opens Nov. 16, 2019

Domestic applicants - July 15, 2020
International applicants - June 1, 2020

International applicants are encouraged to apply early as the visa application process may take 3 months.

Full-time Tuition & Fees (2019-2020)
Canadian: $3,240.00 CAD each term
International: $11,000 CAD each term 

Full-time Tuition & Fees (2020-2021)
Canadian: $3,240.00 CAD each term
International: $11,550 CAD each term

Refer to the Apply section for more details.

Students enrolled in multiple academic years ( e.g. January admission) pay the fees corresponding to these years.

You see smart, connected systems disrupting the places we work, the way we live, how we connect and play, even our personal health – and you want to build your career creating these systems!

This master’s program will position you for a career in developing and managing these cyber-physical systems that leverage software, hardware and real-time data to make our lives easier and more efficient.

As a student in the MES&T program, you will have opportunities to:

  • Build expertise in designing and optimizing systems using advanced technologies, including Artificial Intelligence, Big Data, Virtual Reality/Augmented Reality, robotics, human-machine interfaces, IoT, and other components of cyber-physical systems.
  • Develop skills to communicate and present your concepts and prototypes to team members and stakeholders.
  • Adopt a design thinking approach to produce user-oriented, innovative systems.

Is this program for you?

If you believe that intelligent systems comprised of AI applications and components connected via networks (or the cloud) are the future, this is the program for you. You’ll find three unique streams to choose from.

  • Automation and Smart Systems - build your experience with automatic controls, robotics, or data science
  • Automotive - work on automotive vehicles and their systems (e.g. autonomous driving) and forever change human transportation
  • Digital Manufacturing – Work on advanced tools for managing production systems, monitoring their operation, optimizing supply chain and production operations as well as being able to apply machine learning and AI in manufacturing systems.

This is program is particularly well suited for applicants with backgrounds in Electrical, Software and Mechatronics Engineering, Computer Science, Physics, Mathematics, and Automation Systems. Students from other engineering and science disciples who are comfortable with writing solution procedures as software code, and who wish to refocus their careers on automation or data science, are also invited to apply.

If your interests are specific to manufacturing processes and technology, you may also want to look at our Master of Engineering in Manufacturing Engineering program. 

Apply

Deadlines

September 2020 admission 

Online portal opened Nov. 16, 2019
Domestic applicants - July 15, 2020
International applicants - June 1, 2020

International applicants are encouraged to apply early as the visa application process may take 3 months.

Apply Now

Application Checklist

Step 1: Click on the link above to open your application with McMaster University

Step 2: Pay the application fee ($110)

Step 3: Register for your online interview on Kira Talent along with payment ($60)

Step 3: Gather the required documents

  • Your current resume or CV including academic and professional experience
  • Your clearly written Statement of Interest (This is a letter explaining your interest in the program)
  • Recent IELTS or TOEFL scores (within the last 2 years) required for international students. Minimum IELTS score 6.5 overall (minimum requirement 5.5 in reading and writing and 6 in listening and speaking). Minimum TOEFL score is 88. Note that if your medium of instruction was English and this is documented on your transcripts, you do not need to submit an ELP test.
  • Transcripts from all post secondary institutions you have attended
  • Complete Contact information for 2 Academic References (to be included in the on-line application). Only institutional (i.e. university) email addresses will be accepted as credible references
  • Only submit your application once all the above documents have been uploaded and you have provided contact information for your references

Step 4: Complete your online interview on Kira Talent after you have submitted your application. (Step 3 must be completed in full.)

Step 5: You will be contacted if there are any issues with your application. Please do not email about the status of your application. You will be contacted with a decision whether your application is accepted or rejected.

Step 6: Once you receive an offer and have accepted it, you are required to pay a deposit of $500. (This is non-refundable if you withdraw your acceptance or do not attend.)

*No additional documents should be uploaded as they will not be reviewed*

**Please note that applications cannot be reviewed until all documents have been uploaded, the referees have responded and online interview has been completed. All applications must be completed before the international or domestic deadline to be considered.**

Tuition & Fees

Full-time Tuition & Fees (2019-2020)
Canadian: $3,240.00 CAD for each term*
International: $11,000 CAD for each term*

Full-time Tuition & Fees (2020-2021) 
Canadian: $3,240.00 CAD for each term*
International: $11,550 CAD for each term*

*The program requires 3 terms of full-time study.

Part-time Tuition & Fees (2019-2020)
Canadian: $1,800.00 CAD for each term
The option of part-time study is only open to domestic students

Part-time Tuition & Fees (2020-2021)
Canadian: $1,800.00 CAD for each term
The option of part-time study is only open to domestic students

Other Fees:

  • Application Fee: $110.00
  • Online Interview Fee (Kira Talent): $60.00
  • Non-refundable deposit upon acceptance: $500.00

IELTS/TOEFL: International students are required to present a minimum IELTS score of 6.5 overall (minimum requirements 5.5 in reading and writing and 6 in listening and speaking). Minimum TOEFL score is 88.

Admission Requirements

In addition to the general requirements for entry into a graduate program in Engineering, students must hold a four-year engineering undergraduate degree or equivalent, with at least a B- average (equivalent to a McMaster 7.0 GPA out of 12) in the final year in all courses in the discipline, or relating to the discipline, in which the applicant proposes to do graduate work.

Students with a degree in Science, Technology or Mathematics will also be considered.

Candidates may be enrolled on a full- or part-time basis. Full-time students will complete the degree in twelve consecutive months of study. Students are admitted for September. Part-time students will normally be expected to complete the program in 28 months.

McMaster students may receive advanced standing for up to two courses (note that a maximum of two 600-level courses can count towards a SEPT graduate program) with the approval of the Associate Dean of Graduate Studies.

Automation & Smart Systems

Automation and Smart Systems enables graduates to design and implement automation systems, monitor real time operations, and apply data science methods to analyze and improve performance of manufacturing systems. Technical electives include the following courses:

There are two pathways towards the degree:

  • 6 courses + project
    • 1 required course
    • 1 professional development course
    • 3 to 4 core courses
    • 0 to 1 elective course
  • 9 courses
    • 1 required course
    • 1 to 3 professional development courses
    • 4 to 7 core courses
    • 0 to 3 elective courses

Professional Development courses, common to all streams in MEng S&T, are listed below:

  • Engineering Communications
  • Practical Project Management for Today’s Business Environment
  • Leadership for Innovation
  • Design Thinking

Required:

  • Cyber-physical systems

Core courses:

  • ioT and industrial ioTsystems
  • Computer security
  • Advanced robotics
  • Linear control systems
  • Multivariate Statistical Methods for Big Data Analysis and Process Improvement
  • Artificial Intelligence and Machine Learning Fundamentals
  • Machine Learning : Classification Models
  • Neural Networks and Development Tools
  • Deep Learning and Its Applications
  • Introduction to Big Data Systems and Applications
  • Data Analytics and Big Data
  • Data Mining

Recommended elective courses:

  • Industrial components, networks and interoperability
  • Cloud Computing
  • Data Analytics, Machine Learning and AI on Cloud Platforms
  • Augmented reality, virtual reality, mixed reality
  • Sensors and actuators
  • Industrial Automation

You may also select any graduate level courses offered by the Faculty of Engineering as electives with approval of the academic advisor.

W Booth School of Engineering Practice and Technology strives to offer a full complement of courses every academic year; some of the course listed here are currently being reviewed. Their offering is subject to the pending internal approval.

Automotive

Automotive stream prepares graduates for careers in developing autonomous vehicle systems, transportation smart systems, and more. 

There are two pathways towards the degree:

  • 6 courses + project
    • 1 required course
    • 1 professional development course
    • 3 to 4 core courses
    • 0 to 1 elective course
  • 9 courses
    • 1 required course
    • 1 to 3 professional development courses
    • 4 to 7 core courses
    • 0 to 3 elective courses

Professional Development courses, common to all streams in MEng S&T, are listed below:

  • Engineering Communications
  • Practical Project Management for Today’s Business Environment
  • Leadership for Innovation
  • Design Thinking

 Required:

  • Cyber-physical systems

Core courses:

  • Vehicle dynamics
  • Intelligent transportation systems
  • Active safety design
  • Internal Combustion engines
  • Electric drive systems
  • E-powertrain components design
  • Issues in vehicle production

Recommended electives courses:

  • Solids modelling
  • Augmented reality, virtual reality, mixed reality
  • Sensors and actuators
  • Advanced robotics

You may also select any graduate level courses offered by the Faculty of Engineering as electives with approval of the academic advisor.

W Booth School of Engineering Practice and Technology strives to offer a full complement of courses every academic year; some of the course listed here are currently being reviewed. Their offering is subject to the pending internal approval.

Digital Manufacturing

The fourth industrial revolution (Industry 4.0) is changing the manufacturing world by adding data analytics, AI, and cyber twins of the manufacturing facilities as essential tools for decision making.  Concentration in Digital Manufacturing is for students who want to focus on the use of computers and manufacturing.  If you are interested in concentrating your studies in this area, below is the list of optional courses we recommend you select.

There are 2 pathways towards the degree:

  • 6 courses + project
    • 1 required course
    • 1 professional development course
    • 3 to 4 core courses
    • 0 to 1 elective course
  • 9 courses
    • 1 required course
    • 1 to 3 professional development courses
    • 4 to 7 core courses
    • 0 to 3 elective courses

Professional Development courses, common to all streams in MEng S&T, are listed below:

  • Engineering Communications
  • Practical Project Management for Today’s Business Environment
  • Leadership for Innovation
  • Design Thinking

 Required:

  • Cyber-physical systems

Core courses

  • Additive Manufacturing
  • ioT and industrial ioTsystems
  • Sensors and actuators
  • Industrial components, networks and interoperability
  • Advanced robotics
  • Industrial Automation

Recommended elective courses:

  • Artificial Intelligence and Machine Learning Fundamentals
  • Machine Learning : Classification Models
  • Neural Networks and Development Tools
  • Deep Learning and Its Applications
  • Multivariate Statistical Methods for Big Data Analysis and Process Improvement
  • CIM and Flexible Manufacturing

You may also select any graduate level courses offered by the Faculty of Engineering as electives with approval of the academic advisor.

W Booth School of Engineering Practice and Technology strives to offer a full complement of courses every academic year; some of the course listed here are currently being reviewed. Their offering is subject to the pending internal approval.

Facilities

The Learning Factory (ETB B107)

This unique facility offers students the opportunity to design their own projects and experiments in a laboratory setting. The Learning Factory is equipped with leading manufacturing technologies. Local networks allow students to capture and analyze data collected using a variety of sensors and feedback from automation systems. Students will have opportunties to use metal 3D-printing, robotics, a variety of Programmable Logic Controllers, and more.

 

Rapid Prototyping lab (ETB 122)

The lab is equipped with 3D printers and machining equipment. You will develop your skills and comfort working with these tools to make your design vision into an operational prototype in metal or plastic.

Tools and equipment accessible in the lab include:

  • 3D Metal Printers
  • CNC lathe and router
  • PCB soldering station
  • 3D Polymer Printers
  • Laser cutter for plastic sheets
  • Bench scale tools including a drill press, band saw, etc.

 

MARC Facility (McMaster Automotive Resource Centre, Located at 200 Longwood Ave.)

Students in the M.Eng. Manufacturing Engineering program can access this facility by appointment. The space can be used for prototyping in course and project work. The SEP 762 Prototyping tools and methods course uses the MARC facility.

Tools and equipment accessible in the lab include:

  • CNC lathe and router
  • PCB soldering station
  • 3D Polymer Printers
  • Bench scale tools including a drill press, band saw, etc.

 

Workstation Labs for CAD Design (MARC 266)

Houses workstation computers that can be accessed for CAD design and modelling simulation. Access is based on scheduled availability.

 

 

 

CAD/CAM computing network

Accessible within the ETB 524 studio space. This network supports engineering computing and 3D prototyping via your laptop. This allows you to use your laptop as an interface, while outsourcing the "heavy lifting" of highly detailed design work to a mainframe server.

Co-op and Experiential Learning

Co-op is an optional component of the Master of Engineering Systems & Technology program. McMaster established its graduate student co-op program in 2017, seeing it grow rapidly. Employers are quickly embracing it as a mechanism for recruiting talent and expertise.

There are several steps you must complete before you begin applying to co-op positions. Firstly, ensure you enrol in the Graduate Co-op Prep Course ENG 701 in September. You will also need approval from your program chairperson before accepting a co-op placement. Speak with Co-op and Career Services if you have any questions.

If you intend to find a co-op placement remember that it is competitive, much like any job search. Start early and put in consistent effort throughout the school year to make connections and grow your network.

Here are some tips for finding your co-op position:

  • Attend as many career events throughout the school year – and try to speak with the employers who attend. Events are posted in OSCAR plus and require you to register as an attendee.
  • Search OSCAR plus for posted co-op opportunities. Hundreds of openings are offered by employers in a year and some of them might be right for you. Apply to any that look like a good fit – make sure you keep your resume current so you can apply as they’re posted.
  • Find opportunities to network with professionals in your field. Look for networking events, become active on LinkedIn, make meaningful connections and schedule information interviews. Whenever you meet someone new, ask them if they can recommend anyone else you should speak with.
  • Reach out to your existing network. This could be family, friends from your time in undergraduate studies who are now employed, or really anyone you have an established relationship with who works for a company that operates in your field.

Employers

If you’re an employer interested in hiring graduate students for a co-op term connect with our co-op office to discuss listing your open opportunities.