Master of Engineering in Autonomy & Robotics
Online
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Apr 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Introduction
The Master of Engineering in Engineering with a Concentration in Autonomy and Robotics program is a fast-paced, one-year, professionally oriented curriculum that aims to provide students with solid foundational and operational knowledge in the integration of principles of autonomy and robotics across a wide range of enterprises including the aerospace, automotive, agriculture, medical, construction, and entertainment industries. Students will learn to work with components of software systems, electronics, tools for algorithm design and machine learning, and physics-based dynamics, control and sensor systems.
The program's core coursework includes interdisciplinary project experiences that present key topics in the context of practical applications. Students can customize their degree by choosing from a rich set of elective courses from several relevant disciplinary domains.
Grainger Engineering provides opportunities to engage with industry partners through a professional development capstone project or practicum, focused on skills relevant for industry careers.
Admissions
Career Opportunities
Applications include self-driving cars, delivery drones, remote and robotic surgical tools, micro-power grids, Internet-connected appliances, digital manufacturing equipment, and atmospheric control systems. This rapid transition requires engineers and computer scientists with cross-cutting training who can transform advances in digital hardware, communication networks, additive manufacturing, computational mechanics, and artificial intelligence into physical and information-system technologies.
Careers in Autonomy & Robotics
The global robotics market is expected to grow from USD 37.81 Billion in 2017 to USD 158.21 Billion by 2025 at a compound annual growth rate of 19.11% (Fior Markets, 2020.)
Here are just a few potential career paths in the robotics and automation industry.
Control Systems Engineering
- Senior systems engineer
- IT manager
- Principal electrical engineer/systems engineer
- Aeronautical engineer
- Project engineer
Robotics
- Design Engineer
- Software engineer
- User experience (UX) designer
- Data scientist
- Machine learning engineer
Computer Vision
- Autonomous vehicle engineer
- Computer programmer
- Data analyst/data scientist
- Predictive modeler
- Machine learning engineer
Students in the Autonomy & Robotics program will learn about the complexities of the software systems needed to run autonomous systems; the mathematics, control, and information theory behind algorithm design; the physics needed to model robots and mobile vehicles; and the technologies for making and modifying physical prototypes.
Students will have the opportunity to further specialize and concentrate their knowledge in one or more of these areas to which all will be introduced and exposed. This combination of breath and depth will produce engineers able to contribute immediately to a specific area once employed, but will also put them in a unique position to pivot and learn other areas as required.
Scholarships and Funding
The Master of Engineering in Autonomy & Robotics is a self-funded program where students are responsible for paying their tuition and fees. Students in this program are not eligible for Board of Trustee (BOT) tuition waiver-generating assistantships at the University of Illinois.
Curriculum
The program is designed as a unique discovery experience, offering greater technical depth than is possible in an undergraduate program, while providing the tools you'll need to successfully work within multidisciplinary teams. The coursework provides opportunities to become proficient within your technical discipline at the graduate level, and the background to become an effective manager or supervisor in an autonomy and robotics field.
Students need to complete the following coursework requirements:
- Minimum of 32 credit hours comprised of 16 hours of core Autonomy and Robotics coursework.
- 12 hours of elective coursework
- 4 hours of professional development (capstone project)
Autonomy and Robotics Curriculum
Core Coursework
- Introduction to Robotics
- Principles of Safe Autonomy
- Autonomous Vehicle System Engineering
Control and Dynamics
- Control Systems
- Robot Dynamics and Control
Optimization
- Optimal Aerospace Systems
- Introduction to Optimization
Hardware Systems
- Computer-Aided Mfg Systems
Artificial Intelligence & Perception
- Artificial Intelligence
- Computer Vision
- Topics in Signal Processing
Design & Applications
- User Interface Design
Program Leaders
English Language Requirements
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