Engineering: Autonomy and Robotics, MEng
for the degree of Master of Engineering in Engineering, Autonomy and Robotics Concentration
The Master of Engineering (MEng) in Engineering, Autonomy and Robotics Concentration is a professionally oriented degree program for students whose primary intent is a career in industry or government. This degree differs from the Master of Science (MS) degree in that it is a professionally oriented master's degree that is not a pathway to a doctoral program. The Major in Engineering for the M.Eng. degree requires the selection of an interdisciplinary concentration, which must be identified at the time of application.
Available concentrations are:
for the degree of Master of Engineering in Engineering, Autonomy and Robotics Concentration
For additional details and requirements, refer to the department's website and the Graduate College Handbook.
| Code | Title | Hours |
|---|---|---|
| Core Coursework | 12 | |
| Introduction to Robotics | ||
| Principles of Safe Autonomy | ||
| Autonomous Vehicle System Engineering | ||
| Select one of the following: | 4 | |
Control and Dynamics | ||
| Control Systems | ||
| Robot Dynamics and Control | ||
Optimization | ||
| Optimal Aerospace Systems | ||
| Introduction to Optimization | ||
Hardware Systems | ||
| Computer-Aided Mfg Systems | ||
Artificial Intelligence and Perception | ||
| Artificial Intelligence | ||
| Computer Vision | ||
| Topics in Signal Processing | ||
Design and Applications | ||
| User Interface Design | ||
| Professional Development Course | 4 | |
| Capstone Project | ||
| Professional Practicum | ||
Other advisor-approved courses. | ||
| Additional Coursework | ||
| Electives may be selected from the course list, with advisor approval. This list includes courses in Control and Dynamics, Optimization, Hardware Systems, Artificial Intelligence and Perception, Design and Applications. | 12 | |
| Total Hours | 32 | |
Other Requirements and Conditions (may overlap)
| A minimum of 20 credit hours must be taken from the University of Illinois Urbana-Champaign campus. | |
| A minimum of 12 500-level credit hours. ENG 572 and ENG 573 may not be used to satisfy this requirement. | |
| No courses used to fulfill any degree requirement may be taken using the "Credit/No Credit" option. | |
| Minimum GPA: 3.0 |
Elective Course List
Enrollment in these courses depends on course availability.
| Code | Title | Hours |
|---|---|---|
| ARTIFICIAL INTELLIGENCE & PERCEPTION | ||
| CS 440/ECE 448 | Artificial Intelligence | 3 or 4 |
| CS 446/ECE 449 | Machine Learning | 3 or 4 |
| CS 447 | Natural Language Processing | 3 or 4 |
| CS 543 | Computer Vision | 4 |
| CS 546 | Advanced Topics in Natural Language Processing | 4 |
| ECE 534 | Random Processes | 4 |
| ECE 543 | Statistical Learning Theory | 4 |
| ECE 561 | Statistical Inference for Engineers and Data Scientists | 4 |
| ECE 566 | Computational Inference and Learning | 4 |
| IE 534/CS 547 | Deep Learning | 4 |
| SE 524 | Data-Based Systems Modeling | 4 |
| CONTROL & DYNAMICS | ||
| AE 454 | Systems Dynamics & Control | 4 |
| AE 554/TAM 516 | Dynamical Systems Theory | 4 |
| AE 555/SE 521 | Multivariable Control Design | 4 |
| AE 556 | Robust Control | 4 |
| ECE 486 | Control Systems | 4 |
| ECE 515/ME 540 | Control System Theory & Design | 4 |
| ECE 517 | Nonlinear & Adaptive Control | 4 |
| ECE 528/ME 546/SE 520 | Analysis of Nonlinear Systems | 4 |
| ECE 553 | Optimum Control Systems | 4 |
| ECE 555 | Control of Stochastic Systems | 4 |
| ECE 557 | Geometric Control Theory | 4 |
| ECE 568 | Model & Cntrl Electromech Syst | 4 |
| ECE 573 | Power System Control | 4 |
| ME 460 | Industrial Control Systems | 4 |
| ME 561 | Convex Methods in Control | 4 |
| ME 562 | Robust Adaptive Control | 4 |
| SE 422/ECE 489/ME 446 | Robot Dynamics and Control | 4 |
| SE 424 | State Space Design for Control | 3 |
| SE 525 | Control of Complex Systems | 4 |
| TAM 412 | Intermediate Dynamics | 4 |
| DESIGN & APPLICATIONS | ||
| CS 465 | User Interface Design | 4 |
| CS 565 | Human-Computer Interaction | 4 |
| SE 400 | Engineering Law | 3 or 4 |
| HARDWARE SYSTEMS | ||
| CS 431 | Embedded Systems | 3 or 4 |
| ECE 437 | Sensors and Instrumentation | 3 |
| ME 451 | Computer-Aided Mfg Systems | 3 or 4 |
| ME 452 | Num Control of Mfg Processes | 3 or 4 |
| ME 455 | Micromanufacturing Process & Automation | 4 |
| ME 461 | Computer Cntrl of Mech Systems | 0 to 4 |
| SE 420 | Digital Control Systems | 4 |
| SE 423 | Mechatronics | 3 |
| OPTIMIZATION | ||
| AE 504 | Optimal Aerospace Systems | 4 |
| CS 544 | Optimiz in Computer Vision | 4 |
| ECE 490 | Introduction to Optimization | 4 |
| ECE 580 | Optimiz by Vector Space Methds | 4 |
| IE 411 | Optimization of Large Systems | 3 or 4 |
| IE 519/CS 586 | Combinatorial Optimization | 4 |
| IE 521 | Convex Optimization | 4 |
| SOFTWARE SYSTEMS | ||
| CS 424 | Real-Time Systems | 3 or 4 |
| CS 425/ECE 428 | Distributed Systems | 3 or 4 |
| CS 427/CSE 426 | Software Engineering I | 3 or 4 |
| CS 428/CSE 429 | Software Engineering II | 3 or 4 |
| CS/ECE 438 | Communication Networks | 3 or 4 |
| CS 461/ECE 422 | Computer Security I | 4 |
| CS 476 | Program Verification | 3 or 4 |
| CS 477/ECE 478/CSE 408 | Formal Software Development Methods | 3 or 4 |
| CS 484 | Parallel Programming | 3 or 4 |
| ECE 408 | Applied Parallel Programming | 4 |
for the degree of Master of Engineering in Engineering, Autonomy and Robotics Concentration
The learning objectives of the proposed Concentration in Autonomy and Robotics include professionally-oriented competence in the application of software systems, electronics, tools for algorithm design and machine learning, and physics-based dynamics, control and sensor systems to the integration of autonomy in robotic systems.
for the degree of Master of Engineering in Engineering, Autonomy and Robotics Concentration
Admission
Students with bachelor's or master's degrees in engineering or related fields will be considered for admission if they have a grade point average of at least 3.00 (A = 4.00) for the last two years of undergraduate study. Admissions are considered for the fall term only. Full details of admission requirements are on the Autonomy and Robotics concentration website.
All applicants whose native language is not English are required to submit TOEFL or International English Language Testing System (IELTS) scores as evidence of English proficiency. Minimum admission requirements are set by the Graduate College.
Financial Aid
Students in concentrations under the MEng in Engineering major are not eligible for Board of Trustees (BOT) tuition-waiver generating assistantships at the University of Illinois.
for the degree of Master of Engineering in Engineering, Autonomy and Robotics Concentration
Autonomy MEng Program
Program Director: Sayan Mitra
Autonomy Center website
Admissions Contact: Laura Reiter
403-A2 Engineering Hall, 1308 W Green St, Urbana, Illinois 61801
(217) 300-6574
Advising Contact: Pat Grenda
1308 W. Main Street, Urbana, Illinois 61801
(217) 265-6265
Grainger College of Engineering
Grainger College of Engineering website
Admissions
Overview of Autonomy and Robotics MEng Admissions & Requirements
Graduate College Admissions & Requirements