Online Master of Engineering in Robotics & Intelligent Autonomous Systems
Robotics and intelligent autonomous systems are significant factors in increasing efficiencies in manufacturing, improving supply chains and enhancing quality of life in our homes. Because these technologies are evolving at a rapid pace, it is important to keep knowledge and skills current and to learn strategies for managing the systems and those who use design and use them. Earning a Master of Engineering in Robotics & Intelligent Autonomous Systems will set you apart in a rapidly growing industry.
What is MEng in Robotics & Intelligent Autonomous Systems?
The Master of Engineering is an industry focused degree that combines technical mastery with professional skills. The Robotics & Intelligent Autonomous Systems engineering program provides training on advanced intelligent hardware devices and software so that individuals can design sophisticated autonomous robotic devices whose capabilities far surpass older purely electro-mechanical automation systems. Emphasis is placed on making these systems reliable, safe, and secure.
Industry 4.0 is an evolution toward inter-connectivity, automation, machine learning, and decisions based on real-time data acquisition. It is specifically designed to incorporate cutting-edge technical skills in the areas of big data, sensors, AI/machine learning, additive manufacturing (3-D printing), and cyber-security. UC’s Online Master of Engineering in Robotics & Intelligent Autonomous Systems program infuses Industry 4.0 into the curriculum to ensure graduates are equipped for the future of engineering.
Master of Engineering in Robotics & Intelligent Autonomous Systems Program Highlights
High Quality Education
At the University of Cincinnati Online, our goal is to put you in a position to be a leader within the ever-changing robotics and autonomous systems engineering industry by providing a quality education.
This online program will provide you specialized training in a number of disciplines, including computer science, electrical engineering, mechanical engineering, systems engineering, and project management. You will be exposed to a broad set of topics to innovate and envision new systems, while developing skills needed to build the reliable, safe, secure, and trusted systems of the future.
Flexibility
- 100% online
- Easy to transfer credits
- Enroll in the spring, summer, or fall semesters
- All courses led by faculty with direct industry experience
- Financial aid available
- The program can be completed in as few as 18 months
Support from Application through Graduation
At UC, you’ll have a full support team behind you:
Enrollment Services Advisor: Your go-to resource during the application process
Student Success Coordinator: Helping you prepare for classes and stay on track
Access to Resources: Access to university resources that will support you through your program including online learning expectations and resources, health and wellness resources, and academic support
The Master of Engineering in Robotics & Intelligent Autonomous Systems requires the student to successfully complete a minimum of 30 semester credit hours of specific coursework.
| Course | Title/Description | Credit |
|---|---|---|
| EECE6032 | Software Testing and Quality Assurance Fundamentals of software quality, quality assurance, verification and validation perspectives. Software testing types and concepts,test planning and management, software inspection.Formal methods, quantifiable improvement, software reliability,and global software engineering. |
3 |
| ENGR6014 | Engineering Project Management The course is appropriate for all engineering and technology disciplines. Program objectives common to many disciplines that are covered in the courseinclude: Ability to lead engineering projects, Ability to function effectively on a multi-disciplinary team, Ability to use skills necessary for engineering practice. The course covers elements of project management including: Safety, Client satisfaction, Financial success, Achieving project objectives, Regulatory compliance, Organization. Developing project proposals. Contracts. Project management techniques and project quality control. |
3 |
| ENGR6025 | Lean Six Sigma In an attempt to become more competitive, industry is looking for individuals that understand how to both problem solve and eliminate waste within an organization. Although lean six-sigma is associated with manufacturing, the principles can also be applied to any process, eliminating the 8 types of waste: • Defects • Overproduction • Waiting • Transportation • Inventory • Extra processing • Under Utilized talent • Motion The course will be project based and utilize lectures and various case studies to demonstrate the application of principles. |
3 |
| ENGR6032 | Industry 4.0 Domains of Knowledge Industry 4.0 describes the evolution of industry toward inter-connectivity, automation, machine learning, and basing decisions on real-time data acquisition. The course provides students a broad understanding of the industrial internet of things (IIOT) which encompasses physical production and operations with smart digital technology, machine learning, and big data analysis to create a connected ecosystem for organizations that focus on manufacturing and supply chain management. |
3 |
| MECH6074 | Quality Control Examines the processes and the techniques used to ensure quality of an item, a system, a process, oran engineering endeavor. The topics of total quality management, statistical process control, and quality systems are explored. Also, the historical development and current trends in quality are examined. |
3 |
| Course | Title/Description | Credit |
|---|---|---|
| ENGR6010 | Effectiveness in Technical Organizations This course examines the non-technical factors that enable engineers and other technical professionals to maximize their contribution to organizational effectiveness. The course covers communication processes and impediments to effective communication including written communication, presentations, and meeting facilitation. Models of motivation as regards technical professionals are presented and their application to the work setting are examined. Leadership models and the interaction of leaders and followers are also presented. Conflict management and appropriate methods for constructively dealing with this are discussed. Students develop personal development plans for continued learning and performance improvement. |
3 |
| ENGR6045 | Interdisciplinary Innovation for Engineers Interdisciplinary Innovation for Engineers provides students in technical disciplines a practical and focused set of innovation competencies and processes that are needed to add high-order value to all organizations in a dynamic economy. This interdisciplinary course will enable students to develop foundational attitudes, skills, and knowledge for both core business and engineering innovation functions. This course is designed as a practical, systems-oriented, meaningful experience for learning future-oriented competencies to contribute to all types of organizations while accelerating career enhancement. |
3 |
Take a combination of 7 courses from the required and RIAS electives.
| Course | Title/Description | Credit |
|---|---|---|
| MECH6031 | Introduction to Robotics The course introduces students to the fundamentalsand technological aspects of robotics. It presentsthe industrial and advanced applications of robot manipulators and wheeled mobile robots. It concerns the theory of manipulator structures including kinematics, statics and trajectory panning, and the technology of robot actuators, sensors and control units. |
3 |
| MECH6032 | Robot Control and Design The course deals with the advanced aspects of robotics. It concerns dynamics and motion control of robot manipulators, interaction with the environment using exteroceptive sensory data (force and vision), wheeled mobile robots and motion planning. |
3 |
| AEEM6117 | Intelligent Robotics The course consists of two major parts. The first part is an introduction of the fundamental theory and algorithms of robot dynamics and control, which is a foundation for design, analysis and operation of robots. The second part introduces topics of intelligent control of robotic systems, which reflects the cutting-edge research activities in the field of robotics. An interesting project involving both hardware and software regarding multi-robot intelligent control will be assigned and completed throughout the course. |
3 |
| Course | Title/Description | Credit |
|---|---|---|
| CS6101 | Introduction to Applied Artificial Intelligence and Machine Learning Tools* This course is designed for professionals who already have basic knowledge of Python programming and basic algorithms, but are looking to refresh their knowledge and expand their hands-on skills on recent Machine Learning tools. Students will be introduced to popular AI techniques conceptually and will learn to evaluate the performance of the algorithms themselves, taking advantage of the latest tools available. Furthermore, they will learn how to adapt and customize the algorithms on new problems reviewing examples. Supervised learning techniques (regression, classification, neural networks and SVM), unsupervised learning techniques (clustering, SOM, PCA) and anomaly detection algorithms will be covered. *By Permission Only |
3 |
| EECE6005 | Intelligent Industrial Controllers Study the current technology and use of intelligent industrial controllers utilized in electric energy, manufacturing, material handling / processing, mass transit, and other industrial plants. Selection and programming of Programmable Automation Controllers (PACs), Programmable Logic Controllers (PLCs), and Distributed Control Systems (DACs) are covered. |
3 |
| EECE6020 | Electromagnetic Energy Conversion Introduction to methods for analysis of electromagnetic devices under transient and repetitive steady-state conditions in electric energy conversion systems. |
3 |
| ENGR6014 | Engineering Project Management The course is appropriate for all engineering and technology disciplines. Program objectives common to many disciplines that are covered in the courseinclude: Ability to lead engineering projects, Ability to function effectively on a multi-disciplinary team, Ability to use skills necessary for engineering practice. The course covers elements of project management including: Safety, Client satisfaction, Financial success, Achieving project objectives, Regulatory compliance, Organization. Developing project proposals. Contracts. Project management techniques and project quality control. |
3 |
| ENGR6025 | Lean Six Sigma In an attempt to become more competitive, industry is looking for individuals that understand how to both problem solve and eliminate waste within an organization. Although lean six-sigma is associated with manufacturing, the principles can also be applied to any process, eliminating the 8 types of waste: • Defects The course will be project based and utilize lectures and various case studies to demonstrate the application of principles. |
3 |
| ENGR6045 | Interdisciplinary Innovation for Engineers Interdisciplinary Innovation for Engineers provides students in technical disciplines a practical and focused set of innovation competencies and processes that are needed to add high-order value to all organizations in a dynamic economy. This interdisciplinary course will enable students to develop foundational attitudes, skills, and knowledge for both core business and engineering innovation functions. This course is designed as a practical, systems-oriented, meaningful experience for learning future-oriented competencies to contribute to all types of organizations while accelerating career enhancement. |
3 |
| MECH6074 | Quality Control Examines the processes and the techniques used to ensure quality of an item, a system, a process, oran engineering endeavor. The topics of total quality management, statistical process control, and quality systems are explored. Also, the historical development and current trends in quality are examined. |
3 |
| Course | Title/Description | Credit |
|---|---|---|
| AEEM8060 | Master of Engineering Capstone Project Students perform individual projects under supervision of program faculty in partial fulfillment of the Master of Engineering degree |
3 |
Admission into the University of Cincinnati’s Master of Engineering in Robotics & Intelligent Autonomous Systems online program is selective and based on meeting the requirements outlined below.
Applications for the online program are reviewed in a manner that carefully considers all items in your application portfolio. Our admissions office is happy to work with you to answer any questions you may have and help determine your eligibility.
Contact an Enrollment Services Advisor or email onlineenrollment@uc.edu.
Prerequisites
- Applicants must possess an engineering bachelors’ degree from a regionally and ABET accredited college/university, preferably in the area of Electrical/Mechanical/Robotics Engineering.
- Applicants with a background in the following areas may also be considered:
- Similar Engineering Disciplines
- Physical Science
- Overall minimum undergraduate GPA of 3.0 on a 4.0 scale (recommended)
- GRE- GRE scores are required if:
- Applicant’s bachelor’s degree is from a non-ABET accredited program.
- Applicant’s bachelor’s GPA is below a 3.0 on a 4.0 scale.
- Applicant is an International Student with a bachelor’s degree earned outside of the United States.
Admission Materials
- One Letter of Recommendation
- Statement of Purpose
- Resume
- Unofficial Transcripts
- International students – English Proficiency Test: TOEFL (minimum 92) or IELTS (minimum 6.5)
Complete the online application and submit the application fee.
Standard Application Fees:
- $65.00 for domestic applicants to most degree programs
- $70.00 for international applicants to most degree programs
- $20.00 for domestic applicants to Graduate Certificates
- $25.00 for international applicants to Graduate Certificates
- Application fees are waived for Summer 2026 applications submitted by March 1st, 2026
- Application fees are waived for Fall 2026 applications submitted by July 1st, 2026
- Fee waivers are automatically applied for applicants who:
- are currently serving in the US armed forces
- are veterans of the US armed forces
All applicants are required to upload unofficial transcripts during the application process, showing all undergraduate and graduate course work completed, including degrees granted and dates of conferral.
Official transcripts are not required until the student has received and accepted an offer of admission from the university. Once the offer has been confirmed, the student must submit official transcripts.
Students who have received degrees from the University of Cincinnati do not need to submit official paper copies of their UC transcripts.
Transcripts can be submitted electronically or by mail. To see if your transcript(s) can be ordered electronically, visit the links below and search for your previous school(s).
- Parchment
- Please select “University of Cincinnati – Main Campus” as the recipient of your transcript.
- National Student Clearinghouse
- Please have your transcript sent directly to admissions@uc.edu.
If you do not see your past school(s) listed on either site, please contact the school(s) directly. Then, mail your sealed, unopened, official transcripts to:
Please mail sealed, unopened, official transcripts to:
University of Cincinnati
Office of Admissions
PO Box 210091
Cincinnati, Ohio 45221-0091
Transfer Credits
You may transfer up to one third of the credits of the program, about 9 credits credit hours of graduate courses from a regionally accredited college or university. These credits must have been earned within the last five years prior to admission and be approved by the program faculty.
Transferring from one graduate program to join another at UC, all UC graduate credits taken as part of the incomplete program or under a certificate are eligible to use to fulfill requirements in the new program, based on faculty evaluation of the equivalence to courses in the new curriculum and program approval.
One letter of recommendation is required.
- Recommendations should come from individuals who can attest to your academic and professional skills. References from current and former employers are always desirable. Additionally, recommendations from contacts within academia or professional organizations you’re involved in are also desirable.
- The writing letter should explain who they are, their relationship to the applicant, and what they know of the applicant’s academic and professional abilities.
- Letters of recommendation from family, friends or current students are not accepted.
- Recommendations are submitted by the recommender themselves; they cannot be completed or submitted by the applicant or another party on behalf of the reference.
Professional Resume:
A resume relevant to academic and professional data. It should include the applicant’s name; phone; email; colleges attended with degrees, dates conferred, and grade point average; employment history; professional experience; present employer; and names of references.
Curriculum Vitae:
A detailed look at the applicant’s career path, including achievements, publications, and awards. Including comprehensive information about candidate’s research background, presentations, publications, committee memberships and other experience of an academic, clinical, or scientific nature.
Tell us how you think the MEng program at UC will further your career goals
Official Graduate Record Exam (GRE) scores are not required, unless the applicant:
- Did not graduate with a four-year bachelor’s degree from an ABET-accredited undergraduate engineering or engineering technology program from an institution located in the United States OR
- Did not achieve a GPA of 3.0 or higher.
International students are required to provide specific information about their transcripts and requirements for applicants whose native language is not English.
- Transcripts must have an evaluation completed from a member of the National Association of Credential Evaluation Services (NACES).
- GRE scores are required.
English Proficiency Test: TOEFL (minimum 92) or IELTS (minimum 6.5).
| Term | Application Deadline | Classes Start |
|---|---|---|
Summer 2026 Fall 2026 |
April 24, 2026 August 8, 2026 |
May 11, 2026 August 24, 2026 |
The University of Cincinnati's online course fees differ depending on the program. On average, students will accrue fewer fees than students attending on-campus classes.
The one fee applied across all UC Online programs is the distance learning fee. Students living outside the state of Ohio must also pay an additional “non-resident” fee to enroll in courses at UC Online. This fee is lower than the out-of-state fee for traditional on-campus programs.
To view tuition information and program costs, visit the Online Program Fees page.
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