To qualify for the Quick Admit Application process with the Department of Engineering Technology and Industrial Distribution (ETID), you must have a minimum GPA of 3.25.
ETID undergraduates majoring in MMET, MXET, or ESET have the option to apply for the MSET Fast Track 4+1 option. Students approved for the fast track option can take up to 9 credit hours of graduate coursework during their undergraduate degree, shortening their time to degree for the Master of Science in Engineering Technology.
We plan to offer the following courses in corresponding semesters, subject to change.
Battery Technology and Manufacturing (3 Credits) - Spring 2027
Fundamentals, technologies, and manufacturing processes of rechargeable batteries, with emphasis on lithium-ion and emerging battery systems. Topics include battery materials and cell design; electrode formulation, mixing, coating, drying, calendaring, and finishing; cell assembly, electrolyte filling, formation, and aging; module and battery-pack assembly and integration; thermal management and battery management system integration; manufacturing equipment, automation, process control, quality assurance, metrology, and failure analysis; manufacturing scale-up, safety, sustainability, and recycling. Laboratory and project activities provide hands-on experience in battery fabrication, assembly, testing, manufacturing process analysis, and quality evaluation.
From Machine Learning to Modern AI: Fundamentals, Tools, and Applications (3 Credits) - Spring 2026, Spring 2027, Spring 2028
This course equips students with a deep understanding of Generative AI, covering foundational concepts in neural networks and deep learning, and exploring advanced architectures like VAEs, GANs, autoregressive models, and LLMs. Through hands-on sessions in prompt engineering, open-source tools like Hugging Face, Gradio, LangChain and collaborative software programming projects, students will learn to apply AI technologies across various media types and explore ethical considerations in real-world applications. This course culminates in a project development phase where students integrate their skills in a practical showcase, preparing them for responsible innovation and careers in AI.
Applied Cyber-Physical Systems Security and Resilience (3 Credits) - Spring 2026, Fall 2027, Spring 2029
This course expands on “Advanced topics in the cybersecurity and resilience of cyber-physical systems (CPS) which represent most of our critical infrastructures and employ unique technologies such as operational technologies (OT), industrial control systems (ICS), and industrial Internet of Things (IIoT). In this course students will develop a basic understanding of common technologies, applications, communications protocols used in cyber-physical systems. Students will also become familiar with security and resilience requirements, challenges, standards, architectures, and solutions. The course will also provide an overview of threat modeling and risk assessment in the context of CPS and will expand on security and resilience-by-design approaches. Students will gain hands-on experience through labs, case studies and a course project.”
Electronics Packaging and Manufacturing (3 Credits) - Spring 2027
This course introduces the principles and practices of electronics packaging, focusing on the design, manufacture, and integration of materials and devices that enable reliable and high-performance electronic systems. Topics include packaging hierarchy (material, die, chip, board, and system levels), thermal and mechanical design, interconnect technologies, substrate materials, and manufacturing processes such as wafer bonding. Emphasis is placed on design for manufacturability, miniaturization and emerging packaging technologies, including 3D packaging and heterogeneous integration.
Applied Cryptography & Network Security (3 Credits) - currently not available
This course is an introduction to core principles of modern cryptography and applied cryptographic techniques. It covers the building blocks of cryptography and their application in securing emerging network systems, including blockchain, Internet of Industrial Things (IIoT) and Internet of Robotics Things (IoRT).
Leadership and People Management in Technology Enterprises (3 Credits) - Fall 2026, Fall 2027, Fall 2028
Techniques and methods for effective project and personnel management; legal aspects of projects including labor laws, unions, safety and reporting; globalization and impact on project management; financial justification and cost accounting of project budgets; leadership and management skills; engineering and technology supervision. (Course sequence: offered every fall semester)
Data Analysis, Simulation & Experimental Methods for Industry (3 Credits) - Fall 2026, Fall 2027, Fall 2028
Parametrize and simulate physical systems; use of successive substitution technique for system modeling and optimization purposes; optimization techniques including calculus-based search methods; experimental methods for industry applications will include two-level factorial experimental design; multivariable data fitting and error propagation analysis. (Course sequence: Fall 2024, Fall 2025, Fall 2026, Fall 2027, Fall 2028, etc.)
Advanced Materials Technology (3 Credits) - Spring 2025, Fall 2026
Materials technology applications & case studies from industry; Concepts, properties & behavior of traditional & non-traditional materials; Mechanical behavior including fracture, fatigue & creep; Electrical, thermal, magnetic & optical properties; Degradation of material systems; Material testing & characterization using destructive & non-destructive tools/procedures; Materials selection & design. (Course sequence: Fall 2023, Spring 2025, Fall 2026, etc.)
Advanced Manufacturing Technology (3 Credits) - Spring 2026, Spring 2027, Spring 2028
Advanced manufacturing practice in industry; principles and applications of 3D printing, particulate materials processing, microfabrication and high energy beam materials processing. (Course sequence: Fall 2022, Spring 2024, Fall 2025, Spring 2027, Spring 2028, etc.)
Industrial Internet of Things (3 Credits) - Fall 2026, Fall 2027, Fall 2028
Comprehensive coverage on, among others, the role of data, manufacturing systems, various Industry 4.0 technologies, applications and case studies; draw input from researchers and practitioners on what are the opportunities and challenges brought about by Industry 4.0, and how organizations and knowledge workers can be better prepared to reap the benefits of this latest revolution. (Course sequence: Fall 2026, Fall 2027, Fall 2028, etc.)
Advanced Applied Dynamics for Mechatronic Systems (3 Credits) currently not available
Translational mechanical system dynamics, rotational mechanical system dynamics, electrical system dynamics modeling, mechatronics system dynamics, fluid power dynamics, rigid body dynamics and applied dynamics modeling using finite element method; automotive, oil and gas drilling and robotic applications.
Seminar (1 Credit Hour) - offered each semester
Selected topics presented by the faculty, students and outside speakers. (Course sequence: offered each semester)
An undergraduate course and a graduate course offered together, meeting at the same time and place with the same content and instructor(s), but with different learning outcomes, readings/assignments and grading rubric.
Semiconductor Validation and Verification (3 Credits) - Available for Fast Track students or with advisor approval
Validation of semiconductor devices; differences between validation and production testing; extensive use of Altium for simulation and layout of circuits; use of Spotfire to analyze data acquired as part of validation process; focus on acquisition of valid data and clear and concise presentation of data to stakeholders. (Course sequence: offered each semester)
Advanced Control Systems (4 Credits) - Available for Fast Track students or with advisor approval
Components, principles and techniques fundamental to automated control systems; study of transfer functions, network analysis using Laplace transforms, Z transforms, feedback control systems theory, digital computer simulation and computer-based controls systems. (Course sequence: offered each semester)
Advanced Network Systems & Security (3 Credits) - Available for Fast Track students or with advisor approval
Advanced topics of the network systems and security including network design and protocol including Border Gateway Protocol (BGP), Internet Protocol (IP) Routing, Internet Protocol Version 6 (IPv6), Network Address Translation (NAT) and Domain Name System (DNS); network security including Access Control Lists (ACLs), Transmission Control Protocols (TCP) and IP security and Virtual Private Networks (VPN); socket programming and cryptographic protocols. (Course sequence: offered each semester)
Electronics Testing II (3 credits) - Available for Fast Track students or with advisor approval
This is a course on the testing of mixed-signal semiconductors. An in-depth study of advanced mixed-signal test methodologies is presented. Emphasis will be given primarily to analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). Additional coursework is dedicated to device interface board design and data analysis. Students perform both circuit analysis (2/3) and circuit design (1/3) with several DACs and ADCs while gaining experience in Mixed-Signal testing using industry-funded state-of-the-art equipment.
Manufacturing Supply-Chain Capability Management (3 Credits) – Available for Fast Track students or with advisor approval
Supply chain operations, associated business processes and their relation to the financial performance of a manufacturing company; methodologies for the optimal use of company assets and resources to achieve coordination of material flows between and within suppliers, manufacturers and distributors. (Course sequence: offered each semester)
Machine Elements in Mechanical Design Applications (3 Credits) - Available for Fast Track students or with advisor approval
Applications of principles of analysis and design of machines and machine elements including linkages, robots, cam and follower systems, shafts, gears, clutches, belt and chain drives; introduction to the mathematical tools for the analysis and design of these machines and machine elements. (Course sequence: offered each semester)
Mechatronics II (3 Credits) - Available for Fast Track students or with advisor approval
Study and analysis of industrial robotics and automation processes necessary for robot-centric work cell design and operation. (Course sequence: offered each semester)
Artificial Intelligence for Mechatronics (3 credits) - Available for Fast Track students or with advisor approval
Principles of Artificial Intelligence and Machine Learning; Reinforcement Learning; Path Planning; Decision Making; and Intelligent Control and their applications in designing Intelligent Autonomous Systems.
A: With the approval of the degree-granting unit providing admission, admission to graduate studies normally remains valid for one year from the term of acceptance. Admission deferral requests must be made before the start of the term of the original application. An extension to the one-year time limit may be granted if requested by the applicant in writing and approved by the degree-granting unit.
A: Undergraduates can take graduate courses that count towards BOTH undergrad and graduate degree plans. The ETID Graduate Committee specifies which courses are “stacked” for undergrad and graduate credit (typically 400-level). Students take the grad course and get “credit by exam” for the undergrad course. Fast Track participants need undergraduate program approval to participate (e.g., minimum GPA requirements).
A: Once a graduate student, you are eligible to compete for graduate assistant teacher (GAT) or graduate assistant researcher (GAR) appointments, which provide the following (subject to student’s skills and availability of funds):
If you are not provided funding by a specific ETID faculty member, you may choose to apply for a general ETID Assistantship by completing this form.