The Master of Science in Engineering Technology (MSET) is a resident program with a 30-credit-hour curriculum offering thesis and non-thesis options. It provides advanced application‐oriented education in engineering that addresses a need for a workforce with advanced technical talent. The MSET program focuses on critical technologies in the fields of manufacturing and mechanical engineering, electronic systems and mechatronics. The program is suitable for students with backgrounds in STEM-related fields.
Contact ishatruk@tamu.edu and mset@tamu.edu for more information.
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Request information for graduate programs
To qualify for the Quick Admit Application process with the ETID department, you must have a minimum GPA of 3.25.
Program Outline
- Resident graduate program
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- Four semesters (Three semesters possible with fast track)
- Fast Track Program: B.S. degree + one year
- Curriculum: 30 credit hours total
Sample Degree Plan - Thesis Option
Committee Requirements
- Minimum of three (3) faculty members on the committee, including the committee chair (and co-chair, if applicable).
- All committee members must be a Graduate Committee Faculty approved via the Graduate and Professional School. A list is available at https://gradcom.tamu.edu/faculty.
- The majority of faculty in the committee should be from ETID. At least one committee member should be from outside of the ETID department.
Curricular Requirements
- Required Math/Stat course (3 credits).
- Required ENTC 629 (3 credits) and ENTC 641 (3 credits).
- Required Seminar: Two semesters of ENTC 681 — total of two credit hours. Seminar courses from other departments will not be accepted.
- ENTC courses: 9 credit hours, excluding the required courses ENTC 629, 641 and 681 (see "Course Offerings" below).
- Out of department elective (3 credits); Any relevant graduate level course in the College of Engineering.
- 6-9 credit hours of research (ENTC 691) under the chair of your committee (1 credit could be substituted for internship, if needed).
Total: 30 credits
Sample Degree Plan - Non-Thesis Option*
Committee Requirements:
Students in the Master of Science non-thesis track do not have a committee. However, each student will need to list one (1) committee chair from ETID who oversees the student project. If not, the ADH will be assigned by default.Curricular Requirements:
- Required Math/Stat course (3 credits).
- Required ENTC 629 (3 credits) and ENTC 641 (3 credits).
- Required Seminar: Two semesters of ENTC 681 — total of two credit hours. Seminar courses from other departments will not be accepted.
- ENTC courses: 12 credit hours, excluding the required courses ENTC 629, 641 and 681 (see "Course Offerings" below).
- Out of department elective (3 credits); Any relevant graduate level course in the College of Engineering.
- 3-4 credit hours of project (ENTC 692) under the chair of your committee (1 credit could be substituted for internship, if needed).
Total: 30 credits
*Note: Although Graduate Assistantships are competitive and not always guaranteed, preference will be given to graduate students who pursue the thesis option.
How does the Fast Track (4+1) option work?
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.
Fast Track Details and Application
Course Offerings
We plan to offer the following courses in corresponding semesters, but it is still subject to change.
ENTC 689 Special Topic
Generative AI: Introduction and Applications (3 Credits) - Spring 2025, Spring 2026
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.
ENTC 689 Special Topic
Applied Cyber-Physical Systems Security and Resilience (3 Credits) - Spring 2025, Spring 2026
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.”
ENTC 629
Leadership and People Management in Technology Enterprises (3 Credits) - Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026, Fall 2026
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 each semester; online)
ENTC 641
Data Analysis, Simulation & Experimental Methods for Industry (3 Credits) - Fall 2024, Fall 2025, Fall 2026, Fall 2027
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)
ENTC 651
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.)
ENTC 652
Advanced Manufacturing Technology (3 Credits) - Spring 2024, Spring 2025, Spring 2026
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, etc.)
ENTC 611
Industrial Internet of Things (3 Credits) - Fall 2024, Fall 2026
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 2024, Fall 2026, etc.)
ENTC 644
Embedded Intelligent System Design (3 Credits) - Spring 2024, Fall 2025, Spring 2027
Embedded intelligent system design; investigate artificial intelligent systems; advanced embedded system designs; use of high-performance microcontroller and processor. (Course sequence: Fall 2022, Spring 2024, Fall 2025, Spring 2027, etc.)
ENTC 635
Advanced Applied Dynamics for Mechatronic Systems (3 Credits) Spring 2025, Spring 2026, Spring 2027
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. (Course sequence: Spring 2023, Fall 2024, Spring 2026, Fall 2027, etc.)
ENTC 612
Manufacturing Supply-Chain Capability Management (3 Credits) - currently is not offered
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 coordinated of material flows between and within suppliers, manufacturers and distributors. (Course sequence: currently is not offered)
ENTC 681
Seminar (1 Credit Hour) - offered each semester
Selected topics presented by the faculty, students and outside speakers. (Course sequence: offered each semester)
Stacked Courses
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.
ENTC 653 / ESET 453
Semiconductor Validation and Verification (3 Credits) - Available for Fast Track students or 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)
ENTC 662 / ESET 462
Advanced Control Systems (3 Credits) - Available for Fast Track students or 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)
ENTC 663 / MMET 463
Machine Elements in Mechanical Design Applications (3 Credits) - Available for Fast Track students or 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)
ENTC 600 / MXET 400
Mechatronics II (3 Credits) - Available for Fast Track students or 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)
ENTC 615 / ESET 415
Advanced Network Systems & Security (3 Credits) - Available for Fast Track students or 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)
ENTC 689 / ESET 452
Testing II (3 credits) - Available for Fast Track students or 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) as well as 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.
Frequently Asked Questions
Q: I have been accepted to the MSET program, but I need to delay my start date by a semester. Will I need to reapply to the program?
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.
Q: Does MSET offer a Fast Track program (4+1 degree plan)?
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).
Q: Is there any financial support available through the department?
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):
- A monthly stipend of $2,250 / month
- Tuition and Fees (All required fees are covered. You may be responsible for some student fees).
- Health insurance
B: The GEM Fellowship Program
This program is intended to increase access and success in engineering and science graduate studies, and covers the entire graduate recruitment, retention and professional development spectrum, including paid summer internships and tuition payments.
- General eligibility: Applicants must be a U.S. citizen or U.S. permanent resident at time of application.
- More information about GEM Fellowship and an application can be found here: https://www.gemfellowship.org/gem-fellowship-program
Contact an Advisor
Irina Shatruk
- Academic Advisor IV, Engineering Technology & Industrial Distribution
- Office: FERM 106B
- Phone: 979-458-6420
- Email: ishatruk@tamu.edu
