Engineering Technology
Associate Degree Specialization in Machine Learning and Design Techniques
Build your understanding of how processes and production environments can be improved with our Associate in Engineering Technology Program with a specialization in Machine Learning and Design Techniques. Anchored by our Tech Core curriculum, this coursework is designed to help you build a foundation of interdisciplinary skills you’ll need for today’s Internet of Things (IoT) economy while teaching you relevant skills in operating systems, programming, hardware, connectivity and security.
Classes start on July 7, 2025

ETAC of ABET accredits postsecondary, degree-granting programs that meet their global standards for technical education. This is a global mark of quality that is valued by employers and professional associations within the Engineering Technology field. The Associate in Engineering Technology is accredited by The Engineering Technology Accreditation Commission of ABET (ETAC of ABET) www.abet.org.
DeVry University is accredited by The Higher Learning Commission (HLC), www.hlcommission.org.
Work With IoT Technologies & Systems
Immerse yourself in the Internet of Things (IoT) world and obtain hands-on experience with IoT, cloud, software and security technologies and systems.
Certification Exam Reimbursement
Several of our tech programs are designed with industry-recognized certifications in mind. Qualified students may receive up to a $300 reimbursement for the cost of one exam attempt across a wide range of certifications:
Minimum Completion Time*
Normal Completion Time
Or, follow a normal schedule and complete your program in 2 years.**
*Minimum schedule does not include breaks and assumes 3 semesters of year-round, full-time enrollment in 15-17 credit hours a semester per 12-month period.
**Normal schedule does not include breaks and assumes 2 semesters of enrollment in 15-17 credit hours per semester per 12-month period.
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Design and Modeling
Leverage computer-aided design (CAD) software to facilitate the generation, modification, and optimization of systems. -
Process Improvements and Machine Learning
Explore and apply process improvement methodologies to evaluate and enhance the performance of systems. -
Circuit Analysis
Design and analyze circuits ensuring proper construction, voltage and currents. -
Automation and Control
Configure and troubleshoot control systems.
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AI and Analytics
Gain foundational knowledge and skills in data gathering and analysis, while using artificial intelligence to solve business problems and support decision-making. -
Statistical Methods
Understand the implications of new information for both current and future problem-solving and decision-making. -
Communicate Methods and Findings
Learn to communicate the rationale behind research methods and recommendations while presenting performance objectives, issues and solutions. -
Collaborate in Dynamic Work Environments
Learn to collaborate with colleagues in varying locations and environments to coordinate and share information. -
Complex Problem-Solving
Apply critical and analytical thinking to identify complex problems, evaluate options and implement solutions. -
Digital Literacy
Learn to apply appropriate technologies in order to solve digital issues and problems within databases.
Qualified students may receive up to a $300 reimbursement for the cost of one exam.
*The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.
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2023 - 2024 Academic Catalog
Related Programs
2 Future programmatic changes could impact the ability to earn additional credentials en route to an eligible degree program. Refer to the academic catalog for details.
3 At the time of application to the next credential level, an evaluation of qualifying transfer credit will occur and the most beneficial outcome will be applied. Future programmatic changes could impact the application of credits to a future program. Refer to the academic catalog for details.