Earn your degree in as little as 16 months1
Understand how processes and production environments can be improved with DeVry University’s Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques. Anchored by our Tech Core curriculum, this specialization offers the interdisciplinary fundamentals you need to analyze processes in the modern IoT (Internet of Things) economy.
Our embedded IT Essentials Certificate lets you show off your new skills along the way.
Get to Know Our Machine Learning and Design Techniques Specialization
Our online Associate in Engineering Technology with a Machine Learning and Design Techniques specialization gives you hands-on experience with today’s cutting-edge technologies. You will use computer-aided design to build three-dimensional models, develop and train machine learning models and apply linear regression to make predictions. You will also:
- Study control systems related to applications such as robotics
- Study natural language processing
- Study data analytics and artificial intelligence
- Have the opportunity to put everything you learn together in a course project as part of your Process Improvement with Machine Learning course
Classes Start Every 8 Weeks
Earn your Associate Degree in Engineering Technology with Machine Learning and Design Techniques Specialization in as little as 1 year + 4 months*—or even more quickly with qualifying transfer credits.
*Not including breaks. Assumes year-round, full-time enrollment.
You’ll get a complimentary laptop as part of your technology program2. It’s our way of investing in your education—and you.
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:
- CompTIA A+
- CompTIA Linux+
- CompTIA Network+
- CompTIA Cloud+
Questions? We can help!
Others may be applicable as well. Speak with an advisor for more info.
With a strong Tech Core, the Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques will prepare you to utilize today’s most advanced tools, from computer-aided design to artificial intelligence, to solve a wide variety of problems, particularly within the manufacturing and production space.
With a Machine Learning and Design Techniques specialization, you can consider careers including, but not limited to:
- Electrical Engineering Technician
Working under an electrical engineer, you’ll assist with all aspects of the design, development and testing of electrical control systems and equipment. Both theoretical knowledge and hands-on skills are often required, depending on the nature of the position.
- Computer User Support Specialist
In this role, also known as a help-desk technician, you’ll assist computer users with troubleshooting and repairing a variety of issues. You might be part of a corporate IT team or assist home users. A lot of this work is performed remotely via chat, phone or email, but site-based visits are sometimes required.
- Field Service Technician
Field service technicians are responsible for installing, maintaining and repairing equipment. You’ll spend much of your time on the road, visiting the sites where the equipment is located.
- Engineering Technologist (General)
A general engineering technologist is qualified to solve many kinds of challenges across different types of engineering. Under the guidance of a specialized engineer, you might work in an area such as product design, technical operations or field engineering in virtually any industry.
The Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques consists of a minimum of 64 credit hours divided into:
- General Education (Essentials): 26 credits
- Tech Core: 21 credits
- Automation and Electronic Systems: 6 credits
- Career Preparation: 1 credit
- Specialization: 10 credits
General Education Courses
|ETHC232||Ethical and Legal Issues in the Professions|
|ETHC334||Diversity, Equity and Inclusion in the Workplace|
|SOCS185||Culture and Society|
Mathematics and Natural Sciences
|MATH114||Algebra for College Students|
|PHYS204||Applied Physics with Lab|
Personal and Professional Development
|COLL148||Critical Thinking and Problem-Solving|
Tech Core Courses
|CEIS101||Introduction to Technology and Information Systems|
|CEIS106||Introduction to Operating Systems|
|CEIS110||Introduction to Programming|
|CEIS114||Introduction to Digital Devices|
|NETW191||Fundamentals of Information Technology and Networking|
|NETW211||Fundamentals of Cloud Computing|
|SEC285||Fundamentals of Information Systems Security|
Automation and Electrical Systems
|ECT226||Electronic Device and System Foundations|
|ECT286||Automation and Controls|
|CEIS299||Careers and Technology|
Machine Learning and Design Techniques
|MATH221||Statistics for Decision Making|
|CEIS308||Systems and Computer Aided Design|
|CEIS310||Process Improvement with Machine Learning|
|CEIS312||Introduction to Artificial Intelligence and Machine Learning|
Embedded Programs – Demonstrate Your Growing Skills
The Associate in Engineering Technology with Machine Learning and Design Techniques specialization includes an embedded IT Essentials Certificate. This 8-course program provides you with the fundamental skills you need to meet the challenges of the rapidly evolving field of information technology. If you later decide to earn a qualifying bachelor’s degree at DeVry, all of the courses in your completed associate degree will count for credit toward that bachelor’s degree.3
1Not including breaks. Assumes year-round, full-time enrollment.
2As part of this program, one complimentary laptop is provided to students enrolled in the Associate in Information Technology and Networking, Associate in Engineering Technology, Associate in Network Systems Administration, Bachelor’s in Information Technology and Networking, Bachelor’s in Software Development, Bachelor’s in Engineering Technology, Bachelor’s in Network and Communications Management and Bachelor’s in Computer Information Systems. The laptop is issued during the student’s second session. Certain restrictions apply.
3At 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.
*The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements