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Engineering Technology

Associate Degree Specialization in Machine Learning and Design Techniques

Earn Your Associate Degree in As Little as 16 Months1

 

Build your understanding of 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 Internet of Things (IoT) economy.

Our embedded Engineering Technology Certificate2 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'll have the opportunity to 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.
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Why DeVry?

Why Choose Machine Learning and Design Techniques at DeVry

Complimentary Laptop

You’ll get a complimentary laptop as part of your technology program3. 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+

Other certifications may also be eligible for reimbursement. Speak to your Student Support Advisor for additional information.

Questions for our admissions team?
Request Info about Machine Learning and Design Techniques Program now.
Minimum Completion Time*
1 year
4 months
OR
Normal Completion Time
2 years

ACCELERATE AT YOUR PACE

Choose the schedule that best fits your goals and commitments. You can earn your Associate Degree in as little as  1 year 4 months.

Or, follow a normal schedule and complete your program in 2 years.

*Per 12-month period, assumes completion of three full-time semesters (typically two courses per session) and continuous, year-round enrollment with no breaks. See catalog for details.

  • 01 Knowledge & Skills
  • 02 Embedded Programs
  • 03 Career
  • 04 Program Courses
  • 05 FAQs
  • 06 Catalog Download
Knowledge & Skills

What You'll Learn

Courses in the Machine Learning and Design Techniques specialization will cover skills such as:

  • 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.
  • Circuit Analysis
    Design and analyze circuits ensuring proper construction, voltage and currents.
  • Automation and Control
    Configure and troubleshoot control systems.
  • Statistical Methods
    Understand the implications of new information for both current and future problem-solving and decision-making.
  • 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.
certificates
certificates
Skill Focused Curriculum

Elements of our Machine Learning and Design Techniques specialization curriculum are aligned to industry certifications to help you validate your knowledge and skills as you prepare to pursue such certification exams as:

  • CompTIA A+

  • CompTIA ITF+

  • CompTIA Linux+

  • CompTIA Network+

  • CompTIA Cloud+

  • CompTIA Security+

  • Lean Six Sigma Yellow Belt

  • Autodesk Certified User

  • PCEP Certified Entry-Level Python Programmer

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Our History

Strong Legacy in Tech

At DeVry University, our first Associate in Electronics Engineering Technology degree was accredited in 1955, and we offered our first Bachelor’s in Electronics Engineering Technology 14 years later. This program honors our deep experience in engineering technology education while providing a modern curriculum designed to meet the unique challenges of the 21st century.

Embedded Programs

Embedded Programs – Demonstrate Your Growing Skills

The Associate in Engineering Technology with Machine Learning and Design Techniques specialization includes an embedded Engineering Technology Certificate2. This 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.4

Bachelor's
+62
Credit Hours Remaining
126
Total
Associate
+25
Credit Hours Remaining
64
Total
Certificate
39
Credit Hours

 

The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.

Career

Career Opportunities in Machine Learning and Design Techniques Specialization

Machine Learning and Design Techniques Specialization

With a strong Tech Core, our Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques program can help 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 may be able to consider careers including, but not limited to:

  • Electrical Engineering Technician

     

    Working under an electrical engineer, you may 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 may spend much of your time on the road, visiting the sites where the equipment is located in order to perform on-site tasks.

  • Engineering Technologist (General)

    A general engineering technologist is qualified to solve many kinds of challenges across different types of engineering disciplines. 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.

Program Courses

Course Options

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
Communication skills
ENGL112
Composition


+ Choose one below:

SPCH275
Public Speaking
SPCH276
Intercultural Communication
Humanities


+ Choose one below:

ETHC232
Ethical and Legal Issues in the Professions
ETHC334
Diversity, Equity and Inclusion in the Workplace
Social Sciences
SOCS185
Culture and Society
Mathematics and Natural Sciences
MATH114
Algebra for College Students
PHYS204
Applied Physics with Lab
Personal and Professional Development
CARD205
Career Development
COLL148
Critical Thinking and Problem-Solving
Tech Core Courses
Tech Core
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
Program Courses
Automation and Electrical Systems
ECT226
Electronic Device and System Foundations
ECT286
Automation and Controls
Career Preparation
CEIS299
Careers and Technology
Specialized Courses
Machine Learning and Design Techniques
MATH221
Statistics for Decision Making


+ Choose two below:

CEIS308
Systems and Computer Aided Design
CEIS310
Process Improvement with Machine Learning
CEIS312
Introduction to Artificial Intelligence and Machine Learning

FAQs: Machine Learning and Design Techniques

Machine learning and design techniques is a discipline of engineering that focuses on enabling machine learning through various design applications. This ultimately results in products that are capable of integrating with AI to continuously improve themselves and predict outcomes that are relevant to their performance.

In general, a degree may be a helpful thing to have when thinking about pursuing a career that deals with machine learning. Because working with machine learning is a technology-focused career path, many of the jobs in the field may require a degree in a technology discipline. Keep in mind that minimum job requirements will vary from employer to employer.

You can take Machine Learning and Design Techniques classes online right here at DeVry! Online classes can be a great way to work on building your skills and furthering your education while balancing commitments like work or spending time with family.

Academic Catalog
2023 - 2024 Academic Catalog
Download PDF
Program Guides
Program Overview
Download PDF

1Not including breaks. Assumes year-round, full-time enrollment.
2For the Engineering Technology Certificate and the Associate Degree in Engineering Technology, every course counts towards the Bachelor’s Degree in Engineering Technology. 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.
3As 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.
4At 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