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Engineering Technology

Associate Degree Specialization in Machine Learning and Design Techniques

Earn Your Associate Degree on Your Schedule

 

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. 

Get to Know Our Machine Learning and Design Techniques Program Specialization

Our online Associate Program 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

Accreditation and Recognition Matter

ABET Logo

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.

Why DeVry?

Why Choose Machine Learning and Design Techniques at DeVry

Complimentary Laptop

You’ll get a complimentary laptop as part of your technology program1. 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:

Minimum Completion Time*
1 year
4 months
OR
Normal Completion Time
2 years

ACCELERATE ON YOUR SCHEDULE

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.**

*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.

Knowledge & Skills

What You'll Learn

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

  • 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.
  • 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.
certificates
certificates
Industry-Aligned 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+

  • Lean Six Sigma Yellow Belt

  • Autodesk Certified User

  • PCEP Certified Entry-Level Python Programmer

Qualified students may receive up to a $300 reimbursement for the cost of one exam.

 

Our History

Strong Legacy in Tech

At DeVry University, our first Associate in Electronics Engineering Technology degree program was accredited in 1955, and we offered our first Bachelor’s in Electronics Engineering Technology Program 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 Certificate Program2. 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.3

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 Program with a Specialization in Machine Learning and Design Techniques 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.

     

  • 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 Technician (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.

  • Manufacturing Engineering Technician / Industrial Engineering Technician

    Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency.

  • Electro-Mechanical / Mechatronics Technicians

    Operate, test, maintain, or adjust unmanned, automated, servomechanical, or electromechanical equipment. May operate unmanned submarines, aircraft, or other equipment to observe or record visual information at sites such as oil rigs, crop fields, buildings, or for similar infrastructure, deep ocean exploration, or hazardous waste removal. May assist engineers in testing and designing robotics equipment.

Program Courses

Course Options

The Associate in Engineering Technology Program 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

    12 credits

  • Program Focus

    15 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
TECH204
Everyday Physics
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
Program Courses
Program Focus
ECT226
Electronic Device and System Foundations
ECT286
Automation and Controls


+ Choose three from below:

ECT308
Introduction to Computer-Aided Design
ECT313
Generative Design
ECT315
Industrial IoT
ECT320
Manufacturing Processes and Systems
ECT325
Electromechanical Systems
NETW191
Fundamentals of Information Technology and Networking
NETW212
Introduction to Cloud Computing
SEC285
Fundamentals of Information System Security
TECH301
Design of Experiments
Career Preparation
CEIS298
Introduction to Technical Project Management
Specialized Courses
Machine Learning and Design Techniques
TECH221
Data-Drive Decision Making


+ Choose two below:

ECT313
Generative Design
TECH231
Introduction to Artificial Intelligence Applications
TECH310
Process Improvement

FAQs: Machine Learning and Design Techniques

What is 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.

Do you need a degree for a machine learning career?

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 more advanced, 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.

Are Machine Learning and Design Techniques classes available online?

Absolutely! 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
Program Guides
Program Overview

1As 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 Cyber Security and Networking and Bachelor’s in Computer Information Systems. The laptop is issued during the student’s second session. Certain restrictions apply.
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.