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What does a week look like as a student in Applied Engineering?

Tech & EngineeringGrowing Study ProspectsBachelor

Applied Engineering

Also known as: Engineering Technology, Industrial Technology, Manufacturing Engineering Technology, Operations Engineering

In an Applied Engineering program, you will learn to bridge the gap between engineering theory and practical application, focusing on the design, implementation, and improvement of operational systems and processes. This hands-on degree emphasizes problem-solving in real-world industrial and technological settings. You'll gain expertise in areas like manufacturing, automation, quality control, project management, and systems integration, preparing you to directly contribute to technical and operational challenges in various industries.
Tech & EngineeringManufacturingOperations ManagementIndustrial EngineeringAutomationSTEMProject ManagementQuality ControlEngineering

A Week as a Student

You start your week with an Engineering Graphics & Design lecture, reviewing fundamental CAD software commands. Later, in the computer lab, you begin modeling a simple mechanical bracket. Aligning the dimensions and features perfectly takes several frustrating attempts; you delete and redraw sections multiple times before achieving a clean design. After debugging your sketch, you meet friends for lunch at the dining hall, discussing weekend plans before heading to your general education elective, momentarily switching gears from engineering.

High School Preparation

Required Subjects

Algebra IIPre-CalculusPhysicsChemistryEnglish

Recommended GPA

3.0-3.5

Advanced Courses (AP/IB/Honors)

  • AP Calculus AB/BC
  • AP Physics 1 & 2
  • AP Chemistry
  • Honors Engineering Design
  • Dual Enrollment Introduction to Engineering
  • AP Computer Science Principles

Recommended Activities

  • Robotics Club or Competition
  • Engineering Design Challenge (e.g., Baja SAE, Formula SAE)
  • STEM Club or Science Olympiad
  • High School Fabrication or Shop Class
  • Mentorship with an Engineer
  • Volunteer Work (e.g., Habitat for Humanity, technical projects)

Application Essay Topics

  • Describe a time you encountered a practical problem and how you used logical thinking or hands-on skills to solve it.
  • Discuss a technological system or machine that fascinates you and explain how you would improve its efficiency or function.
  • Reflect on a group project where you had to design or build something. What role did you play, and what did you learn about teamwork in an applied context?
  • How do you envision applied engineering contributing to a more sustainable or efficient future?

Alternative Path

You can pursue this field through a two-year Associate of Science (AS) or Associate of Applied Science (AAS) degree in Engineering Technology from a community college, often with the option to transfer credits to a four-year bachelor's program. Some specialized technical certifications or apprenticeships in fields like manufacturing or automation can also provide entry-level opportunities, though they may not fully substitute for a bachelor's degree.

Core Subjects

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Career Prospects

Growing Study Prospects
With an Applied Engineering degree, you can work as a Manufacturing Engineer, overseeing production processes and improving efficiency; an Industrial Engineer, optimizing systems and workflows; a Facilities Engineer, managing building systems and infrastructure; a Quality Assurance Engineer, ensuring product standards; an Automation Engineer, designing and implementing automated systems; or a Technical Project Manager, leading engineering projects from concept to completion. You'll find opportunities in diverse industries like manufacturing, aerospace, energy, logistics, and product development.

Impact of AI on this Study

AI is increasingly central to applied engineering, transforming how systems are monitored, optimized, and maintained. You will learn to use AI tools for predictive maintenance of machinery, optimizing manufacturing processes through machine learning algorithms, and enhancing quality control with computer vision systems. This includes implementing smart automation, data analytics for operational insights, and utilizing AI-driven simulations to improve product design and system efficiency.