Engineering Technology

Major: Engineering Technology
Degree Awarded: Master of Science (MS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 15.0000
Standard Occupational Classification (SOC) code: 17-3029

About the Program

The Master of Science in Engineering Technology offers courses focused on the technologies used in today’s modern emerging industries. The program is designed for individuals who want marketable, applicable skills, and currently hold an accredited baccalaureate degree in engineering technology or have relevant work or class experience in science, technology, engineering, or mathematics (STEM) fields. The primary goal of the Master of Science in Engineering Technology is to develop advanced-level practitioners who are capable in resolving technical problems through the application of engineering principles and technology.

The program can be pursued on a part-time or full-time basis. Courses will be delivered in several modes: face-to-face and/or on-line, and allow practicing professionals the opportunity to update knowledge and skills based on the latest technological developments in the industrial environment and therefore advance in their chosen careers. The flexibility of the program curriculum permits students to select a combination of courses relevant to their individual career goals or to provide the foundation for further advanced study.

Program Goals

Graduates of the Master of Science in Engineering Technology will be expected to:

  • Apply scientific and technological concepts to solving technological problems.
  • Apply concepts and skills developed in a variety of technical and professional disciplines including computer applications and networking, materials properties and production processes, and quality control to improve production processes and techniques.
  • Plan, facilitate, and integrate technology and problem solving techniques in the leadership functions of the industrial enterprise system.
  • Engage in applied technical research that will add to the knowledge of the discipline and solve problems in an industrial environment.
  • Develop the communication skills required for technical managers. 

For additional information, view the College of Engineering's Engineering Technology program web page or contact Gerry Willis at 215-895-6253 or

Admission Requirements

Applicants must have a 3.0 grade point average in their undergraduate or upper division (junior and senior year) coursework.

International students who have their undergraduate degree from a country whose language is not English can be admitted with a Test of English as a Foreign Language (TOEFL) test score of 550 or better. For more information regarding international applicant requirements, view the International Students Admissions Information page.

Prerequisite courses
The following prerequisite courses must be completed at the undergraduate level with a minimum grade of C:

  • Calculus I
  • Calculus II
  • Physics I (can be algebra-based)
  • Physics II (can be algebra-based)
  • AC/DC Circuit Analysis
  • Digital Electronics
  • Chemistry I or Materials
  • Business Statistics

Visit the Graduate Admissions website for more information about requirements and deadlines, as well as instructions for applying online.

Degree Requirements 

Candidates for the MS in Engineering Technology must complete a minimum of 45.0 quarter credits. A minimum grade of B is required in all core courses and no more than two C grades in electives.

Of the 45.0 quarter credits required for the degree, 30.0 must be earned at Drexel University, including 24.0 credits of Engineering Technology (ET) courses. A maximum of 15.0 transfer credits may be allowed for graduate courses taken at other institutions, if they are appropriate to the student's plan of study.

Core Courses
EGMT 571Engineering Statistics3.0
EGMT 610Ethics & Business Practices for Engineers3.0
ET 610Networks for Industrial Environments3.0
ET 615Rapid Prototyping and Product Design3.0
ET 619Programmable Devices and Systems3.0
ET 620Microsystems and Microfabrication3.0
ET 681Nanomaterials and Nanoengineering3.0
ET 725Sensors and Measurement Systems3.0
ET 732Modern Energy Conversion Technologies3.0
Select three of the following:
Statistical Data Analysis
Materials for Emerging Technologies
Engineering Quality Methods
Reliability Engineering
Precision Manufacturing
Lean Manufacturing Principles
Renewable Energy Technology
Sustainable and Green Manufacturing
Introduction to Project Management
Systems Engineering Management
Capstone Course 9.0
Master's Project and Thesis in Engineering Technology *
Total Credits45.0

Engineering Technology Faculty

M. Eric Carr, MsCpE (Drexel University). Instructor. Computer Engineering, Digital Design, Programmable Devices, Genetic Algorithms, Programming, Additive Manufacturing, Maker Movement.
Richard Chiou, PhD (Georgia Institute of Technology). Associate Professor. Green manufacturing, mechatronics, Internet-based robotics and automation, and remote sensors and monitoring.
Yalcin Ertekin, PhD (University of Missouri-Rolla). Associate Clinical Professor. High speed machining with micromachining applications, machining process optimization and condition monitoring using multiple sensors, FEA simulation with 3D solid modeling applications, rapid prototyping and reverse engineering, quality and reliability improvement through statistically designed experiments, neural networks and data mining and Taguchi methods, CNC machine tool calibration characterization of cold fastening, clinching and self-pierced riveting processes, non-invasive surgical tool design, student learning enhancement using online simulation tools.
Vladimir Genis, PhD (Kiev State University, Ukraine) Department Head, Engineering Technology. Professor. Ultrasound wave propagation and scattering, ultrasound imaging, electronic instrumentation, piezoelectric transducers, and engineering education. Designed and developed diagnostic and therapeutic equipment for medical applications and electronic systems and techniques for defense-related and industrial applications.
Irina Ciobanescu Husanu, PhD (Drexel University). Assistant Clinical Professor. Microgravity combustion, thermal-fluid science with applications in micro-combustion, fuel cells and research of alternative and green fuels, energy conversion and renewable energy, industrial experience in aerospace engineering areas (theoretical analysis, numerical simulations and experimental investigations), design and testing of propulsion systems, mechanical instrumentation, and developing industrial applications of aircraft engines.
Lunal Khuon, PhD (Massachusetts Institute of Technology). Clinical Associate Professor. Radio frequency, analog, and biomedical integrated circuits, biomedical instrumentation, neural interfaces, wireless systems, and engineering education. Research topics include area-efficient and power-efficient integrated circuits, plasmonics, adiabatic circuits, rotary clocks, and medical cyber-physical systems.
Michael Mauk, PhD, PE (University of Delaware). Assistant Clinical Professor. Rapid prototyping, microfluidics, alternative energy including solar energy and photovoltaics, semiconductor materials science, nanotechnology.
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