Systems Engineering

Duquesne University's Systems Engineering Program equips students with the essential knowledge, skills, and tools to excel in diverse industries such as manufacturing, energy, production, logistics, healthcare, semiconductors, and consulting. The program focuses on the design of efficient and innovative systems that integrate personnel, machinery, materials, information, and energy to enhance product development and service delivery while minimizing waste and optimizing productivity. The curriculum provides a thorough and progressive education, highlighting interdisciplinary collaboration, practical experience, and the cultivation of versatile systems engineers.

Learning Outcomes

The student outcomes of Bachelor of Science in Systems Engineering include:

1. The ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. To apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. To communicate effectively with a range of audiences
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. To function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. To develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. 

Curriculum

To earn a Bachelor of Science degree in Systems Engineering, students must complete a minimum of 130 credits.

Systems Engineering Courses			69
Intro to Engineering	3	Math/Science/Bus Elective	3
Programming for Engineers	3	ENGR Elective	3
Engineering Design	3	ENGR Elective 2	3
Electronics	3	Design of Experiments	3
Statics	3	Stat. Testing & Reg.	3
Data Analytics	3	Safety Engineering	3
Dynamics	3	Nonlinear Optimization	3
Thermodynamics	3	Machine Learning	3
Prob., Random Var., & Distr.	3	Behavioral Statistics	3
Stochastic Optimization	3	Engineering Psychology	3
Generative Elective	3	Capstone Design I	3
Capstone Design II	3