BS in Engineering

85-87 units
Azusa Pacific’s BS in Engineering equips students with an excellent foundation in principles that prepare them for careers in a variety of engineering fields, including aerospace, agriculture, automotive, business, computer science, defense, energy, and health care. The engineering curriculum includes courses in mechanics, electrical circuits, electronics, digital systems, and control systems, and all courses are strongly anchored on foundational coursework in mathematics and physics including calculus, differential equations, and probability theory. Three concentration areas are available: mechanical engineering, electrical engineering, and computer engineering.
A two-semester design project in the senior year challenges students to work in teams and design, build, and test a major engineering product as the culmination of all coursework completed. These projects usually involve external sponsors and mentors. An engineering internship that provides hands-on experience also is part of the curriculum requirements.
Job opportunities for engineering graduates are plentiful in Southern California, nationwide, and globally—a multitude of aerospace, entertainment, construction, and electronics companies need mechanical, electrical, systems, and computer engineers.
Requirements
Academic advising is required each semester; consult with the department for each semester’s offerings, since courses are not necessarily offered every semester.
Engineering students are required to have a laptop for classroom work.
Code | Title | Units |
---|---|---|
Engineering Major Requirements | ||
ENGR 101 | Introduction to Engineering | 3 |
CS 120 | Introduction to Computer Science I 1 | 4 |
ENGR 215 | Electrical Circuits and Systems | 4 |
ENGR 240 | Digital Logic Systems 1 | 4 |
ENGR 245 | Electronics | 4 |
ENGR 325 | Control Systems | 3 |
ENGR 470 | Senior Design Project I | 3 |
ENGR 480 | Senior Design Project II 1 | 3 |
ENGR 281 | Statics | 3 |
ENGR/MATH/PHYC 230 | Computation and Modeling | 3 |
ENGR/CS/MATH/PHYC 342 | STEM Writing and Communication | 3 |
Choose one of the following: | 1 | |
Engineering Internship Preparation | ||
Engineering Research Seminar | ||
Math and Physics Requirements | ||
MATH 165 | Calculus I | 4 |
MATH 166 | Calculus II | 4 |
CS 160 | Discrete Structures | 3 |
MATH 268 | Multivariable Calculus | 4 |
MATH 290 | Linear Algebra | 3 |
MATH 310 | Ordinary Differential Equations | 4 |
MATH 361 | Introduction to Modeling with Probability | 3 |
PHYC 165 & PHYC 145 | Physics for Science and Engineering: Mechanics and Physics Laboratory I 2 | 5 |
Concentration/Electives | 17-19 | |
Choose one of the following concentrations, or general engineering (no concentration) below: | ||
Mechanical Engineering | ||
Mechanics of Materials | ||
Dynamics | ||
Physics for Science and Engineering: Waves and Thermodynamics and Physics Laboratory II | ||
Choose two electives | ||
Electrical Engineering | ||
Digital Signal Processing | ||
Communications Systems | ||
Physics for Science and Engineering: Electricity and Magnetism and Physics Laboratory II | ||
Choose two electives | ||
Computer Engineering | ||
Introduction to Computer Science II | ||
Algorithms and Data Structures | ||
Computer Architecture and Organization | ||
Choose one of the following: | ||
Physics for Science and Engineering: Electricity and Magnetism and Physics Laboratory II | ||
Physics for Science and Engineering: Waves and Thermodynamics and Physics Laboratory II | ||
Choose one elective | ||
General Engineering (no concentration) | ||
Choose one of the following: | ||
Physics for Science and Engineering: Electricity and Magnetism and Physics Laboratory II | ||
Physics for Science and Engineering: Waves and Thermodynamics and Physics Laboratory II | ||
Choose four electives | ||
Engineering Electives | ||
Algorithms and Data Structures | ||
Dynamics | ||
Embedded Systems | ||
Digital Signal Processing | ||
Computer Networks | ||
Communications Systems | ||
Computer Architecture and Organization | ||
Mechanics of Materials | ||
Topics in Engineering | ||
Machine Learning | ||
Internet of Things | ||
Total Units | 85-87 |