From self-driving cars to smart cities, we live in a hyper-connected world. As the smart thinkers behind today’s smart devices and systems, computer engineers hold the key to understanding, advancing, and protecting the security of next generation technologies.
A degree in computer engineering from CSU will help you make an impact beyond your computer screen. Affording a big picture view of how technology works, computer engineers look at the interplay between hardware and software to create solutions that benefit society. Have an interest in robotics, artificial intelligence, machine learning, neural networks, or data science? With coursework designed to help you understand, advance, and protect the security of next generation technologies, our professors will arm you with knowledge to drive innovation, whether creating an elegant device that fits in the palm of your hand or optimizing a colossal system to manage and move data.
While our undergraduate program gives you the option to keep your studies broad, you may also specialize in one of the following concentrations:
- Aerospace Systems Concentration
- Embedded and IoT Systems Concentration
- Networks and Data Concentration
Career Opportunities
A field of endless possibilities, career paths for computer engineers are largely dependent on personal interests. Computer Engineering alumni hold positions such as software engineer for a tech giant, designer for a start-up company, and program manager for NASA. In addition to being one of the most lucrative college majors, Computer Engineering currently ranks among the top 10 majors in demand for bachelor's, master's, and doctoral degrees according to the National Association of Colleges and Employers. Almost every industry recruits computer engineering graduates, including aerospace, biomedical and healthcare, clean energy, robotics, climate science, manufacturing, agriculture, and transportation.
Learning Objectives
The Computer Engineering program educational objectives are designed and implemented around the following three principal attributes: mastery, innovation, and leadership.
Graduates of the Computer Engineering program will be able to:
- Identify, formulate, and solve engineering problems in hardware, software, and integrated systems by applying principles of computer engineering, science, and mathematics
- Apply the engineering design process to develop computer engineering solutions, balancing technical objectives with broader considerations including public health and safety, and welfare, as well as global, cultural, social, environmental, and economic factors
- Communicate effectively with a range of audiences
- Recognize ethical and professional responsibilities in computer engineering and make informed judgments, considering their impact in global, economic, environmental, and societal contexts
- Function effectively on teams, collaborating on tasks related to computer engineering, to establish goals, task plans, and to meet task objectives
- Develop and conduct appropriate experimentation, analyze results, and use principles of computer engineering to draw conclusions
- Acquire and apply new knowledge in computer engineering, leveraging appropriate learning strategies
Effective Fall 2025
In order to maintain professional standards required of practicing engineers, the Department of Electrical and Computer Engineering requires a cumulative grade point average of at least 2.000 in Electrical Engineering courses as a graduation requirement. It is the responsibility of any student who fails to maintain a 2.000 average to work with their advisor to correct grade point deficiencies. ECE courses required for the major at the 100, 200, and 300 level must be passed with a minimum grade of C (2.000); grades below a C will require the student to retake the course. ECE courses designated as an elective are exempt from the C or higher minimum grade requirement.
| Freshman | |||
|---|---|---|---|
| AUCC | Credits | ||
| CHEM 111 | General Chemistry I (GT-SC2) | 3A | 4 |
| CHEM 112 | General Chemistry Lab I (GT-SC1) | 3A | 1 |
| CO 150 | College Composition (GT-CO2) | 1A | 3 |
| ENGR 111 | Fundamentals of Engineering | 3 | |
| ENGR 114 | Engineering for Grand Challenges | 3 | |
| MATH 160 | Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
| MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 1B | 4 |
| Select one group from the following:1 | 7 | ||
Group A | |||
| Culture and Coding: Python (GT-AH3) | 3B | ||
| CS1--Computational Thinking with Java | |||
Group B | |||
| 3B | |||
| Python for STEM | |||
| CS1--Introduction to Java Programming | |||
Group C | |||
| 3B | |||
| CS1---No Prior Programming Experience | |||
| Total Credits | 29 | ||
| Sophomore | |||
| CS 165 | CS2--Data Structures | 4 | |
| CT 301 | C++ Fundamentals | 2 | |
| ECE 205 | Analog Circuits I | 2 | |
| ECE 206 | Analog Circuits II | 3 | |
| ECE 232 | Introduction to Project Practices | 1 | |
| ECE 252 | Introduction to Digital Circuits | 3 | |
| ECE 253 | Microcontrollers and C for Internet-of-Things | 3 | |
| ECE 303/STAT 303 | Introduction to Communications Principles | 3 | |
| MATH 261 | Calculus for Physical Scientists III | 4 | |
| MATH 340 | Intro to Ordinary Differential Equations | 4 | |
| PH 141 | Physics for Scientists and Engineers I (GT-SC1) | 3A | 5 |
| Total Credits | 34 | ||
| Junior | |||
| CS 214 | Software Development | 3 | |
| CS 220 | Discrete Structures and the Applications | 4 | |
| ECE 311 | Linear System Analysis I | 3 | |
| ECON 202 | Principles of Microeconomics (GT-SS1) | 3C | 3 |
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | 2 | 3 |
| Select a minimum of three credits from the following: | 3 | ||
| Linear Algebra for Data Science | |||
| Linear Algebra I | |||
| Computer Engineering Electives - Group 1 (see list below) | 11 | ||
| Total Credits | 30 | ||
| Senior | |||
| ECE 401 | Senior Design Project I | 4A,4B | 3 |
| ECE 402 | Senior Design Project II | 4C | 3 |
| Computer Engineering Electives - Group 2 and Group 3 and/or Technical Electives (see lists below)2 | 18 | ||
| 1C | 1C | 3 | |
| Arts and Humanities | 3B | 3 | |
| Historical Perspectives | 3D | 3 | |
| Total Credits | 33 | ||
| Program Total Credits: | 126 | ||
Computer Engineering Electives - Group 1
| Code | Title | Credits |
|---|---|---|
| Choose a minimum of 11 credits from the courses below: | ||
| ECE 450 | Digital System Design Laboratory | 1 |
| ECE 451 | Digital System Design | 3 |
| ECE 452 | Computer Organization and Architecture | 3 |
| ECE 456 | Computer Networks | 4 |
| ECE 528/CS 528 | Embedded Systems and Machine Learning | 4 |
Computer Engineering Electives - Group 2 and Group 3
| Code | Title | Credits |
|---|---|---|
| Group 2 - Choose 0-11 credits from the list below: 2 | 0-11 | |
| Optimization Methods in Data Science | ||
| Linear System Analysis II | ||
| Electronics Principles I | ||
| Electronics Principles II | ||
| Group 3 - Choose 0-3 credits from the list below: 2 | 0-3 | |
| Independent Study 3 | ||
| Independent Study: Open Option Project 3 | ||
| Independent Study : Vertically Integrated Project 3 | ||
| Design Thinking Toolbox : Creating Things That Think | ||
| Design Thinking Toolbox: Digital Interaction and Game Design | ||
Technical Electives 4-18 credits
| Code | Title | Credits |
|---|---|---|
| CS 310H/IDEA 310H | Design Thinking Toolbox: Mixed Reality Design | 3 |
| CS 314 | Software Engineering | 3 |
| CS 320 | Algorithms--Theory and Practice | 3 |
| CS 345 | Machine Learning Foundations and Practice | 3 |
| CS 356 | Systems Security | 3 |
| CS 370 | Operating Systems | 3 |
| CS 4XX Any CS course numbered 400-479, excluding CS 457 and CS 470 | ||
| CS 5XX Any CS course numbered 500-579 | ||
| CT 307 | High Performance Programming in Rust | 2 |
| DSCI 475 | Topological Data Analysis | 2 |
| ECE 340 | Electromagnetics for Computer Engineering | 3 |
| ECE 4XX Any ECE course at the 400-level | ||
| ECE 495A | Independent Study 3 | 1-6 |
| ECE 495B | Independent Study: Open Option Project 3 | 1 |
| ECE 495C | Independent Study: Vertically Integrated Projects 3 | 1 |
| ECE 5XX Any ECE course at the 500-level, excluding ECE 532/SYSE 532 | ||
| ENGR 430 | Engineering With Drones | 3 |
| ENGR 478 | Applied Engineering Data Analytics | 3 |
| MATH 360 | Mathematics of Information Security | 3 |
| MATH 450 | Introduction to Numerical Analysis I | 3 |
| MATH 451 | Introduction to Numerical Analysis II | 3 |
| MATH 460 | Information and Coding Theory | 3 |
| MATH 463 | Post-Quantum Cryptography | 3 |
| MECH 564 | Fundamentals of Robot Mechanics and Controls | 3 |
| STAT 421 | Introduction to Stochastic Processes | 3 |
- 1
Recommended sequence for most incoming students is Group A: CS 150B to CS 164.
- 2
Students will use 0-11 credits of Group 2 and 0-3 of Group 3 Computer Engineering Electives and 4-18 credits of Technical Electives to reach the required total of 126 program credits.
- 3
A total of 6 credits of Independent Study may apply toward total degree requirements. This includes credit awarded for ECE 395A, ECE 395B, ECE 395C, ECE 495A, ECE 495B, and ECE 495C combined.
Distinctive Requirements for Degree Program:
TO PREPARE FOR FIRST SEMESTER: The curriculum for this major assumes students enter college prepared to take calculus.
In order to maintain professional standards required of practicing engineers, the Department of Electrical and Computer Engineering requires a cumulative grade point average of at least 2.000 in Electrical Engineering courses as a graduation requirement. It is the responsibility of any student who fails to maintain a 2.000 average to work with their advisor to correct grade point deficiencies. ECE courses required for the major at the 100, 200, and 300 level must be passed with a minimum grade of C (2.000); grades below a C will require the student to retake the course. ECE courses designated as an elective are exempt from the C or higher minimum grade requirement.
| Freshman | |||||
|---|---|---|---|---|---|
| Semester 1 | Critical | Recommended | AUCC | Credits | |
| CHEM 111 | General Chemistry I (GT-SC2) | X | 3A | 4 | |
| CHEM 112 | General Chemistry Lab I (GT-SC1) | X | 3A | 1 | |
| ENGR 111 | Fundamentals of Engineering | X | 3 | ||
| MATH 160 | Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
| First course from Group A, B, or C (See options in Program Requirements Tab) | X | 3B | 3 | ||
| Total Credits | 15 | ||||
| Semester 2 | Critical | Recommended | AUCC | Credits | |
| CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
| ENGR 114 | Engineering for Grand Challenges | X | 3 | ||
| MATH 161 | Calculus for Physical Scientists II (GT-MA1) | X | 1B | 4 | |
| Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab) | X | 4 | |||
| Total Credits | 14 | ||||
| Sophomore | |||||
| Semester 3 | Critical | Recommended | AUCC | Credits | |
| CS 165 | CS2--Data Structures | X | 4 | ||
| ECE 205 | Analog Circuits I | X | 2 | ||
| ECE 252 | Introduction to Digital Circuits | X | 3 | ||
| MATH 261 | Calculus for Physical Scientists III | X | 4 | ||
| PH 141 | Physics for Scientists and Engineers I (GT-SC1) | X | 3A | 5 | |
| Total Credits | 18 | ||||
| Semester 4 | Critical | Recommended | AUCC | Credits | |
| CT 301 | C++ Fundamentals | X | 2 | ||
| ECE 206 | Analog Circuits II | X | 3 | ||
| ECE 232 | Introduction to Project Practices | X | 1 | ||
| ECE 253 | Microcontrollers and C for Internet-of-Things | X | 3 | ||
| ECE 303/STAT 303 | Introduction to Communications Principles | X | 3 | ||
| MATH 340 | Intro to Ordinary Differential Equations | X | 4 | ||
| Total Credits | 16 | ||||
| Junior | |||||
| Semester 5 | Critical | Recommended | AUCC | Credits | |
| CS 214 | Software Development | X | 3 | ||
| ECE 311 | Linear System Analysis I | X | 3 | ||
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | X | 2 | 3 | |
| Computer Engineering Electives - Group 1 (See List on Program Requirements Tab) | X | 4-8 | |||
| Total Credits | 13-17 | ||||
| Semester 6 | Critical | Recommended | AUCC | Credits | |
| CS 220 | Discrete Structures and the Applications | X | 4 | ||
| ECON 202 | Principles of Microeconomics (GT-SS1) | X | 3C | 3 | |
| Select one course from the following: | X | 3 | |||
| Linear Algebra for Data Science | |||||
| Linear Algebra I | |||||
| Computer Engineering Electives - Group1 (See List on Program Requirements Tab) | X | 3-7 | |||
| Total Credits | 13-17 | ||||
| Senior | |||||
| Semester 7 | Critical | Recommended | AUCC | Credits | |
| ECE 401 | Senior Design Project I | X | 4A,4B | 3 | |
| Computer Engineering Electives (Group 2/Group 3) and Technical Electives (See Lists on Program Requirements Tab) | X | 10 | |||
| 1C | X | 1C | 3 | ||
| Total Credits | 16 | ||||
| Semester 8 | Critical | Recommended | AUCC | Credits | |
| ECE 402 | Senior Design Project II | X | 4C | 3 | |
| Computer Engineering Electives (Group 2/Group 3) and Technical Electives (See Lists on Program Requirements Tab) | X | 8 | |||
| Arts and Humanities | X | 3B | 3 | ||
| Historical Perspectives | X | 3D | 3 | ||
| The benchmark courses for the 8th semester are the remaining courses in the entire program of study. | X | ||||
| Total Credits | 17 | ||||
| Program Total Credits: | 126 | ||||

