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:

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:

  1. Identify, formulate, and solve engineering problems in hardware, software, and integrated systems by applying principles of computer engineering, science, and mathematics
  2. 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
  3. Communicate effectively with a range of audiences
  4. Recognize ethical and professional responsibilities in computer engineering and make informed judgments, considering their impact in global, economic, environmental, and societal contexts
  5. Function effectively on teams, collaborating on tasks related to computer engineering, to establish goals, task plans, and to meet task objectives
  6. Develop and conduct appropriate experimentation, analyze results, and use principles of computer engineering to draw conclusions
  7. 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
AUCCCredits
CHEM 111General Chemistry I (GT-SC2)3A4
CHEM 112General Chemistry Lab I (GT-SC1)3A1
CO 150College Composition (GT-CO2)1A3
ENGR 111Fundamentals of Engineering 3
ENGR 114Engineering for Grand Challenges 3
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
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 165CS2--Data Structures 4
CT 301C++ Fundamentals 2
ECE 205Analog Circuits I 2
ECE 206Analog Circuits II 3
ECE 232Introduction to Project Practices 1
ECE 252Introduction to Digital Circuits 3
ECE 253Microcontrollers and C for Internet-of-Things 3
ECE 303/STAT 303Introduction to Communications Principles 3
MATH 261Calculus for Physical Scientists III 4
MATH 340Intro to Ordinary Differential Equations 4
PH 141Physics for Scientists and Engineers I (GT-SC1)3A5
 Total Credits 34
Junior
 
CS 214Software Development 3
CS 220Discrete Structures and the Applications 4
ECE 311Linear System Analysis I 3
ECON 202Principles of Microeconomics (GT-SS1)3C3
JTC 300 or CO 301BStrategic Writing and Communication (GT-CO3)
Writing in the Disciplines: Sciences (GT-CO3)
23
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 401Senior Design Project I4A,4B3
ECE 402Senior Design Project II4C3
Computer Engineering Electives - Group 2 and Group 3 and/or Technical Electives (see lists below)2 18
1C1C3
Arts and Humanities3B3
Historical Perspectives 3D3
 Total Credits 33
 Program Total Credits: 126

Computer Engineering Electives - Group 1

Choose a minimum of 11 credits from the courses below:
ECE 450Digital System Design Laboratory1
ECE 451Digital System Design3
ECE 452Computer Organization and Architecture3
ECE 456Computer Networks4
ECE 528/CS 528Embedded Systems and Machine Learning4

Computer Engineering Electives - Group 2 and Group 3

Group 2 - Choose 0-11 credits from the list below: 20-11
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: 20-3
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 

CS 310H/IDEA 310HDesign Thinking Toolbox: Mixed Reality Design3
CS 314Software Engineering3
CS 320Algorithms--Theory and Practice3
CS 345Machine Learning Foundations and Practice3
CS 356Systems Security3
CS 370Operating Systems3
CS 4XX Any CS course numbered 400-479, excluding CS 457 and CS 470
CS 5XX Any CS course numbered 500-579
CT 307High Performance Programming in Rust2
DSCI 475Topological Data Analysis2
ECE 340Electromagnetics for Computer Engineering3
ECE 4XX Any ECE course at the 400-level
ECE 495AIndependent Study 31-6
ECE 495BIndependent Study: Open Option Project 31
ECE 495CIndependent Study: Vertically Integrated Projects 31
ECE 5XX Any ECE course at the 500-level, excluding ECE 532/SYSE 532
ENGR 430Engineering With Drones3
ENGR 478Applied Engineering Data Analytics3
MATH 360Mathematics of Information Security3
MATH 450Introduction to Numerical Analysis I3
MATH 451Introduction to Numerical Analysis II3
MATH 460Information and Coding Theory3
MATH 463Post-Quantum Cryptography3
MECH 564Fundamentals of Robot Mechanics and Controls3
STAT 421Introduction to Stochastic Processes3
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 395AECE 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 1CriticalRecommendedAUCCCredits
CHEM 111General Chemistry I (GT-SC2) X3A4
CHEM 112General Chemistry Lab I (GT-SC1) X3A1
ENGR 111Fundamentals of EngineeringX  3
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
First course from Group A, B, or C (See options in Program Requirements Tab)X 3B3
 Total Credits   15
Semester 2CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2) X1A3
ENGR 114Engineering for Grand ChallengesX  3
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab)X  4
 Total Credits   14
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 165CS2--Data StructuresX  4
ECE 205Analog Circuits IX  2
ECE 252Introduction to Digital CircuitsX  3
MATH 261Calculus for Physical Scientists IIIX  4
PH 141Physics for Scientists and Engineers I (GT-SC1)X 3A5
 Total Credits   18
Semester 4CriticalRecommendedAUCCCredits
CT 301C++ Fundamentals X 2
ECE 206Analog Circuits IIX  3
ECE 232Introduction to Project PracticesX  1
ECE 253Microcontrollers and C for Internet-of-ThingsX  3
ECE 303/STAT 303Introduction to Communications PrinciplesX  3
MATH 340Intro to Ordinary Differential EquationsX  4
 Total Credits   16
Junior
Semester 5CriticalRecommendedAUCCCredits
CS 214Software DevelopmentX  3
ECE 311Linear System Analysis IX  3
JTC 300 or CO 301BStrategic Writing and Communication (GT-CO3)
Writing in the Disciplines: Sciences (GT-CO3)
 X23
Computer Engineering Electives - Group 1 (See List on Program Requirements Tab)X  4-8
 Total Credits   13-17
Semester 6CriticalRecommendedAUCCCredits
CS 220Discrete Structures and the ApplicationsX  4
ECON 202Principles of Microeconomics (GT-SS1) X3C3
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 7CriticalRecommendedAUCCCredits
ECE 401Senior Design Project IX 4A,4B3
Computer Engineering Electives (Group 2/Group 3) and Technical Electives (See Lists on Program Requirements Tab)X  10
1C X1C3
 Total Credits   16
Semester 8CriticalRecommendedAUCCCredits
ECE 402Senior Design Project IIX 4C3
Computer Engineering Electives (Group 2/Group 3) and Technical Electives (See Lists on Program Requirements Tab)X  8
Arts and HumanitiesX 3B3
Historical PerspectivesX 3D3
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