Networks connect computers and other devices so they can share information. The Networks and Security concentration involves designing, building, and maintaining networks and protecting them from cyberattacks.

Network and security technology is vitally important to almost every modern field of human endeavor including biology, physics, agriculture, medicine, defense, and more.

There is explosive demand for professionals who can understand the underlying principles of networks and security, incorporate them into products and practices, and provide defensive capabilities against cyber threats.

The Networks and Security concentration provides students core and elective courses on computer networking, systems security (including the latest trends and technologies in cyber-security), ethical hacking, operating systems, databases, and software. Students will develop fundamental skills in security architecture and analysis, cryptography, system vulnerabilities and attack vectors, malware analysis and defense, intrusion detection and protection, network architecture, engineering and network software development. The CSU Cyber-Security Center of Excellence expands upon these course offerings with lab equipment, research topics, and certification opportunities.

Learning Objectives

Upon successfully completing this program, students will be able to:

  1. Work effectively in teams to develop computational solutions to complex problems.
  2. Develop products and technologies that provide network/cyber-security solutions or incorporate these technologies into products that require security or network capabilities.
  3. Analyze technologies and situations for cyber vulnerabilities to develop improvements to attack and defense methodologies.
  4. Communicate technical ideas effectively in writing and verbally.
  5. Confidently pursue graduate studies or professional employment in networks and security and computer science.

Potential Occupations

In addition to the career opportunities open to all computer science graduates, the networks and security concentration opens career paths that include:

Software developer, software architect, network security analyst, software project manager, computer systems security analyst, computer and information systems manager, and R&D jobs for both cyber-security attack and defense.

Employers in a wide range of fields recognize the need for network and cyber-security architecture and implementations within their domains, which creates R&D and management opportunities across a wide job market.

Effective Fall 2023

A minimum grade of C (2.000) is required in CO 150 and in all CS, DSCI, MATH, STAT and departmental Technical Elective courses which are required for graduation.

Freshman
AUCCCredits
CO 150College Composition (GT-CO2)1A3
MATH 156 or 1601Mathematics for Computational Science I (GT-MA1)
Calculus for Physical Scientists I (GT-MA1)
1B4
Select one group from the following:2 5-9
Group A:
  
Culture and Coding: Java (GT-AH3)
Culture and Coding: Python (GT-AH3)
3B 
CS1--Introduction to Java Programming
CS1--Computational Thinking with Java
  
Group B:
  
3B 
Python for STEM  
CS1--Introduction to Java Programming
CS1--Computational Thinking with Java
  
Group C:
  
3B 
CS1---No Prior Programming Experience  
CS 201/PHIL 201Ethical Computing Systems (GT-AH3)3B3
Select at least two courses totaling a minimum of 7 credits from the following (one course must be or include the sequenced laboratory): 7
Introduction to Astronomy (GT-SC2)3A 
Human Origins and Variation (GT-SC2)3A 
Principles of Animal Biology (GT-SC2)3A 
Principles of Plant Biology (GT-SC1)3A 
Fundamentals of Chemistry (GT-SC2)3A 
General Chemistry I (GT-SC2)3A 
Exploring Earth - Physical Geology (GT-SC2)3A 
The Blue Planet - Geology of Our Environment (GT-SC2)3A 
Geology of Natural Resources (GT-SC2)3A 
Physical Geology for Scientists and Engineers3A 
Honors Seminar: Knowing in the Sciences3A 
Attributes of Living Systems (GT-SC1)3A 
Biology of Organisms-Animals and Plants (GT-SC1)3A 
Introductory Genetics: Applied/Population/Conservation/Ecological (GT-SC2)3A 
Introductory Genetics: Molecular/Immunological/Developmental (GT-SC2)3A 
Fundamentals of Ecology (GT-SC2)3A 
Oceanography (GT-SC2)3A 
General Physics I (GT-SC1)3A 
General Physics II (GT-SC1)3A 
Physics for Scientists and Engineers I (GT-SC1)3A 
Physics for Scientists and Engineers II (GT-SC1)3A 
Diversity, Equity, and Inclusion1C3
Electives3 1-5
 Total Credits 26-34
Sophomore
 
CS 165CS2--Data Structures 4
CS 220Discrete Structures and their Applications 4
Select one group from the following: 4-5
Group A  
Software Development  
C++ Fundamentals  
Group B  
Software Development with C++  
Select one course from the following: 4
Computer Systems Foundations  
Computer Organization  
Select one course from the following: 3-4
Linear Algebra for Data Science  
Linear Algebra I  
Select one course from the following: 1-3
Introduction to Applied Statistical Methods  
Statistics Supplement: General Applications  
Introduction to Biostatistics  
Intro to Theory and Practice of Statistics  
Historical Perspectives3D3
Social and Behavioral Sciences3C3
Elective 0-4
 Total Credits 26-34
Junior
 
CS 314Software Engineering4A,4B3
CS 320Algorithms--Theory and Practice 3
CS 356Systems Security 3
CS 370Operating Systems 3
Any CS course numbered 300- or above, excluding 380-399 and 480-499  3-4
Technical Electives (see list below) 6-8
Advanced Writing23
Electives 3-6
 Total Credits 27-33
Senior
 
CS 456Modern CyberSecurity4C4
CS 457Computer Networks and the Internet4C4
Select one course from the following: 4
Database Systems  
Blockchain Principles and Applications  
CS course numbered 400- or above, excluding 480-499 4
Electives4 14
 Total Credits 30
 Program Total Credits: 120

Technical Electives (6 credits minimum)

Select a minimum of 6 credits, of which 3 credits must be upper-division. 

Any CS, CT, DSCI, IDEA, or MATH courses numbered 300- or above, excluding 380-399 and 480-499, and DSCI 369, MATH 369, and CT 301
Any STAT Courses numbered 300- or above, excluding 301, 302A, 307, 315, 380-399 and 480-499
BZ 350Molecular and General Genetics4
BZ 360Bioinformatics and Genomics4
CIS 320Project Management for Information Systems3
CIS 350Operating Systems and Networks3
CIS 360Systems Analysis and Design3
CIS 413Advanced Networking and Security3
CIS 455Advanced Database Management3
ECE 452Computer Organization and Architecture3
ENGR 422Technology Entrepreneurship3
JTC 372Web Design and Development3
JTC 472Advanced Web Design and Development3
MATH 161Calculus for Physical Scientists II (GT-MA1)4
MATH 256Mathematics for Computational Science II4
MGT 330Creativity, Innovation, and Value Creation3
MGT 340Fundamentals of Entrepreneurship3
MGT 420New Venture Creation3
PHIL 410Gödel's Incompleteness Theorems3
PHIL 411Logic in Philosophy and Beyond3
PHIL 415Logic and Scientific Method3
PSY 252Mind, Brain, and Behavior3
PSY 352Learning and Memory3
PSY 452Cognitive Psychology3
PSY 454Biological Psychology3
PSY 456Sensation and Perception3
PSY 458Cognitive Neuroscience3
1

MATH 156 recommended for computer science majors who do not already have MATH 160 credit.

2

Recommended sequence for most incoming students is Group A: CS 150B to CS 164.

3

CS 192 or other seminar course is a recommended elective for incoming, first semester, students.

4

Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).

Distinctive Requirements for Degree Program:

To prepare for first semester: The curriculum for the Computer Science major assumes students enter college prepared to take calculus. Entering students who are not prepared to take calculus will need to fulfill pre-calculus requirements in the first semester. All students must maintain a C (2.000) or better in CO 150 and in all CS, DSCI, MATH, STAT and departmental Technical Elective courses which are required for graduation.

Freshman
Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2)X 1A3
First course from Group A, B, or C (See options in Concentration Requirements Tab)X  3
Department Approved Science (See list on Concentration Requirements Tab)X 3A4
Diversity, Equity, and InclusionX 1C3
MATH 124 and MATH 126 may be necessary for some students to fulfill pre-calculus requirements.X   
Electives   1-5
 Total Credits   14-18
Semester 2CriticalRecommendedAUCCCredits
CS 201/PHIL 201Ethical Computing Systems (GT-AH3)X 3B3
MATH 156 or 160Mathematics for Computational Science I (GT-MA1)
Calculus for Physical Scientists I (GT-MA1)
X 1B4
Remaining course(s) from Group A, B, or C (See options in Concentration Requirements Tab)X  2-6
Department Approved Science with Lab (See list on Concentration Requirements Tab)X 3A3
CO 150 must be completed by the end of Semester 2 with a grade of C or better.X   
 Total Credits   12-16
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 165CS2--Data StructuresX  4
CS 220Discrete Structures and their ApplicationsX  4
Select one course from the following:X  1-3
Introduction to Applied Statistical Methods    
Statistics Supplement: General Applications    
Introduction to Biostatistics    
Intro to Theory and Practice of Statistics    
Historical Perspectives X3D3
Elective X 0-2
 Total Credits   12-16
Semester 4CriticalRecommendedAUCCCredits
Select one group from the following:X  4-5
Group A    
Software Development    
C++ Fundamentals    
Group B    
Software Development with C++    
Select one course from the following:X  4
Computer Systems Foundations    
Computer Organization    
Select one course from the following:X  3-4
Linear Algebra for Data Science    
Linear Algebra I    
Social and Behavioral Sciences X3C3
Elective   0-2
CS 165 and CS 220 and CS 270 must be completed by the end of Semester 4.X   
MATH 156 or MATH 160 and MATH 369 or DSCI 369 must be completed by the end of Semester 4.X   
 Total Credits   14-18
Junior
Semester 5CriticalRecommendedAUCCCredits
CS 314Software EngineeringX  3
CS 370Operating SystemsX  3
Technical Elective (See list on Concentration Requirements Tab)X  3-4
Advanced Writing X23
Elective   3
CS 253 must be completed by the end of Semester 5.X   
 Total Credits   15-16
Semester 6CriticalRecommendedAUCCCredits
CS 320Algorithms--Theory and Practice X 3
CS 356Systems SecurityX  3
CS course numbered 300- or above, excluding 380-399 and 480-499 X 3-4
Technical Elective - Upper Division (See list on Concentration Requirements Tab)   3-4
Elective   0-3
CS 314 and CS 320 and CS 370 and CS 356 must be completed by the end of Semester 6.X   
 Total Credits   12-17
Senior
Semester 7CriticalRecommendedAUCCCredits
CS 456Modern CyberSecurityX 4C4
CS 457Computer Networks and the InternetX 4C4
At least two Upper-Division CS classes must be completed by the end of Semester 7.X   
Electives X 7
 Total Credits   15
Semester 8CriticalRecommendedAUCCCredits
Select one course from the following:X  4
Database Systems    
Blockchain Principles and Applications    
CS course numbered 400- or above, excluding 480-499X  4
Electives X 7
The benchmark courses for the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   15
 Program Total Credits:   120