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:
- Work effectively in teams to develop computational solutions to complex problems.
- Develop products and technologies that provide network/cyber-security solutions or incorporate these technologies into products that require security or network capabilities.
- Analyze technologies and situations for cyber vulnerabilities to develop improvements to attack and defense methodologies.
- Communicate technical ideas effectively in writing and verbally.
- 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 | |||
---|---|---|---|
AUCC | Credits | ||
CO 150 | College Composition (GT-CO2) | 1A | 3 |
MATH 156 or 1601 | Mathematics for Computational Science I (GT-MA1) Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
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 201 | Ethical Computing Systems (GT-AH3) | 3B | 3 |
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 Engineers | 3A | ||
Honors Seminar: Knowing in the Sciences | 3A | ||
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 Inclusion | 1C | 3 | |
Electives3 | 1-5 | ||
Total Credits | 26-34 | ||
Sophomore | |||
CS 165 | CS2--Data Structures | 4 | |
CS 220 | Discrete 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 Perspectives | 3D | 3 | |
Social and Behavioral Sciences | 3C | 3 | |
Elective | 0-4 | ||
Total Credits | 26-34 | ||
Junior | |||
CS 314 | Software Engineering | 4A,4B | 3 |
CS 320 | Algorithms--Theory and Practice | 3 | |
CS 356 | Systems Security | 3 | |
CS 370 | Operating 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 Writing | 2 | 3 | |
Electives | 3-6 | ||
Total Credits | 27-33 | ||
Senior | |||
CS 456 | Modern CyberSecurity | 4C | 4 |
CS 457 | Computer Networks and the Internet | 4C | 4 |
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.
Code | Title | Credits |
---|---|---|
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 350 | Molecular and General Genetics | 4 |
BZ 360 | Bioinformatics and Genomics | 4 |
CIS 320 | Project Management for Information Systems | 3 |
CIS 350 | Operating Systems and Networks | 3 |
CIS 360 | Systems Analysis and Design | 3 |
CIS 413 | Advanced Networking and Security | 3 |
CIS 455 | Advanced Database Management | 3 |
ECE 452 | Computer Organization and Architecture | 3 |
ENGR 422 | Technology Entrepreneurship | 3 |
JTC 372 | Web Design and Development | 3 |
JTC 472 | Advanced Web Design and Development | 3 |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 4 |
MATH 256 | Mathematics for Computational Science II | 4 |
MGT 330 | Creativity, Innovation, and Value Creation | 3 |
MGT 340 | Fundamentals of Entrepreneurship | 3 |
MGT 420 | New Venture Creation | 3 |
PHIL 410 | Gödel's Incompleteness Theorems | 3 |
PHIL 411 | Logic in Philosophy and Beyond | 3 |
PHIL 415 | Logic and Scientific Method | 3 |
PSY 252 | Mind, Brain, and Behavior | 3 |
PSY 352 | Learning and Memory | 3 |
PSY 452 | Cognitive Psychology | 3 |
PSY 454 | Biological Psychology | 3 |
PSY 456 | Sensation and Perception | 3 |
PSY 458 | Cognitive Neuroscience | 3 |
- 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 1 | Critical | Recommended | AUCC | Credits | |
CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
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 | 3A | 4 | ||
Diversity, Equity, and Inclusion | X | 1C | 3 | ||
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 2 | Critical | Recommended | AUCC | Credits | |
CS 201/PHIL 201 | Ethical Computing Systems (GT-AH3) | X | 3B | 3 | |
MATH 156 or 160 | Mathematics for Computational Science I (GT-MA1) Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
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 | 3A | 3 | ||
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 3 | Critical | Recommended | AUCC | Credits | |
CS 165 | CS2--Data Structures | X | 4 | ||
CS 220 | Discrete Structures and their Applications | X | 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 | X | 3D | 3 | ||
Elective | X | 0-2 | |||
Total Credits | 12-16 | ||||
Semester 4 | Critical | Recommended | AUCC | Credits | |
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 | X | 3C | 3 | ||
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 5 | Critical | Recommended | AUCC | Credits | |
CS 314 | Software Engineering | X | 3 | ||
CS 370 | Operating Systems | X | 3 | ||
Technical Elective (See list on Concentration Requirements Tab) | X | 3-4 | |||
Advanced Writing | X | 2 | 3 | ||
Elective | 3 | ||||
CS 253 must be completed by the end of Semester 5. | X | ||||
Total Credits | 15-16 | ||||
Semester 6 | Critical | Recommended | AUCC | Credits | |
CS 320 | Algorithms--Theory and Practice | X | 3 | ||
CS 356 | Systems Security | X | 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 7 | Critical | Recommended | AUCC | Credits | |
CS 456 | Modern CyberSecurity | X | 4C | 4 | |
CS 457 | Computer Networks and the Internet | X | 4C | 4 | |
At least two Upper-Division CS classes must be completed by the end of Semester 7. | X | ||||
Electives | X | 7 | |||
Total Credits | 15 | ||||
Semester 8 | Critical | Recommended | AUCC | Credits | |
Select one course from the following: | X | 4 | |||
Database Systems | |||||
Blockchain Principles and Applications | |||||
CS course numbered 400- or above, excluding 480-499 | X | 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 |