Online Bachelor's Degree in Cybersecurity Engineering

Bachelor of Science in Computer Science – Cybersecurity Engineering Concentration

Cybersecurity threats are among the more serious issues facing companies and organizations today. For students interested in learning how to develop software that could help prevent cyberattacks and systems to detect network breaches, the Bachelor of Science in Computer Science-Cybersecurity Engineering program at CTU could be an exciting option. Students can study new models, methods, technologies, and tools in computer science and software engineering. Additionally, they can also explore how to analyze processes and techniques to construct software solutions to cost-effectively implement cyber-defense strategies. This degree program includes hands-on programming and real-world case studies taught by industry professionals, all designed to help students prepare for the exciting field of cybersecurity.

183

Program Credits

5 Weeks

Course Length

Online Colorado Springs

Location

Estimate your costs, potential savings and graduation date.

Estimate Your Tuition

Request Information

Fill out this brief form and a CTU Admissions Advisor will contact you and help with your degree questions.

*All fields are required

Are you affiliated with the military?*

Yes No

By clicking the “I AGREE & SUBMIT” button below, I consent to CTU using automated technology and/or artificial or pre-recorded voices/means to email, call, and text me at the phone number above regarding educational services. I understand that my consent is not required as a condition to purchase a good or services. I am providing an e-signature confirming my consent and my agreement to CTU’s "Terms of Use" and "Privacy Policy". Msg and data rates may apply.

Bachelor's in Cybersecurity Engineering Program Overview

Effective August 2023, this program is no longer available for future enrollments at the Aurora Campus.

The Bachelor of Science in Computer Science (BSCS) with a concentration in Cybersecurity Engineering is a 183-credit hour program that is offered online and at the Colorado Springs campus. The program consists of 51 general education credits, 88 credit hours in the computer science core, and 44 credit hours in the cybersecurity engineering concentration. The curriculum has been enhanced to incorporate emerging topics in artificial intelligence and modern computing practices.

The Bachelor of Science in Computer Science program is designed for students who are interested in pursuing a career centered on building computer software solutions through programming with algorithmic techniques. Students will explore a broad range of theoretical and practical knowledge, methods, processes, techniques and skills to effectively design and develop the computer software according to domain-specific requirements.

The curriculum of BSCS offers broad and detailed knowledge on how a computer’s software works, and how to design and develop different levels and types of computer software. This is different from the curriculum of the Computer Engineering program which is focused on how to design and develop computer hardware. It is also different from the curriculum of the Information Technology program, which is focused on how to apply both computer hardware and software to design, develop and support high level end-user-oriented business systems, services or applications.

This program does not lead to additional licensure or certification. As such, CTU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.

Through innovative, industry-relevant curricula and technology-enabled, student-centered teaching, the College of Computer Science, Engineering, and Technology empowers a diverse student population to become motivated, creative, ethical, and skillful professionals. By fostering AI literacy and developing AI competency alongside core experience in Computer Science, Computer/Electrical Engineering, and Information Technology, the College helps students prepare to address complex challenges in the digital economy and achieve their personal and professional goals.

For the 9th consecutive year, CTU's Online Bachelor's degree programs are ranked among the Best Online by U.S. News & World Report.*

* CTU programs are ranked among U.S. News & World Report’s 2023 Best Online Programs.

The Department of Homeland Security and the National Security Agency have recognized Colorado Technical University as a National Center of Academic Excellence in Cyber Defense (CAE-CD). The Bachelor of Science in Computer Science program with a concentration in Cybersecurity Engineering was validated thereby to map to the DHS/NSA cybersecurity knowledge units.

Outcomes for this program align with the educational standards of ABET.

Estimate your costs, potential savings and graduation date

Get an estimate of your degree program costs and graduation date in as little as five minutes.

Calculate Now

Cybersecurity Engineering Courses

Courses: General Education		Credits
COMS105 This course explores the importance of effective interpersonal communication. This course covers: how interpersonal communication impacts an individual, how to recognize the different methods of communication and establishing and maintaining personal and professional relationships through effective communication.	Interpersonal Communications	4.5
ENGL104 ENGL104 is the first course in a sequence of two composition classes designed to empower students to develop their voice, build confidence in writing, and develop both their writing and critical thinking skills. Students will have the opportunity to practice adapting their writing for different audiences, purposes, and platforms, and will be able to explore how the choices they make influence the meaning and success of their written communications. This course explores the use of the writing process to compose clear, organized writings that are appropriate for various audiences and purposes. This course introduces the importance of clear and persuasive writing in personal, professional, and academic contexts.	Introductory Written Communication	4.5
ENGL105 ENGL105 is the final course in the composition sequence and builds on the writing skills developed in ENGL104. In this course, students continue to practice writing for a variety of contexts, purposes, and audiences. Throughout the course, students incorporate research into their writing by using digital tools and resources to identify and cite credible sources following CTU APA guidelines.	Professional Written Communications	4.5
HIST120 This course introduces students to the events, conflicts, key figures, and turning points in United States History from 1950 to the present. Emphasizing the relationship between history and peoples’ lived experiences, this course examines key events, social movements, and the changing roles of the United States in the world. Exploring how historians use evidence to better understand the past, this course will also examine how history is shaped by different contexts and perspectives. Throughout the course, connections will be made between issues and events of the past and those that we face today.	Intro to American History: 1950 to the Present	4.5
MATH111 This course is designed to review concepts of elementary algebra and introduce students to additional algebraic concepts used in computing disciplines. Students will have the opportunity to develop problem solving skills for success in technical fields. Specifically, this course covers the relationship between functions and their graphs, techniques for solving a variety of equations, and matrices for solving systems of linear equations.	College Algebra for Technical Programs	4.5
PHIL101 This course is designed to provide students a basic understanding of moral and ethical theories and concepts. The activities and discussions encourage students to explore and solve ethical dilemmas by identifying and applying moral and ethical theories. Students will also be encouraged to explain their reasoning from cultural, professional, and personal standpoints. A variety of ethical issues and methodologies will be explored, as students evaluate moral dilemmas in an assortment of work and life scenarios.	Introduction to Ethics	4.5
PSYC102 Psychology is fundamental to every field in academic study. This course is designed to teach students a basic understanding of human behavior as well as emotional and cognitive development. Coursework incorporates terminology, principles, and foundational theories that comprise modern concepts of introductory psychology. This course is designed to teach students using practical, real-world application of course concepts within their professional, personal, and relational lives.	Introductory Psychology	4.5
SCI101 This course introduces students to the physical, life, and Earth sciences. Students have the opportunity to explore the principles of scientific critical thinking. Utilizing the Scientific Method, as well as other quantitative and qualitative approaches, students can draw meaningful conclusions about the real world.	Introduction to the Sciences	4.5
SCI103 This is a learning experience that complements the Introduction to the Sciences course. Since the course addresses how scientific thinking and the resultant technology has changed modern life, this lab will provide students with experiences in the scientific approaches of different sciences covered, such as: biology, chemistry, physics, geology and astronomy. This lab will be constructed specifically to extend the learning from each unit of the Introduction to the Sciences course, designed to provide experiences which deepen students’ familiarity with the scientific method and way of asking questions and solving problems.	Science and Technology- Laboratory Course	1.5
SCI201 This course analyzes the interrelationships between the natural environment and human activities. In this course, students are taught about the preservation and conservation of natural resources and the resilience of the natural environment with respect to the carrying capacity of the earth. Furthermore, students will explore topics related to environmental ethics and apply principles of sustainability to issues impacting natural resources and biodiversity. Finally, this course will teach a holistic approach in learning about environmental problems and rehabilitation through individual and group behavioral changes and environmental regulations.	Environmental Science and Sustainability	4.5
SOCL102 This course introduces students to the study of sociology and how it applies to careers, community, and family. Sociology examines the nature of society including the theories and principles of multi-cultural and social interactions. This course addresses how the concepts of social organization, social institutions, and social changes influence everyday life.	Introductory Sociology	4.5
UNIV104 UNIV104 is designed to provide students with a foundation for success in CTU’s undergraduate academic environment. This course introduces effective academic strategies and resources integrating them with career planning methods that can be leveraged to pursue future academic and professional goals.	Academic and Career Success	4.5
	Total Credit Hours:	51

Courses: Core		Credits
CS101 This course introduces students to the foundational aspects of Computer Science as a discipline. Students will be provided with an overview of core Computer Science knowledge areas. The course will discuss the spectrum of computation technologies and their typical applications. Finally, the course will discuss problem-solving techniques and critical thinking methods that are commonly used in Computer Science.	Problem Solving in Computer Science	4
CS118 This course is designed to provide a comprehensive introduction of programming languages including assembly, scripting, procedural, and Object-Oriented languages. For each type of programming language, construction components and techniques will be presented and the main application suitability will also be discussed with real world examples. Students will also explore and apply common programming language constructs (e.g., data type, function, procedure, linear, branching, iteration, subroutines, etc.) through assignments in which students will be required to use proper language constructs to design programming logic. Students will also explore the process of problem-solving by programming.	Principles of Programming Languages	4
CS119 This course introduces students to an introductory programming language which can demonstrate several common types of programming models such as scripting, procedural, and object-oriented programming in one language. The course covers algorithmic logic, basic declarations and statements, control structures, data and program design, basic concepts of object-orientation, and also covers how to organize multiple program components into a single programming project. Students will be required to complete several programming/scripting exercises throughout the course. The course will assist students in building up a practical foundation to study other programming languages.	Introduction of Programming	4
CS141 This course introduces students to the fundamentals of computer organization and architecture. Topics include basic assembly-level machine organization, memory system organization and architecture, computer interfacing and communication, multiprocessing and alternative architectures, as well as the concepts of performance and the architectural support for performance enhancements.	Fundamentals of Computer Organization and Architecture	4
CS219 This course will give students the opportunity to extend their programming skills through use of Python programming language. The foundation of object-oriented and event-driven programming will be discussed and applied in this course. Topics studied will include the use of data structures, the creation of classes and objects, and the application of inheritance and polymorphism, etc. Students need to demonstrate an intermediate level competency of using Python to conduct programming tasks.	Python Programming	4
CS221 This course will give students the opportunity to extend their database knowledge and skills through applying the theory from CS252 into practical applications implemented by programming in Structured Query Language (SQL). In a lab setting, students will explore how to analyze a business problem, model data flow, create a conceptual and logical database designs, and implement these designs through programming in SQL. Students will also develop applications to access these databases. Students need to demonstrate an intermediate level competency of using SQL to develop database based applications.	SQL Programming	4

CS226 This course provides students an opportunity to learn Java, another object-oriented programming (OOP) language, through the development of a software application. Students will use various Java language features to create classes and objects, and apply inheritance to construct solutions. In a lab setting, students will use an IDE (Integrated Development Environment) to incrementally implement and test the software application. Students need to demonstrate an intermediate level competency of using Java to conduct programming tasks.	Java Programming	4
	or
MATH307 This course introduces essential concepts in linear algebra and calculus that serve as the mathematical groundwork for AI. Students will have the opportunity to develop fluency in matrix operations, vector spaces, and multivariable calculus, which support the development and understanding of AI algorithms.	Mathematical Foundations for AI	4

CS228 This course provides students an opportunity to learn C++, another object-oriented programming (OOP) language, through the development of a software application. Students will apply C++ language features to create classes and objects; and also apply object-oriented features such as inheritance, operator overloading, polymorphism, and templates to construct solutions. In a lab-oriented setting, students will incrementally implement and test the software application. Students need to demonstrate an intermediate level competency of using C++ to conduct programming tasks.	C++ Programming	4
	or
AI210 This course provides a comprehensive introduction to the foundations of Machine Learning, a key branch of Artificial Intelligence. Students will explore commonly used algorithms and techniques and delve into various applications of Machine Learning. The course covers the strengths and weaknesses of different machine learning algorithms, including decision trees, neural networks, clustering, Naive Bayes, and regression, tailored to specific application requirements. Additionally, students will learn how these algorithms are used with training datasets to create machine learning models, which are then used to make predictions or decisions based on new data. Practical skills will be honed through hands-on labs, where students will train, test, and evaluate the performance of Machine Learning models using confusion metrics.	Fundamentals of Machine Learning	4

CS233 This course introduces students to the principles and idiosyncrasies behind representatives of some of the different types of data structures. The course includes an examination of arrays, stacks, queues, lists, and trees. Students will study these principles through the completion of several programs.	Fundamentals of Data Structures	4
CS253 This course introduces the basic database management system (DBMS) concepts including relational data models, database management system architecture and components, as well as structured query language (SQL), etc. Topics such as conceptual, logical and physical database designs will be covered and applied for several small real-world database application projects.	Introduction to Database Systems	4
CS267 Students are introduced to classical algorithms, including searching and sorting, hashing and information retrieval, with an emphasis on their applicability to solve real-world problems. Basic techniques to analyze and design algorithms are covered. Average and asymptotic behaviors are discussed. Complexity algorithms issues, performance characteristics, and estimating their potential effectiveness in applications are explored.	Computer Algorithms	4
CS311 As a foundation course for students looking to acquire programming skills in mobile platforms, this course introduces students to application development process for mobile devices. The course illustrates the commonalities and differences between the development process and workflow, application design methodology and principles, as well as the implementation tools for mobile computing as contrasted with those for desktop computing. The design and implementation constraints will be covered and addressed through a hand-on project to build a solution to a problem involving mobile computing.	Mobile Programming	4
CS337 Parallel programming is a fundamental programming skill to construct high performance solutions for complicated computation tasks. This course introduces the basic concepts of parallel programming including parallel computer architectures, analytical modeling of parallel programs, and principles of parallel algorithm design, as well as effective techniques commonly used in coding, debugging, and testing parallel software.	Introduction to Parallel Computing	4
CS341 In this course, students are introduced to the design and the implementation concepts of modern operating systems. The topics covered include basic capabilities of operating systems, virtual memory, resource allocation and management, concurrent processes and threads, deadlock detection and prevention, protection and security, I/O and file systems, batch and interactive subsystems. Completion of the course requires the student to perform several lab exercises that investigate and exercise key operating system features.	Principles of Operating Systems	4
CS349 This course introduces students to the software development processes and methods. The course explains the traditional Software Development Life Cycle (SDLC) encompassing requirements collection and analysis, design, implementation, testing and the maintenance phases. The course also introduces principles and techniques supporting topics such as software development project management, people management, software requirements, system models, software design, verification and validation, software maintenance and enhancements, and ethical responsibilities.	Software Engineering	4
CS356 Big data analytics is a critical tool to enable corporations to gain and keep their competitive advantages. To be able to apply various computer technologies to either establish or execute business related data analysis applications is a key skill for any professional with a computer science degree. This course explores the fundamental computer technologies that are required for utilizing a big data analytics applications, including how to store, pre-process, query and visualize big data, as well as how to extract the useful business information through various highly efficient data analysis techniques running on various types of computer platforms connected by various types of communication networks.	Foundations of Big Data Analytics	4
CS491 This is the first course in a two course sequence that entails the end-to-end development of a software application in a project team setting. Students in this class will work in project teams. Every student will join only one project team and will assume at least one type of job function typical in a software development project, such as requirement collection and analysis, system function specification, architecture design, component design, prototyping, implementation, testing, project management, etc. Each project team typically consists of students from the same concentration. However, students from the different concentrations may be allowed to work in the same project team. The course reinforces the principles of requirements collection/analysis and software design using engineering processes, methods and tools. As members of a project team, students will work to define the problem or opportunity, identify constraints, collect the requirements, complete a high level design, and prepare a product prototype. Students also deliver a professional report and presentation.	Computer Science Team Project I	4
CS492 This is the second course in a two course sequence that entails the end-to-end development of a software application in a project team setting. The course reinforces students' abilities to choose and apply the right principles, engineering processes, methods, and tools to conduct productive software implementation and testing. As members of a project team, students will use the requirements, design specifications, and the prototype created in CS491 to implement and test the produced software application. Every project team will provide a live demo of the running application they have produced to other project teams, and students will be required to provide their feedback regarding the demos made by other project teams.	Computer Science Team Project II	4
CSS150 This course provides the foundation for the study of computer system security. The course centers around the ten domains comprising the Information Security Common Body of Knowledge. Topics include access control systems, telecommunications and network security, cryptography, operations security and business continuity and disaster recovery planning. Students will be exposed to security management practices as well as security architecture and models security laws, investigations and ethics.	Introduction to Computer Security	4
IT204 This course serves as an introduction for students to acquire a foundation in current data communication and networking technologies. The course provides an introduction to the hardware, media, Ethernet, addressing, IP Configuration, components, and connections of a network. Network concepts such as network topologies, and major protocols, as well as the basic functions of network administration and operation are covered.	Fundamentals of Networking	4

MATH211 This course introduces students to Discrete Math concepts and provides tools for logical thinking critical for success in computer science and information technology applications. Students will have the opportunity to become familiar with number systems, logic, Set Theory, sorting and searching algorithms, data structures, and counting theories. In addition, they will focus on problem solving strategies important for success in technical careers.	Applications of Discrete Mathematics for Computer Systems and IT	4
	or
MATH212 This course studies problems that involve finite or discrete data sets. Logic and set notation form a foundation for creating structure in data storage and information retrieval. Tools used include truth tables, methods of proof, Venn diagrams, graphs, trees, paths, and matrices. Additional topics include defining formal languages and recognizing syntactically correct sentences. Additional techniques include automata, digraphs, state transition tables and context free grammars.	Fundamentals of Discrete Mathematics	4
MATH311 An elementary coverage of statistical techniques is augmented at each step with the aid of technology for data processing and analysis in making inferences. Graphical presentation and statistical measures are studied, followed by basic probability concepts leading to binomial and normal distributions. Hypothesis testing is applied to drawing inferences for one and two population parameters. A graphing calculator or equivalent technology is required.	Data Driven Statistics for Computer Systems and IT	4
	or
MATH312 An elementary coverage of statistical techniques is augmented at each step with the aid of technology for data processing and analysis in making inferences. Graphical presentation and statistical measures are studied, followed by basic probability concepts leading to binomial and normal distributions. Hypothesis testing is applied to drawing inferences for one and two population parameters. A graphing calculator or equivalent technology is required.	Principles of Probability and Statistics	4
	Total Credit Hours:	88

Courses - Concentration		Credits
CS227 This course introduces students to the basic features of the Linux operating system and the fundamentals of Linux programming. Through several hands-on exercises and projects, students will be exposed to the Linux utility commands, file system and directories, the Linux shells, and the shell script programming. Students need to demonstrate an intermediate level competency in Linux shell programming.	Linux Programming	4
CSS200 This course identifies and explains technical issues involved in network security. It also covers the fundamentals of wireless networking protocols, their security issues and threats. Covered topics include cryptography applications; access control; firewalls; key management network security issues; application, e-mail and middleware security; wireless local area network technologies.	Principles of Network Security	4

CSS250 This course addresses the concepts of risk management. The course explores general methodologies used to assess and manage risks to information security. The course also identifies the activities involved in the process of information security risk management for a business organization. Activities such as detection, recovery and damage control methods will be explored.	Security Risk Management	4
	or
AI330 The course covers the fundamentals of artificial intelligence (AI) for cybersecurity, including integration of AI models into cybersecurity workflows, focusing on threat detection, mitigation, and ethical considerations. The course also provides hands-on Labs for students to use AI techniques in cybersecurity applications.	AI for Cybersecurity	4

CSS280 This course covers ways that computers and networks are attacked by hackers using techniques and common utilities. Learners explore security threats and ways that system vulnerabilities are exploited to attack systems. Topics include Intrusion Detection Systems (IDS), ethical hacking techniques, sniffers, protocols, social engineering, vulnerability analysis, and penetration testing to ensure infrastructure security.	Ethical Hacking	4
CSS300 This course surveys tools and techniques designed to detect intrusion into an organization's computer systems. In the hands-on lab component of the course, students will use a number of public domain and commercially available security tools. The course examines common attack methods, general inadequacies in various systems to include commercial intrusion detection systems. Utilization of the risk assessment process for determining cost effective vulnerability solutions is emphasized.	Vulnerability Assessment and Management	4
CSS321 Software is essential to the operation of the commercial, government and military sectors of our nation. It is estimated that 90 percent of reported security incidents result from exploits against defects in the design or code of software. Therefore, ensuring the integrity of software is imperative to protecting the infrastructure of these sectors from threats and vulnerabilities. This course uses the Security Development Model, to identify and implement security activities that must be applied during each phase of a software development lifecycle model. Static analysis tools, testing strategies and auditing processes used for verification of secure code are applied in a test environment. Management’s role in the development of techniques for the enforcement of software assurance processes is explored.	Software Assurance	4

CSS332 This course is the study of security issues related to databases and web applications. The students will learn to identify security issues related to both environments, understand the impact and the dangers of the vulnerabilities, and design and implement techniques to protect the database, the web application and the user. Students will demonstrate their competencies by developing real world projects.	Database and Web Vulnerabilities and Security	4
	or
AI410 The course covers the fundamentals of adversarial learning, including the integration of adversarial techniques into machine learning models, focusing on evasion attacks, data poisoning, and defense strategies. The course also provides hands-on Labs for students to practice adversarial techniques in machine learning.	Adversarial Learning	4

CSS350 This course introduces the student to the field of computer forensics. It covers the history of computer forensics and how the use of electronic evidence can support criminal investigation. The course examines procedures for investigating computer and cyber crime and concepts for collecting, analyzing, recovering and preserving forensic evidence.	Computer Forensics I	4
	or
AI322 This course delves into the ethical considerations and governance challenges of AI, focusing on critical issues such as privacy, bias, accountability, transparency, and the broader societal impact of AI. The course provides practical applications and hands-on projects.	AI and Ethics	4

CSS380 This course provides students with a background on each of the following topics: disaster recovery issues as they impact business, possible threats, categories of disruptions, results from the assessment, disaster recovery plan, developing a recovery team, backup alternatives, facility backups, electronic vaulting, off-site storage, testing and drills, maintenance, phases of planning for recovery, preventions.	Business Continuity and Disaster Recovery Planning	4
	or

CSS410 This course examines cloud computing: risk management; compliance and legal responsibilities of remotely stored, processed and maintained data; life cycle management; and disaster recovery planning from the perspective of the user and the cloud provider. The course also addresses handling of incidents and remediation, application security, encryption issues, storage, virtualization mechanisms and vulnerabilities, and access control in the cloud environment.	Cloud Computing, Privacy and Security	4
CSS441 This course covers the identification, interpretation and application of federal and state government regulations, directives and acts as they apply to the security of digital systems. The course also examines the application of hardware and software tools in the monitoring and auditing of employee behavior to enforce compliance of an organization’s policies, procedures and guidelines. Applicable certification and accreditation processes are researched including commercial certifications, ISO 27002 and DIACAP.	Security Compliance	4
	Total Credit Hours:	44

Courses - Elective Choices		Credits
CS361 This course introduces students to the theories, principles, and practices of user interface design for computer-based systems. Topics such as the human computer interaction, user interface design framework, platform consideration, user profiling, prototyping and usability testing will be covered.	Principles of User Interface Design	4
CS367 This course introduces students to the basic concepts of streaming data, which includes resources of streaming data, the characteristics and properties of various types of streaming data and the principles, models, methods and technologies that can be effectively applied for streaming data analytics. The course will examine the most common challenges of streaming data analytics—data collection, measurement, tracking, analysis, security, query processing and reporting. Students will conduct some case studies of the applications of streaming data analytics.	Streaming Data Analytics	4
CS368 This course introduces students to various practical techniques for conducting requirements elicitation, specification, analysis, and validation. The additional topics covered during this course include requirements traceability, software quality matrix, and use case scenario development.	Fundamentals of Software Requirements	4
CS374 This course introduces students to the fundamentals of software design. Software Design consists of a set of commonly used design principles, design paradigms, design models, and design patterns. Through several working projects, students will learn how to choose proper design principles, design paradigms, design models and design patterns based upon the requirements specification. Also students will explore how to make correct adjustments to a design when some requirements have been changed.	Fundamentals of Software Design	4
CS378 This course introduces students to the foundation, application background, design and implementation principles of NoSQL databases. The course illustrates the commonalities and differences between NoSQL databases and relational databases. The course covers how to best use different NoSQL databases in their working environments. The design of NoSQL-based applications in a variety of platforms such as Windows, Linux, and the Cloud is discussed. Students will develop procedures and processes to ensure scalability and availability of a NoSQL database based on the application requirements.	NoSQL Databases	4
CS379 This course introduces students to the foundations, commonly used algorithms and techniques, as well as various types of applications of Machine Learning which is a branch of Artificial Intelligence. The course discusses the strengths and weaknesses of different machine learning methodologies such as decision trees, neural networks, clustering, Naive Bayes, and regression based on the application requirements. Students will complete several small software assignments to implement Machine Learning functionality in a given application.	Machine Learning	4
CS397 The course introduces students to the techniques and processes for designing and building a data warehouse. The course covers the topics of data warehouse design, Extract- Transform-Load (ETL), data cubes, and data marts. Students will evaluate a commercial or an open source data warehousing tool.	Data Warehousing	4
CS473 This course introduces students to the foundations, commonly used algorithms, techniques and tools, as well as applications of data mining. The course will cover data collection and preparation, data classification, mining association rules, clustering, and the real-world applications where these techniques are used. Students will develop software to conduct data mining functionality based on the application requirements.	Data Mining	4
CS479 Data visualization techniques allow people to transform data into charts and tables that analyze complex data sets to generate insights, and to present analytical output as meaningful information. This course introduces students to data visualization principles, techniques, tools and best practices. The course covers how to organize data into manageable and logical components for analysis and visualization. Students will design and implement some data visualization functionality with a given interactive data visualization tool and the given application requirements of analyzing a complex data set.	Data Visualization	4
CSS250 This course addresses the concepts of risk management. The course explores general methodologies used to assess and manage risks to information security. The course also identifies the activities involved in the process of information security risk management for a business organization. Activities such as detection, recovery and damage control methods will be explored.	Security Risk Management	4
CSS332 This course is the study of security issues related to databases and web applications. The students will learn to identify security issues related to both environments, understand the impact and the dangers of the vulnerabilities, and design and implement techniques to protect the database, the web application and the user. Students will demonstrate their competencies by developing real world projects.	Database and Web Vulnerabilities and Security	4
CSS350 This course introduces the student to the field of computer forensics. It covers the history of computer forensics and how the use of electronic evidence can support criminal investigation. The course examines procedures for investigating computer and cyber crime and concepts for collecting, analyzing, recovering and preserving forensic evidence.	Computer Forensics I	4
CSS380 This course provides students with a background on each of the following topics: disaster recovery issues as they impact business, possible threats, categories of disruptions, results from the assessment, disaster recovery plan, developing a recovery team, backup alternatives, facility backups, electronic vaulting, off-site storage, testing and drills, maintenance, phases of planning for recovery, preventions.	Business Continuity and Disaster Recovery Planning	4

Courses- Elective Choices		Credits
CS227 This course introduces students to the basic features of Linux operating system and the fundamentals of Linux programming. Through several hands-on exercises and projects, students will be exposed to the Linux utility commands, file system and directories, the Linux shells, and the shell script programming. Students need to demonstrate an intermediate level competency in Linux shell programming.	Linux Programming	4
CS361 This course introduces students to the theories, principles, and practices of user interface design for computer-based systems. Topics such as the human computer interaction, user interface design framework, platform consideration, user profiling, prototyping and usability testing will be covered.	Principles of User Interface Design	4
CS367 This course introduces students to the basic concepts of streaming data, which includes resources of streaming data, the characteristics and properties of various types of streaming data and the principles, models, methods and technologies that can be effectively applied for streaming data analytics. The course will examine the most common challenges of streaming data analytics—data collection, measurement, tracking, analysis, security, query processing and reporting. Students will conduct some case studies of the applications of streaming data analytics.	Streaming Data Analytics	4
CS368 This course introduces students to various practical techniques for conducting requirements elicitation, specification, analysis, and validation. The additional topics covered during this course include requirements traceability, software quality matrix, and use case scenario development.	Fundamentals of Software Requirements	4
CS374 This course introduces students to the fundamentals of software design. Software Design consists of a set of commonly used design principles, design paradigms, design models, and design patterns. Through several working projects, students will learn how to choose proper design principles, design paradigms, design models and design patterns based upon the requirements specification. Also students will explore how to make correct adjustments to a design when some requirements have been changed.	Fundamentals of Software Design	4
CS378 This course introduces students to the foundation, application background, design and implementation principles of NoSQL databases. The course illustrates the commonalities and differences between NoSQL databases and relational databases. The course covers how to best use different NoSQL databases in their working environments. The design of NoSQL-based applications in a variety of platforms such as Windows, Linux, and the Cloud is discussed. Students will develop procedures and processes to ensure scalability and availability of a NoSQL database based on the application requirements.	NoSQL Databases	4
CS379 This course introduces students to the foundations, commonly used algorithms and techniques, as well as various types of applications of Machine Learning which is a branch of Artificial Intelligence. The course discusses the strengths and weaknesses of different machine learning methodologies such as decision trees, neural networks, clustering, Naive Bayes, and regression based on the application requirements. Students will complete several small software assignments to implement Machine Learning functionality in a given application.	Machine Learning	4
CS397 The course introduces students to the foundations of the data warehousing, techniques, and processes for designing and building a data warehouse. The course covers the topics of data warehouse design, Extract-Transform-Load (ETL), data cubes, and data marts. Students will evaluate a commercial or an open source data warehousing tool.	Data Warehousing	4
CS473 This course introduces students to the foundations, commonly used algorithms, techniques and tools, as well as applications of data mining. The course will cover data collection and preparation, data classification, mining association rules, clustering, and the real-world applications where these techniques are used. Students will develop software to conduct data mining functionality based on the application requirements.	Data Mining	4
CS479 Data visualization techniques allow people to transform data into charts and tables that analyze complex data sets to generate insights, and to present analytical output as meaningful information. This course introduces students to data visualization principles, techniques, tools and best practices. The course covers how to organize data into manageable and logical components for analysis and visualization. Students will design and implement some data visualization functionality with a given interactive data visualization tool and the given application requirements of analyzing a complex data set.	Data Visualization	4
CSS250 This course addresses the concepts of risk management. The course explores general methodologies used to assess and manage risks to information security. The course also identifies the activities involved in the process of information security risk management for a business organization. Activities such as detection, recovery and damage control methods will be explored.	Security Risk Management	4
CSS330 This course is the study of security issues related to databases. The student will learn to identify security issues in a database environment, design and implement techniques to protect the database and the user, design a database with security in mind, and resolve database security issues. Students will demonstrate their competencies by developing real world projects.	Database Security	4
CSS332 This course is the study of security issues related to databases and web applications. The students will learn to identify security issues related to both environments, understand the impact and the dangers of the vulnerabilities, and design and implement techniques to protect the database, the web application and the user. Students will demonstrate their competencies by developing real world projects.	Database and Web Vulnerabilities and Security	4
CSS340 As society becomes more dependent on technology, protection against intrusion is an absolute must. Vulnerabilities in standard configurations of operating systems can lead to unnecessary security threats against the networks of corporations, governments, and individuals. This course will provide in-depth examination of operating system security features and vulnerabilities in Windows and UNIX/Linux operating systems. Learners will study various techniques to harden and secure operating systems and learn to employ the same techniques to mitigate operating system vulnerabilities.	Operating System Security	4
CSS350 This course introduces the student to the field of computer forensics. It covers the history of computer forensics and how the use of electronic evidence can support criminal investigation. The course examines procedures for investigating computer and cyber crime and concepts for collecting, analyzing, recovering and preserving forensic evidence.	Computer Forensics I	4
CSS351 This course is a more in-depth study of the technical aspects of computer forensics. Its focus is the examination and analysis of data on computer storage media. It covers current computer forensic tools, digital evidence controls, computer forensic analysis and recovering files.	Computer Forensics II	4
CSS410 This course examines cloud computing: risk management; compliance and legal responsibilities of remotely stored, processed and maintained data; life cycle management; and disaster recovery planning from the perspective of the user and the cloud provider. The course also addresses handling of incidents and remediation, application security, encryption issues, storage, virtualization mechanisms and vulnerabilities, and access control in the cloud environment.	Cloud Computing, Privacy and Security	4

Total Credit Hours: 183

View Less

Learning Outcomes

BSCS Program Learning Outcomes:

Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
Communicate effectively in a variety of professional contexts.
Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Apply computer science theory and software development fundamentals to produce computing-based solutions.

Concentration Learning Outcomes:

Cybersecurity Engineering

Understand knowledge of new models, methods, technologies, tools, and the context-specific best practice and hands-on skills relevant to cybersecurity engineering as they emerge.
Apply appropriate cybersecurity engineering-related theories, models, processes, techniques and tools to construct software solutions to cost-effectively detect, mitigate, prevent and remove various types of security vulnerability and attacks, and adequately and safely defend the computer resources’ normal operability.

Faculty

Dr. Yanzhen Qu

University Dean

Dr. Yanzhen Qu is the University Dean and Professor at the College of Computer Science, Engineering and Technology at Colorado Technical University (CTU). During his tenure at CTU, Dr. Qu has taken a leadership role in modernizing the curricula of CTU’s CS, IT and Cybersecurity degree programs, ranging from Associate to Doctoral levels.

Dr. Richard Cai

Executive Program Director

Dr. Richard Cai is CTU’s Executive Program Director for the College of Computer Science, Engineering & Technology. In this role, Dr. Cai supervises curriculum design, development and revision for the degree programs offered in the college. He also plays a key role in the program assessment and accreditation.

For more faculty profiles please visit our Leadership and Faculty page.
For more information visit the College of Engineering & Computer Science.

Related Degrees

Bachelor of Science in Computer Science

Compare

Bachelor of Science in Computer Science - Software Engineering

Compare

Master of Science in Computer Science

Compare

Compare up to three additional degrees

FAQs

What Students Are Saying About Their CTU Experience

Ways To Save

What is an online Bachelor's in Cybersecurity Engineering?

CTU’s Bachelor of Science in Computer Science with a concentration in Cybersecurity Engineering is an 183-credit-hour degree program that combines a computer science core with focused coursework in securing computer systems and networks. It is designed to help students build the programming and software foundation of a computer science degree while working to develop the skills used to defend systems against cyber threats.

Who is this degree program designed for?

This online cybersecurity degree program is designed for students who want to build and secure software systems and pursue roles in cybersecurity. It suits problem-solvers interested in both programming and defending networks and data. The degree program is built for working adults balancing education with career and personal commitments. Military-affiliated students (active duty, Reserve, National Guard members, and eligible spouses) may benefit from CTU’s reduced military tuition rates.

How many credits are required for this degree program, and is it fully online?

The degree program requires 183 credit hours, combining 51 credit hours of general education and the 88-credit computer science core with concentration coursework in cybersecurity engineering. It is offered online through CTU’s Virtual campus as well as at the Colorado Springs campus. Students can access coursework through CTU’s Virtual Classroom and CTU Mobile app.

What skills does this degree program cover?

Building on the computer science core classes (including programming, data structures, algorithms, operating systems, and software design) the cybersecurity concentration adds focused study in computer and network security, secure systems, and the principles used to identify and defend against cyber threats. The degree program is designed to map to the Department of Homeland Security and the National Security Agency cybersecurity knowledge units.

What topics are covered in the cybersecurity engineering concentration?

The concentration layers cybersecurity coursework on top of the computer science core, covering areas such as computer security, network security, and the secure design and defense of systems. The computer science core is designed to provide the programming, data structures, algorithms, and operating-systems foundation, so graduates understand both how software is built and how to secure it.

How are online courses delivered at CTU?

Courses are delivered through CTU’s Virtual Classroom and CTU Mobile app, giving students the flexibility to study when and where it works best for them. CTU’s intellipath® adaptive learning platform helps personalize courses of study. The program is designed for students who are balancing coursework with career and personal commitments.

Are online cybersecurity classes at CTU beneficial and flexible?

This concentration carries a national cybersecurity designation; the Department of Homeland Security and the National Security Agency have recognized CTU as a National Center of Academic Excellence in Cyber Defense (CAE-CD), and the Cybersecurity Engineering concentration was validated to map to the DHS/NSA cybersecurity knowledge units.

The online format with tools like the Virtual Classroom and the CTU Mobile app lets students work to develop their security skills while balancing work and personal commitments.

What are the admission requirements, and is there an application fee?

Applicants must provide proof of high school graduation (a high school diploma and transcripts) or its equivalent, such as a GED. Documentation must be submitted to CTU before the first day of the second quarter or term in the program. No SAT or ACT scores are required, and there is no application fee. CTU admissions advisors are available to help guide students through each step.

When can I start, and how long does the degree program take to complete?

CTU offers multiple start dates throughout the year. This bachelor’s degree program at CTU require 183 credit hours and can typically be completed in about 48 months, though actual timelines vary based on course load, any transfer credits or prior learning accepted*. CTU Fast Track^™** exams may allow students to earn credit for demonstrating what they already know and finish the program faster. Use the Tuition & Graduation Calculator for a personalized estimate.

* Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

** The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast Track^™ exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.

Can I transfer credits into this program?

CTU offers a transfer-friendly policy that may accept eligible transfer credits toward a bachelor’s degree program. Transfer credit is evaluated on an individual basis, and not all credits are eligible to transfer. For details on transfer policies, visit the Transfer Students page.

How much does the BSCS in Cybersecurity Engineering cost?

Tuition for this degree program is charged per credit hour. The actual cost will depend on how many credits are completed at CTU, after the assessment of any eligible transfer credits*, scholarships, grants,** and CTU Fast Track^™*** savings are applied. Use the Tuition & Graduation Calculator for a personalized estimate.

* Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

** University grants or scholarships are based on established criteria as published in the University Catalog or on its website and are awarded after verification that the conditions of eligibility have been met.

*** The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast Track^™ exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible 30% reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.

What financial aid options are available?

CTU participates in federal financial aid programs, meaning eligible students can apply for federal grants and loans through the FAFSA®. Institutional scholarships and need-based grants are also available to qualifying students. For a full overview of financing options, visit the CTU financial aid page.

What are some ways to reduce costs at CTU?

There are several ways to help lower the total cost of a degree program. Transferring-in eligible credits* can reduce the number of credits needed to complete a degree program at CTU, and CTU Fast Track^™** exams may let students earn credit for demonstrating their prior knowledge. Military-affiliated students may qualify for Reduced Military Tuition Rates. Eligible students whose employers are CTU corporate alliance members may also apply for the Corporate Alliances Grant. Additional Grants & Scholarships are available for qualifying students.***

* Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

*** University grants or scholarships are based on established criteria as published in the University's catalog and are awarded after verification that the conditions of eligibility have been met.

Is CTU’s cybersecurity engineering program accredited?

Colorado Technical University is accredited by the Higher Learning Commission (hlcommission.org), an institutional accreditor recognized by the U.S. Department of Education, and the bachelor’s in cybersecurity online program’s outcomes are designed to align with the educational standards of ABET. In addition, the Department of Homeland Security and the National Security Agency have recognized CTU as a National Center of Academic Excellence in Cyber Defense (CAE-CD), and the Cybersecurity Engineering concentration was validated to map to the DHS/NSA cybersecurity knowledge units.

What are some potential career paths with this degree program?

Graduates of this online cybersecurity degree program may choose to pursue roles in software security and computer systems. Some potential career paths may include:*

Software Developers - Research, design, and develop computer software, applications, or specialized utility systems. They analyze user needs to engineer tailored software solutions, applying principles of computer science, engineering, and mathematical analysis to continuously improve and scale application performance.
Computer Programmers - Create, modify, and test the essential code and scripts that allow computer applications and systems to run smoothly. Working from design specifications, they write and refine programs designed to secure, store, locate, and retrieve organizational data and information.
Software Quality Assurance Analysts and Testers - Develop and execute rigorous software testing protocols to identify, diagnose, and document bugs or system defects. They design detailed test plans and collaborate closely with developers to evaluate software usability, functionality, and performance before implementation.

* CTU cannot guarantee employment, salary, or career advancement. The list of potential career paths related to this program is based on a subset from the Bureau of Labor Statistics. CIP to SOC Crosswalk. Some career paths listed above may require further education or job experience.

How is this program different from a general computer science degree program or an IT security concentration?

Compared to the general BSCS, this concentration applies 44 elective credits specifically to cybersecurity engineering, so students still receive a computer science foundation while specializing in securing systems. Compared to an Information Technology security concentration, which centers on administering and protecting technology infrastructure, this program is rooted in computer science, emphasizing the programming, algorithms, and software fundamentals behind building and defending secure systems.