Online Master's in Computer Science
Master of Science in Computer Science
Colorado Technical University’s Master of Science in Computer Science program is designed to provide technical depth in computer science—and in software engineering, security and database management systems. With the computerization of everything from phones and coffeemakers to cars and airplanes, companies across industries need those with computer science skills and knowledge.
Employment of computer and information technology occupations is projected to grow 13 percent from 2020 to 2030, faster than the average for all occupations, according to the Bureau of Labor Statistics.1
This Master’s degree computer science program provides you with an opportunity to advance your knowledge of core computer skills, and explore operating systems, network architecture, and software system engineering processes. In the computer science capstone, focus on a major technical problem or issue that impacts your own organization or in a desired area of study.
The Master of Science in Computer Science program is offered as a general track or in one of the following concentrations:
For the eighth year in a row, CTU’s online Master of Science in Computer Science degree programs are ranked among the Best Online Master's in Computer Information Technology Programs by U.S. News & World Report.*
CTU aims to make it easy to manage your education with your smartphone or tablet anytime, anywhere with CTU Mobile. Our online and mobile-friendly classes run 5 weeks long and you can choose from 9 start dates a year.
* CTU programs are ranked among U.S. News & World Report’s 2022 Best Online Programs.
- September 20, 2022
- October 25, 2022
- December 06, 2022
- Colorado Springs
- Denver South
Total tuition for this degree program will vary depending on your educational needs, existing experience, and other factors.Estimate your costs, potential savings and graduation date
The MSCS program is designed to provide students with a strong and broad Computer Science related technical background as well as systematic, analytical, critical-thinking, and problem-solving skills that enable them to contribute as a professional or a subject expert to a variety of Computer Science or Software Engineering related technical roles, including but not limited to Computer and Information Research Scientists, Information Security Analysts, Computer Programmers, Software Developers, Software Quality Assurance Engineers and Testers, Computer Systems Engineers/Architects, and Computer Science Teachers.
The Master of Science in Computer Science (MSCS) degree program includes core courses which are designed to provide relevant and advanced instruction in a set of Computer Science's most important subjects such as computer algorithm, operating system, database, security, and networking, as well as software engineering. In addition, the MSCS degree program has a General Track as well as three concentrations: Data Science, Software Engineering and Cybersecurity Engineering. Each concentration provides a set of courses which are designed to equip students with additional domain knowledge such as principles, processes and methodologies, as well as best practice on how to apply relevant computer software or other computing technologies in the concentration subjects.
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-current curricula and technology-enabled student-centered teaching, the College of Computer Science, Engineering and Technology empowers students to become motivated, creative, ethical, and skillful professionals who can resolve challenges in Computer Science, Computer/Electrical Engineering, and Information Technology in order to meet the needs of the digital economy.
Course Title Course Description Credit Hours CS627
This course involves both the design and analysis of classic and other useful algorithms which includes the necessary treatment of graph theory and algorithm complexity analysis. Students will design and code many of the algorithms and measure their performance to compare them to one another and to analyze the effect of scale.
Design and Analysis of Algorithms 4 CS630
This is an advanced (OS) course to present the current progress of modern OS. Internal structure and mechanisms as well as the design principles of multi-processor and multi-core OS are evaluated. Technologies of extending the kernel OS functions to solve technical challenges associated with concurrency, synchronization, virtualization, scheduling, clustering, security, client-server, service-orientation, communication and distribution, etc. are discussed. Students will also conduct an applied research or a case study on extending OS to support various types of computing technologies, such as grid computing, cloud computing, embedded computing, distributed and network computing, and/or any new type of computer system architecture.
Modern Operating Systems 4 CS635
Emerging technologies continuously change the way we network. This course analyzes the foundational concepts in computer networking along with the current state of the practice and assesses the changes required by new technologies. The layers of the OSI Reference Model are compared and contrasted with the TCP/IP protocol suite. Network issues, such as addressing and routing, security, and reliability are appraised. Emerging technologies, such as Voice over IP, Multimedia on Demand, Cloud Computing and Virtualization will be evaluated and incorporated into design projects.
Computer Networking 4 CS651
This course introduces the overall foundations required for the understanding of, and further study in, information systems security. It reviews the history of security and computer systems security in particular to develop a set of models to guide the approach to realizing computer systems security. An overview of current security technologies is presented. A research project and formal paper are required.
Computer Systems Security Foundations 4 CS660
This course explores current database systems and provides a foundation for future study. Techniques for the design and implementation of relational databases are presented and applied using SQL and a DBMS. Other data models such as the object-oriented and object-relational models are examined and compared to the relational model. Database systems using data warehouses and data marts, distributed databases, and web-based databases are discussed.
Database Systems 4 CS672
Systems engineering methods provides a robust focus on functionality, design, creation, operational performance and operating systems that address the needs and requirements of customers. SEM provides an overview of techniques, methodologies, and approaches to system engineering. Topics include SE foundational models and the newest concepts, evaluation methods, and key tools. Focus also includes key stages in SEM such as system processes, eliciting customer requirements, system design, system quality, system integration, and deployment, maintenance, and system disposal.
Systems Engineering Methods 4 CS698
The Capstone course demonstrates mastery and critical knowledge from the MSCS program. The content, concepts, and knowledge from the MSCS is critically applied by completing an in-depth project focusing on a major technical problem or major issue that impacts the student’s own organization or in a desired area of study. The course gives the student the opportunity to perform a comprehensive analysis and study in a selected area of interest. The student will prepare a formal technical report of the detailed research and application of prior course concepts.
Computer Science Capstone 4 Electives Choose five Electives from any 600-level course 20
Total Credit Hours: 48
Compare Related Areas of Study
Compare up to three additional degrees
Ways to Save
MSCS Foundation Requirements
The Master of Science in Computer Science (MSCS) is built upon the expectation that students will enter the program with a solid computer science background. Therefore, the MSCS program requires students to have prior foundational knowledge in all core computer science disciplines to be successful.
Students entering into the MSCS program without a bachelor’s degree in either computer science or computer engineering will be required to successfully complete two MSCS foundation courses (CS503 and CS505) covering the following discipline areas of computer science: discrete math; programming language; object-oriented programming; data structure; algorithms; and algorithm analysis.
If a student can show evidence of satisfying the foundation course objectives through coursework from an accredited institution, the foundation requirement can be waived.
The foundation courses are also available to students with an undergraduate computer science degree who wish to refresh their knowledge in these subject areas.
The MSCS foundation course CS503 must be completed and passed prior to beginning courses in the MSCS program. Students will need to complete and pass CS505 prior to the end of the first quarter.
Students must be able to exhibit proficiency by successfully completing the foundation course with a minimum 70% passing score. If after 5 attempts (applies to each course separately) students do not pass the foundation course, students are encouraged to work with the Student Success department if they have questions regarding these foundation courses, timeframes for completion, or for alternative programs of study as needed.
Students who do not meet the MSCS foundation requirements will be withdrawn, canceled or transferred from the MSCS program.
Cost of this degree may be reduced based on one or more of the following:
Where do I go from here?
Choosing to continue your education with is a big decision and we're here to help. Choose one of the options below to get started.
Start the conversation
Submit your details and speak to an admissions advisor within the next day:Request Information
Chat or call an Admissions Advisor today.1-855-230-0555
Program details are provided lower on the page.
Classes start September 20, 2022!
1 Bureau of Labor Statistics, https://www.bls.gov/ooh/computer-and-information-technology/home.htm, visited March 11, 2022. This data represents national figures and is not based on school-specific information. Conditions in your area may vary.