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Master of Science in Computer Science - Data Science Concentration

Effective August 9, 2022, this program is no longer available for future enrollments.

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.

Mission Statement

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.

Outcomes

MSCS Program Learning Outcomes:

1. Analyze complex computing problems and apply advanced computer science theory and software development technologies to produce computing-based solutions to non-trivial issues.

2. Apply analytical and critical thinking skills to design, implement, and evaluate advanced computing-based solutions to meet the requirements in the context of Computer Science.

3. Conduct and communicate results of applications research in Computer Science.

Data Science Concentration Learning Outcomes:

 

1. Apply various statistical, data mining, and other analytic techniques and algorithms to big data to devise solutions and compile meaningful insights to support the specified organization needs.

Degree Requirements

Courses- Concentration

CS683Data Warehouse

4

CS686Fundamentals of Big Data Analytics

4

CS688Data Analytics with R

4
CS692Algorithms for Data Science

4
Elective Any 600 level course

4
Total Credit Hours:20

Courses: Core

CS627Design and Analysis of Algorithms

4

CS630Modern Operating Systems

4

CS635Computer Networking

4

CS651Computer Systems Security Foundations

4

CS660Database Systems

4

CS672Systems Engineering Methods

4

CS698Computer Science Capstone

4

Total Credit Hours:28

Total Credit Hours: 48

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.

Area of Study

  • Engineering & Computer Science

Degree Level

  • Master