Online Master's in Data Science

Master of Science in Computer Science - Data Science

According to a report from the World Economic Forum, data analysts will become increasingly more important in all industries by 2020. The growing demand in the field of data science is driven by a need from executives to make sense of all of the data generated by technological disruptions.1 Colorado Technical University’s Master of Science in Computer Science with a concentration in Computer Systems Security explores how to extract insights and knowledge from structured or unstructured data. This concentration presents an opportunity to use the open source language R for statistical inference, regression, predictive analytics, and data mining in data analytics.

Study algorithm design and analysis. Explore the concept of big data. Examine data warehouses and data marts. In the capstone course, you will have the opportunity to work on an in-depth project focusing on a major technical problem or major issue that impacts your organization or in a desired area of study.

For the fifth year in a row, CTU’s online Master of Science in Computer Science degree programs are ranked among the Best Online Graduate Computer Information Technology Programs by U.S. News and 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 begin every 8 weeks and run 5½ weeks long.

* Several CTU programs are ranked among U.S. News & World Report’s 2019 best online programs list.
Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission www.hlcommission.org

CLASSES START

  • January 07, 2020
  • February 18, 2020
  • April 07, 2020

TOTAL CREDITS

48

PROGRAM AVAILABILITY

  • Online

Program Details

  • Program Overview

    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.

  • Degree Requirements

    Courses- Concentration
    Course Title Course Description Credit Hours
    CS683 Data Warehouse 4
    CS686 Fundamentals of Big Data Analytics 4
    CS688 Data Analytics with R 4
    CS692 Algorithms for Data Science 4
    Elective Any 600 level course 4
    Total Credit Hours: 20
    Courses: Core
    Course Title Course Description Credit Hours
    CS627 Design and Analysis of Algorithms 4
    CS630 Modern Operating Systems 4
    CS635 Computer Networking 4
    CS651 Computer Systems Security Foundations 4
    CS660 Database Systems 4
    CS672 Systems Engineering Methods 4
    CS698 Computer Science Capstone 4
    Total Credit Hours: 28

    Total Credit Hours: 48

  • Related Areas of Study

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  • Admission Requirements

    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.

  • Next Steps

Program details are provided after the form.

Classes start January 7, 2020!

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1. World Economic Forum, https://www.weforum.org/agenda/2016/01/8-jobs-every-company-will-be-hiring-for-by-2020/