Master of Science in Computer Science - Data Science

CTU’s Master of Science in Computer Science – Data Science concentration focuses on the methods, processes, and systems to extract insights and knowledge from structured or unstructured data. Building on the MSCS program core, the concentration courses are designed to provide the foundation and focused knowledge for those interested in the Data Science field.

For the third year in a row, CTU’s online Master of Science in Computer Science degree programs were ranked among the Best Online Programs by U.S. News and World Report.*

Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission www.hlcommission.org

CLASSES START

TOTAL CREDITS

48

PROGRAM AVAILABILITY

  • Online
  • Degree Requirements

    Courses- Concentration
    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
    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

    Preparatory Requirements

    The CTU Master of Science in Computer Science degree program is designed to provide technical depth in computer science and in the three concentration areas—software engineering, security and database management systems. In order to achieve this depth a solid foundation in mathematics, computer science, and the student’s concentration area is required. In addition, the student must have an intermediate level of ability to program in a current object-oriented programming language such as C++ or Java, such as is provided by CS215 or IT215. Students who have the required background but need to refresh their mathematics skills are highly encouraged to take MATH501. Students who have the required background but need to refresh some of their computer science skills are highly encouraged to take CS500.
  • Tuition

    Total tuition for this degree program will vary depending on your educational needs, existing experience, and other factors.

    View our tuition resources page for links to information on our civilian and military student tuition, books and fees.

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  • Ways to Save

    Cost of this degree may be reduced based on one or more of the following:

  • Outcomes

    This degree program is designed to provide the following skills and knowledge:

    • Apply various statistical, data mining, and other analytic techniques and algorithms to big data to devise solutions and extract meaningful insights
    • Select, apply, and evaluate software tools, languages, data models, algorithms, and environments for data processing, analyzing, and visualization
    • Identify and assess the various organization needs related to the data science area, and communicate results of analysis to appropriate broad audiences
  • Next Steps

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Classes start January 2, 2018!

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Below you can find placement rates and other information tailored to your chosen campus and program. Certain disclosures are published on this website to assist students in understanding the facts about their programs.

Program Disclosure Information for:
Online Programs - Master of Science in Computer Science

Online Programs - Graduation Rate

The percentage of first-time, full-time undergraduate students who started between
7/1/2010 and 10/15/2010 who completed within 150% of the normal time period:20%

All Colorado Technical University campuses and both ground and online enrollments are included in this Graduation Rate.

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*Learn more about the U.S. News rankings for Colorado Technical University’s online degree programs.