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 provide the foundation and focused knowledge for those interested in the Data Science field.

CTU’s program explores techniques and theories drawn from many different fields such as mathematics, statistics, information science, and computer science, including probability models, machine learning, data mining, data warehousing, computer programming and algorithms, visualization, and more. Students have the opportunity to learn how to use open-source language for statistical inference, regression, predictive analytics, and data mining in data analytics. If you’re interested in exploring and analyzing data using high-level mathematics, statistics, and computer science, you may benefit from this program.

For the third year in a row, CTU’s online Master of Science in Computer Science degree programs were ranked among the 2017 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

Program Details

Program Outline
Courses
Related Degrees
Tuition
Ways to Save
Outcomes
Next Steps
  • Program Outline

    Students enrolled in CTU's MSCS-Data Science degree program need to complete 48 total credit hours. The degree is comprised of both core classes and concentration classes, designed to provide students the foundation and focused knowledge for those interested in the Data Science field.

    Core Education. Students begin the Master of Science in Computer Science – Data Science degree program at CTU by completing a set of core courses designed to provide the student with an understanding of operating systems and networking, as well as knowledge of computer system architecture and the software system engineering process. Students take 28 credit hours in core education, which comprises a significant portion of their MSCSDS education. Some of these classes include:

    • Design and Analysis of Algorithms
    • Modern Operating Systems
    • Computer Networking
    • Database Systems

    Concentration Courses. Building on the core program, the concentration courses are designed to provide the foundation and focused knowledge for those interested in the Data Science field. In all, they complete 20 credit hours in the concentration component of their program, with some of these classes including:

    • Data Warehouse
    • Fundamentals of Big Data Analytics
    • Data Analytics
    • Algorithms for Data Science
  • Courses

    Degree Requirements

    Courses- Concentration
    CS683Data Warehouse4
    CS686Fundamentals of Big Data Analytics4
    CS688Data Analytics with R4
    CS692Algorithms for Data Science4
    Elective Any 600 level course4
    Total Credit Hours:20
    Courses: Core
    CS627Design and Analysis of Algorithms4
    CS630Modern Operating Systems4
    CS635Computer Networking4
    CS651Computer Systems Security Foundations4
    CS660Database Systems4
    CS672Systems Engineering Methods4
    CS698Computer Science Capstone4
    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.

  • Related Degrees

  • Tuition

    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.

    Calculator icon Estimate your costs, potential savings and graduation date
  • Ways to Save

    Ways to Save

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

  • Outcomes

    CTU’S MS in Computer Science – Data Science degree is designed to teach students how to:

    • 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

    Students may be able to explore careers in areas such as:

    • Data modeler
    • Data analyst
    • Data mining engineer
    • Data scientist
    • Data warehouse architect
    • Quantitative analyst
    • Business analyst
    • Marketing analyst
  • Next Steps

    Where do I go from here?

    Choosing to continue your education is a big decision and we're here to help. Choose one of the options below to get started.


    Submit your details and speak to an admissions advisor within the next day:



    Submit a no-fee online application. An advisor will get in touch after your application is received to schedule an interview (required before enrolling):


Gainful Employment and Other Student Disclosures

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

Gainful Employment Disclosure Button
 
 

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.

Learn More  

Graduation Rate

A first-time student has no prior postsecondary experience before enrolling at this campus. This means that a student who attended another college, university or other postsecondary school before enrolling at this school is not included in the calculation. The rate also does not include students initially enrolled part-time, taking individual classes (as compared to enrolling in a full program), or only auditing classes. These rates are calculated using the Student Right-to-Know formula in order to comply with U.S. Department of Education requirements. The statistics track all first-time, full-time and certificate or degree-seeking undergraduate students who began school during the date range and have completed within 150% of the normal program length. For example, for a two-year program, the graduation rate would include students who had completed within three years of beginning the program. This statistic is not specific to one program alone; rather, all applicable undergraduate programs are included in this overall rate. Information pertaining to the Graduation Rates of all postsecondary institutions recognized by the U.S. Department of Education may be found on the College Navigator website. http://nces.ed.gov/collegenavigator/

×

Need help choosing the right degree program?

Request Information

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

http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-the-next-frontier-for-innovation