M.Sc. Online

Data Science

Grand Canyon University

24 months
565 USD/credit 10735 USD/year
565 USD/credit 10735 USD/year
Tuition fee
Apply date
Start date


A Master of Science in Data Science degree from Grand Canyon University prepares professionals with a strong aptitude for mathematical reasoning and statistical computing for a career path in data analysis, essential to data-driven enterprises.


In today’s information age and fast-growing digital world, data science is rising as a high-demand career path, seeking results oriented professionals who are skilled in data analysis, data mining, computer programming and problem solving in order to make effective data-driven business decisions.

Students in the data science master’s degree program will gain a solid understanding and practical experience with the application of predictive analytics theory, principles, technical tools and industry-specific knowledge to a wide variety of problems in science, engineering and business. This is a profession that requires data science professionals to be able to handle the entire data lifecycle:

  • Identify challenges/ask questions
  • Capture data from various sources
  • Interpret and organize information
  • Use intelligence to develop solutions
  • Apply findings to answer questions
  • Drive business strategy

Grand Canyon University’s College of Science, Engineering and Technology offers this MS in Data Science program 100% online to meet the needs of adult students and working professionals. By learning through an innovative digital learning platform, students are able to study from anywhere, anytime, according to their schedule. The data science master’s values-based curriculum is based on GCU’s Christian worldview, which advocates for ethical decision making.


Graduates of the MS in Data Science program may take on roles within an organization such as:

  • Analytics officer
  • Business analytics director
  • Predictive analyst
  • Data scientist
  • Fraud analytics manager
  • Analytics strategy consultant
  • Marketing analytics manager
  • Risk analyst
  • Customer analytics manager

Programme Structure

Courses include:

  • Advanced Probability and Statistics
  • Regression Analysis
  •  Predictive Modeling 
  • Machine Learning for Data Science
  • Research Methods in Computational Sciences

Key information


  • Part-time
    • 24 months

Start dates & application deadlines


38 SCH



Academic requirements

GPA admission requirements GPA
GRE admission requirements GRE®
GMAT admission requirements GMAT

Other requirements

General requirements

  • Graduate applicants may be accepted at GCU with an undergraduate degree from an accredited college or program that has been approved by Grand Canyon University (GCU), with a 2.8 GPA or higher.
  • All students must submit baccalaureate bearing college transcripts to meet the admission requirements of the University.
  • Additionally, if students cannot meet the GPA requirements with their transcripts, but have a test score that meets admissions requirements, students will be eligible for full admission. If both the degree-bearing transcript and the test scores do not meet admissions requirements, students may be eligible to be admitted based on the Standards for Admission with Specification.

Tuition Fee

To alway see correct tuition fees
  • International

    10735 USD/year
    Tuition Fee
    Based on the tuition of 565 USD per credit during 24 months.
  • National

    10735 USD/year
    Tuition Fee
    Based on the tuition of 565 USD per credit during 24 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science
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