Overview
The Master of Science in Data Science at Grand Canyon University is an innovative programme that equips students with essential skills in data analysis, statistical computing, and predictive analytics.
This degree is tailored for individuals with a strong aptitude for mathematics and problem-solving, aiming to prepare them for a rewarding career in the rapidly evolving field of data science. As businesses increasingly rely on data-driven decisions, the demand for skilled data professionals continues to grow, making this programme a strategic choice for aspiring data scientists.
Key Facts
Grand Canyon University (GCU) is renowned for its commitment to academic excellence and ethical standards, particularly in STEM fields. The College of Engineering and Technology provides a robust curriculum that integrates a Christian worldview, promoting ethical decision-making and human flourishing. GCU's online learning platform offers flexibility, allowing students to study at their own pace while utilising state-of-the-art resources. The university's strong industry connections and partnerships further enhance the learning experience, preparing graduates for successful careers in various sectors.
The MS in Data Science programme encompasses a comprehensive syllabus designed to cover critical areas of data science. Key topics include:
- Predictive analytics and modelling
- Statistics and computing foundations
- Data visualisation techniques
- Machine learning applications
- Data management and protection
- Business intelligence methodologies
- Capstone project focusing on real-world data science challenges
This structured approach ensures that students not only acquire theoretical knowledge but also practical skills that are directly applicable in the workforce.
Careers
Graduates of the MS in Data Science programme can look forward to diverse career opportunities across various industries. Potential job roles include:
- Data Scientist
- Statistician
- Natural Sciences Manager
- Actuary
- Survey Researcher
- Mathematical Science Teacher (Postsecondary)
Programme Structure
Courses include:
- Advanced Probability and Statistics
- Regression Analysis
- Predictive Modeling
- Machine Learning for Data Science
- Research Methods in Computational Sciences
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Rolling admission
Language
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Credits
Delivered
Campus Location
- Phoenix, United States
Disciplines
Data Science & Big Data View 192 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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 Fees
-
International Applies to you
Applies to youNon-residents11400 USD / year≈ 11400 USD / year - Out-of-State11400 USD / year≈ 11400 USD / year
-
Domestic
Applies to youIn-State11400 USD / year≈ 11400 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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