Grand Canyon University | MS in Data Science
Students of the Master of Science in Data Science program at Grand Canyon University have the opportunity to study the theories and principles of data analysis to gain a deeper understanding of the impact of this science on organizational development and decision-making. Get more details about this online graduate degree here.
Official Program Name:
Master of Science in Data Science
School Offering Program:
Grand Canyon University
Prospective students of the MS - Data Science program should possess an undergraduate degree and have some familiarity with software tools and applications relating to analytics and predictive modeling. Previous coursework in statistics, mathematics, and business analytics could be helpful. Applicants to Grand Canyon University should have a high school diploma or equivalent; some programs may have additional requirements.
From data mining algorithms to statistical models, Grand Canyon University's Master of Science in Data Science program is designed to cover advanced topics in data analytics. Students will take courses that address linear regression in predictive modeling, the development of tools to generate predictions, the analysis and implementation of machine learning algorithms, and the application of deep artificial neural networks in data science. Other topics covered in the curriculum include decision software tools, the use of software tools and languages for business analytics, and research processes in computational sciences. For the capstone project, students draw on theories and research methodologies studied in the program's coursework to present an innovative design in the data science field.
Financial Aid Available:
Eligible students could be able to receive financial aid in the forms of grants, loans, and scholarships. Contact Grand Canyon University's financial aid office for more information.
Tuition, Financial Aid & Start Dates
Since every student is different, there isn't a "one size fits all" for school information. Start dates and tuition often vary between selected programs, and financial aid opportunities are unique to each student's circumstances. Complete the form to the right to get the most up-to-date and accurate information based on your selected program and circumstances.
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Required Courses for a Master of Science in Data Science:
Of the 38 credits needed to earn this master's degree, 32 are earned in required coursework, 2 credits are earned in an introductory graduate studies course, and the remaining 4 credits are completed in a capstone project. Degree program and course requirements are subject to change. Contact Grand Canyon University to confirm the most accurate information before enrolling in a program.
Degree Requirements (38 credits)
- Introduction to Graduate Studies in CSET
- Advanced Probability and Statistics
- Regression Analysis
- Predictive Modeling
- Machine Learning for Data Science
- Neural Networks and Deep Learning
- Research Methods in Computational Sciences
- Data Mining
- Designing and Creating Data Products
- Data Science Capstone Project
Furthering Your Education:
Upon earning the MS degree in Data Science, graduates could choose to continue their studies in a doctoral degree program. A doctorate would be required for those who wish to pursue administrative or teaching careers in colleges or universities or directorial positions in data research institutions. Doctoral studies could provide more extensive studies in such areas as big data analytics, decision technologies, artificial intelligence, statistical learning, and data management.
Graduates could consider the following doctoral degree programs, among others:
- PhD in Data Science
- PhD in Big Data Analytics
- PhD in Business Analytics and Operations
- Doctor of Business Administration - Data Analytics
Graduates holding the Master of Science degree in data science could display the managerial and analytical skills required to fill leadership roles in nearly any type of industry, such as healthcare organizations, manufacturing companies, academic institutions, insurance companies, financial institutions, or consulting firms. They could apply their data analysis skills to evaluate and improve systems in business operations, marketing, product development, or business planning.
Job titles that graduates might be eligible to fill include:
- Risk analyst
- Marketing analytics manager
- Business analytics director
- Customer analytics manager
- Analytics strategy consultant
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