Online Master’s in Data Science Degree
Online Master’s in Data Science Degree
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The master’s degree in data science program is ideal for professionals who are interested in positioning themselves for possible career advancement, making discoveries with big data, working with new innovative technologies and pursuing research-oriented, forward-thinking leadership roles to impact business decisions.
Potential work settings in the field of data science include:
Online: $600 per credit [More Info]
Up to 12 credits or 1/3 of the total program requirements in transfer (whichever is less)
Credits: Fill out the Lopes Eval to find out what will transfer
Admission Requirements (Master's)
OR 2.5+ Unweighted GPA and
Admission requirements may differ based on degree level, program and modality, or transfer status. Some programs of study may require a higher GPA and/or other qualifying criteria for admission. Please review full admission and program requirements in the University Policy Handbook.
* Degree must be from an accredited college or program that has been approved by GCU.
** Combined verbal/quantitative, after August 2011 (1,000 combined verbal and quantitative, prior to August 2011).
Fundamental courses prepare students for the curricular content they will encounter within the program. Upon evaluation of their transcripts, students with the appropriate undergraduate degree(s) may wave fundamental course(s). All students will undergo transcript evaluations upon receipt of their undergraduate degree bearing official transcript. For college specific information regarding fundamental coursework, students should refer to the University Policy Handbook.
Read through some of the most frequently asked questions to learn more about pursuing a master’s-level data science degree and furthering your career in the field.
Is a data science master’s degree worth it?
How difficult is data science?
What’s the difference between data science and data analytics?
Are data scientists happy?
Are data scientists needed?
Do data scientists need a PhD?
Graduates of the MS in Data Science program may take on roles within an organization such as:
Median annual wage for computer and information research scientists in May 2022(See disclaimer 1)
The Master of Science in Data Science degree culminates in a capstone project course that provides an opportunity for you to develop an evidence-based practice project proposal that addresses a current problem, issue or concern in data science. You will have the opportunity to identify a problem amenable to research-based intervention, search literature, propose a solution and develop a plan to implement the solution, evaluate its outcome(s) and disseminate the findings.
Master’s degree in data science students can gain competencies in these domains:
Data Science Analytics
Apply data analytics and statistical techniques to discover and deliver meaningful insights for problems, processes and decision making
Data Science Engineering
Use engineering principles and modern computer technologies to develop new data analytics applications
Data Management
Develop enterprise data management, protection and storage systems
Research and Applications
Formulate research questions, design experiments, analyze results and communicate research findings
Business Analytics
Gain knowledge in business analytics and business intelligence (BI) methods and develop business-oriented data products
Professionalism, Ethics and Sustainability
Demonstrate ethical judgement for new data-driven business processes
A Master of Science in Data Science degree from Grand Canyon University can prepare those with a strong aptitude for mathematical reasoning and statistical computing for a career path in data analysis The data science career path may be ideal for 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 can 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 may require data science professionals to be able to handle the entire data lifecycle:
Earning a STEM degree from GCU can prepare you for careers in your field. By earning your data science master’s from the College of Engineering and Technology, you will study material instilled with a Christian worldview, promoting human flourishing while serving others as you work to become a leader in your field. The faith-integrated curriculum at GCU advocates ethical decision making.
Earn an Online Degree
Admission Requirements for GCU
In the MS in Data Science online program, you will cover various topics and gain competence in areas designed to boost your knowledge of the field and set yourself up for potential advancement and opportunities.
The focus areas for the master’s in data science program include:
Predictive analytics and modeling
Computing
Statistics
Business intelligence
Machine learning
Software tools
If you’re looking to advance in the field of data science, fill out the form on this page to learn more about earning your MS in data science from GCU.
