What Is an MS in Business Analytics?
Data collection, analysis, interpretation and application are at the heart of the tactical and strategic decisions made by corporations to accelerate forward progress. The growing field of business analytics requires academically trained big data analysts to assist organizations in making these decisions. You can enhance your career qualifications by earning your Master of Science in Business Analytics at Grand Canyon University.
Offered by the Colangelo College of Business, the MS in Business Analytics degree is ideal for students who possess practical industry experience and are looking for a pathway toward greater career fulfillment. The degree emphasizes big data analytics, and the objective application of analytical methods to address specific business problems.
Earn Your Master of Science in Business Analytics Online
GCU is a modern university that designs academically rigorous programs with the needs of working professionals in mind. You can pursue your business analytics master’s while still managing your professional obligations and family commitments. Our dynamic, online learning platform connects you to leading experts in their fields. You will benefit from engaging discussions with peers across a range of industries. The online master’s degree requires a total of 38 credits for completion. Most of the online courses are eight weeks in length.
During your studies, you will learn to refine your communication skills to convey key concepts and information to all stakeholders. Examine creative problem-solving methods in the organizational environment. The MS in Business Analytics curriculum integrates the Christian worldview. Students are encouraged to identify as servant leaders who apply the transformative nature of data analytics for the betterment of their communities. Examine Christian-minded solutions to ethical dilemmas, and consider the regenerative and innovative qualities of moral practices.
Learn the Importance of Business Analytics
Students gain a deeper understanding of descriptive, predictive and prescriptive analytics as they study key concepts like statistical language, data mining and data visualization. Critical thinking, mathematics and computing skills blend in hands-on, project-based learning experiences. In courses such as Intermediate Database Applications, Applied Analytics for Businesses and Data Mining, students gain the following core competencies:
- The principles and relative advantages of object-oriented and object-relational databases
- Industry tools and methods for presenting data and making predictions based on statistical analysis
- Techniques for pattern and knowledge extraction from large data sets
- Advanced analytics techniques for the interpretation of organizational data applied to specific business solutions
The Master of Science in Business Analytics degree concludes with the Applied Capstone Project. Students gain practical experience through an applied project that explores a specific aspect of analytics.
Career Outcomes with a Business Analytics Master of Science Degree from GCU
Professionals who are skilled in the analysis, interpretation and application of data are sought-after candidates across many different industries. Some of the careers that graduates with an MS in Business Analytics may be prepared to pursue include:
- Business intelligence analyst or manager
- Business analytics manager
- Big data analytics specialist
- Quantitative analyst/modeler
- Supply chain management specialist
The rate of growth for analytics careers is expected to be robust in the coming years. According to the U.S. Bureau of Labor Statistics, from 2016 through 2026, the anticipated rate of growth for management analysts is 14 percent (faster than average). For market research analysts, the rate is 23 percent (much faster than average), and for operations research analysts, it is 27 percent (much faster than average).
Program Core Courses
This course is designed to prepare students for the graduate learning experience at Grand Canyon University. Students have opportunities to develop and strengthen the skills necessary to succeed as graduate students in the College of Business. Emphasis is placed on utilizing the tools for graduate success.
The purpose of this course is to prepare students in mathematical, probability, and statistical concepts for their upcoming studies in quantitative methods. The course is intended for those students who have not had any prior statistical education, although students who have had statistics should also consider taking the course as a refresher.
This course introduces the role and value of data analytics in meeting the business needs of contemporary organizations. Students are introduced to central issues related to data storage and handling and the stages in the analytics process. Students also study the role of ethics and security in information management and learn skills for managing analytics projects.
This course introduces the basic role and uses of databases within business enterprises. Students examine database design types, development, staging, production environments, and maintenance of a database structure. Emphasis is on appropriate application and implementation of database functions in relation to performing data analytics.
This course covers complex characteristics of databases and their practical application in a business environment. The course examines the main principles and relative advantages of object-oriented and object-relational databases. Students gain working knowledge of object-relational features as implemented in standard SQL database management systems within a practice environment. Prerequisite: MIS-605.
In this course students perform analytics using a statistical language. Key topics include working with data, charting data, and building statistical models within a business environment. Prerequisites: MIS-610, and SYM-506 or equivalent.
This course introduces techniques for extracting patterns and knowledge from large data sets. Students utilize intelligent inferential techniques to interpret patterns in the collected information and translate them into actionable items intended to solve specific business problems. Prerequisite: MIS-650.
This course examines foundational analytics concepts with an emphasis on descriptive and predictive analytics. Students work with selected industry tools and methods for describing, summarizing, and presenting data and make predictions using statistical analysis. There is also emphasis on interpreting business requirements in the design of analytical models and effective communication of findings through data visualization. Prerequisite: MIS-655.
In this course students perform prescriptive analytics and other advanced analytics techniques to extract meaning from organizational data for the purpose of identifying and recommending solutions for specific business needs. Effective and persuasive communication of data and decision options to drive organizational change is also covered. Prerequisite: MIS-660.
This course builds upon the techniques and tools presented in prior courses in the program. Students undertake an applied project focused on a specific area of analytics within an organization. Students use critical thinking skills to frame analytics problems, build and apply appropriate analytics models, and communicate relevant findings within a business setting. Prerequisite: MIS-665.