This course teaches how to use data to analyze all aspects of a company's operation and make appropriate business decisions. It focuses on Web-oriented data, and methods for analyzing data in order to create appropriate dashboards, reports and solutions. Practice will also be provided to thoroughly prepare students for the CIW Data Analyst certification exam.

This course covers the fundamentals of the process of capturing and manipulating data through data warehousing and data mining. This course will provide instruction on how to build a data warehouse. A data warehouse is the foundation for business intelligence. Students will explore different data warehousing architectures and multidimensional data modeling. In addition, this course will provide instruction as to how to utilize the data in a data warehouse. Students will learn to use general information and knowledge that will lead to informed decisions for businesses. This will include reports, dashboards and various methods for visualizing data.

This course students with the the knowledge and skills required to transform business requirements in support of data-driven decisions by: mining data, manipulating data, applying basic statistica statistical methods, analyzing complex data while adhering to governance and quality standards throughout the entire data life cycle. Practice will also be provided to thoroughly prepare students for the Data + certification exam offered by CompTIA.

This course is designed to prepare students for the global expansive and evolving media and entertainment industry. Upon successful completion of this course, the students should gain knowledge/experience and develop the skills necessary to manage all aspects of game design process through interactive application and video game creation.

This course is designed to provide students with the conceptual foundation, technical basis, and software development skills to design and program digital content in spatial computing. Students will explore the differences between spatial computing and AR/VR, develop key design techniques, and engage in development and testing.

This course is designed for the student to apply his/her knowledge and skills applicable to Spatial Computing and Magic Leap hardware. The course is designed as project-based experiences focusing on Applications Development.

Students will learn the key elements of machine learning and its applications in business. The key insights and base practices on how to structure business questions as machine learning projects will be emphasized. Students will understand the the different types of machine learning models, what kind of business questions they help answer, and what kind of opportunities they can uncover. mportantly, students will learn to identify situations where machine learning should NOT be applied.

This capstone course will provide the opportunity for the student to demonstrate that he/she has learned material during the program and can apply it to a current issue. It should be taken during the student's last semester in the program. It provides the student with the opportunity to develop a plan to address one specific problem related to their specialization in detail.