The Data Science minor at CBU is designed to equip students to fill roles as leaders, decision makers, solutions developers, and consultants in almost any organization that uses data to solve real-world problems. It is explicitly designed to serve traditional students from almost any declared CBU major obtain critical skills in data collection, information creation, and one’s cognitive and analytic ability. Furthermore, it equips students to design, implement, and use systems and tools for turning very large collections of data into knowledge that is subsequently visualized in meaningful ways.

Students learn the fundamentals of programming and statistics before adding a foundational course in database design. The core of the Data Science minor is delivered through 9 units of upper division electives, which include state-of-the-art coursework options in machine learning, deep learning, data mining, natural language processing, geographic information systems (GIS), geospatial analysis and data visualization.

The 18-unit Data Science minor can be completed with an additional 9-12 units of study for many of CBU’s undergraduate degrees. Students with a comparable intro or advanced programming and/or statistics course not specifically listed in the Data Science minor are encouraged to reach out to the department chair to determine if it might be an acceptable replacement to one of the explicit requirements in programming or statistics.

The Data Science minor is designed to meet the latest core requirements of Data Science Curricula as recommend by the Association for Computing Machinery (ACM) Data Science Task Force and is housed under the umbrella of the Computer Science major and its courses; through the Gordon and Jill Bourns College of Engineering at California Baptist University, the Computer Science degree program is accredited through the Computing Accreditation Commission of ABET, http://www.abet.org.