Academics
- Core Curriculum
- Electives
- Capstone Project
- Sample Schedules
- MSBA Faculty
Our curriculum will teach you how to leverage AI and apply sophisticated analytics to real-world business cases. The MSBA is a 50-unit, STEM-designated degree program. The curriculum consists of five 4-unit core courses and one 2-unit core course, and 28 units from a set of elective courses, as well as a mandatory Pre-term Orientation.
Business analytics projects should strive to create substantial value to an organization by solving impactful business problems. In this class, students will learn to identify business opportunities in the substantive areas of marketing, finance, and operations. Prerequisites: Restricted to master’s of business analytics students or with department and instructor approval.
This course aims to provide students with an introduction to data analytics in R where the emphasis is more on business “data” than “analytics.” The emphasis is on collecting, handling, manipulating, and summarizing large data sets. Case studies are used throughout the course. Prerequisites: MGTA 451 and restricted to master’s of business analytics students or with department and instructor approval.
This course is designed to help a business manager to use data to make good decisions in complex decision-making situations. Several analytical and econometric methods will be covered including decision analysis, regression analysis, optimization, and simulation. Prerequisites: MGTA 451 and restricted to master’s of business analytics students or with department and instructor approval.
Students will pursue their capstone experience as part of a team to solve practical business problems faced by companies. Each team will work as external consultants on a project to create value for a client company. May be taken for credit two times for a maximum of four units. Prerequisites: MGTA 451, MGTA 452, MGTA 453, and restricted to master’s of business analytics students or with department and instructor approval.
Customer Analytics focuses on the use of data, statistics, and machine learning to create, develop, and maintain _exchanges_ with individual customers. Many firms have extensive information about customers' behavior. However, few firms have the people or expertise to act intelligently on such information. In this course, you will learn the modern analytics-driven approach to marketing and will gain the hands-on experience required to collect, analyze, and act on customer data.