• Students will demonstrate an understanding of business knowledge (principles, concepts, theories, perspectives) and skills (procedures, methods, strategies, approaches) for each business function/discipline, and of the interrelationships among business functions/disciplines.
• Students will demonstrate the capacity to assess business environments and opportunities, and to align business activities in developing and implementing organizational strategy and change in complex and uncertain conditions.
• Students will demonstrate the capacity to identify problems, define objectives, gather and analyze information, evaluate risks and alternatives, make decisions that are ethical and responsible, and to communicate clear, defensible ideas and plans.
• Students will demonstrate the capacity to acquire and manage organizations’ financial capital, human capital, assets, information, and technology.
• Students will demonstrate the capacity to work effectively and communicate with others as a colleague and as a manager.
• Students will demonstrate the capacity to collaborate and communicate effectively with others.
• Students will demonstrate the capacity to manage, influence, and lead others, and facilitate their development.
• Students will demonstrate the capacity to perceive commonalities and differences in others’ values, styles, and perspectives, and how culture affects those commonalities and differences.
• Students will demonstrate the capacity for continual self-managed learning for professional and career development.

Big Data are data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. In this part, you will learn the big data problems in the real world and many data-processing applications developed in the past fifteen years to address these problems. You will learn the key concepts of big data and distributed systems, and will also have hands-on experiences in using these systems. The following topics will be covered in this part:

• Overview and Review of Structured Query Language (SQL).
• Hadoop and MapReduce—Making of Big Data Processing Applications
• Apache Hive and SQL on Big Data.
• Big Data Storage—HBase and Cassandra.
• Streaming: Real-time Big Data Processing
• Machine Learning on Big Data
• Big Data in Clouds.

A minimum of 30 semester units of graduate study are required for the MBA program. The MBA curriculum includes coursework in the following categories: Core Requirements, Electives, and a Capstone Course.

The student must meet prerequisite requirements when taking any course. Upon clearing background preparation work, students start to take courses to meet the degree requirements, beginning with the Core Requirements courses.