薩福克大學

Companies across all industries are using sophisticated technologies to collect and understand data to manage their operations. As a result, the demand for skilled analytics professionals is growing fast in all types of organizations regardless of industry, size, or ownership structure. Be ready to capitalize on this opportunity by gaining specialized, practical knowledge and skills in Suffolk's big data and business analytics programs.

Your array of business analytics program options includes undergraduate majors and minors, a graduate certificate, and accelerated and dual graduate degrees.

The major is designed to teach the theoretical and practical aspects of Big Data and Business Analytics through a curriculum focused on a mathematical (statistical), technical (including architecture and analytics), and communication components required in the business analytics field. The goal of the BDBA major is to educate students who can successfully fulfill the roles and responsibilities of the rapidly growing field related to business analytics. Through the BDBA curriculum, graduates will be equipped with the knowledge, skills, and abilities (KSA's) to obtain employment in a position such as a business analyst.

The BSBA in Big Data and Business Analytics requires completion of a minimum of 21 credit hours (7 classes) in Big Data and Business Analytics. A cumulative grade point average of at least 2.0 in the Big Data and Business Analytics major and a cumulative grade point average of 2.0 overall must be maintained to graduate.

Learning Goals & Objectives

Learning goals and objectives reflect the educational outcomes achieved by students through the completion of this program. These transferable skills prepare Suffolk students for success in the workplace, in graduate school, and in their local and global communities.

Learning Goals

Students will…

• Demonstrate understanding of theories and concepts of big data and analytics.
• Demonstrate skills in utilizing business analytics technology and techniques.
• Demonstrate the ability to generate, evaluate and communicate business analytics solutions.

Learning Objectives

Students will… Upon completion of the program, each student should be able to...

• Identify the main theories and concepts of big data and analytics.
• Understand the architecture and technical infrastructure of business intelligence and big data analytics.
• Understand analytical techniques used to generate descriptive and predictive models.
• Utilize many of the most popular business intelligence tools in industry.
• Utilize the architectural technologies used in generating business intelligence and big data analytics.
• Manage, extract, transform and load data as well as provide data visualizations.
• Access data and develop business intelligence solutions.
• Develop analytical models using data mining tools and be able to communicate the results to decision makers.
• Analyze, develop and critically assess data mining and predictive analysis models and projects.
• Evaluate analytical models from various industries and business functions.
• Communicate models developed using big data and analytical tools.
• Have a multidisciplinary perspective of the mathematical, technical and communication knowledge, and skill set.