About the Program
The AACSB-Accredited Bachelor of Science in Business Intelligence degree provides a solid foundation in business data analytics as well as the ability to use state-of-the-art methods to stay ahead of the curve in decision-making processes. The program addresses Information Systems topics such as problem-solving, database management systems, systems analysis and design, and information systems security. In addition, the following subjects are part of the degree: business analytics (descriptive, predictive and prescriptive), knowledge discovery and data mining, data science and big data, and data warehousing. The degree contains coverage of classic and cutting-edge tools and techniques including optimization models, waiting line models, simulation and transportation models, as well as key statistical-based tools such as regression modeling, analysis of variance, and tests of independence. Other topics included are data structures and data visualization approaches, advanced methods for predictive analytics using the state-of-the-art software R, supervised learning methods such as neural nets, KNN, classification and regression trees, along with unsupervised learning methods such as association rules, cluster analysis, and principal component analysis. Given the importance of primary and secondary data to the processes of marketing planning and strategy, as well as of marketing insights and product innovation, the degree also includes content of marketing research methods and tools.
Student Outcomes
Goal 1 - Communication:
Students will be able to communicate effectively.
Objective 1.1 - Prepare effective written communication
Objective 1.2 - Deliver effective oral presentations
Goal 2 - Decision Making:
Students will be able to discover business problems and propose recommendations drawn from appropriate frameworks.
Objective 2.1 - Evaluate the situation using appropriate methods and tools
Objective 2.2 - Recommend potential solutions using appropriate methods and tools
Goal 3 - Business Environment:
Students will be knowledgeable of ethical and global frameworks and how they relate to business decisions.
Objective 3.1 - Students will be able to assess ethical considerations in business decision making.
Objective 3.2 - Students will demonstrate an understanding of the implications of operating in a global business environment.
Goal 4 - Core Knowledge:
Students will demonstrate competence in required business intelligence topics.
Objective 4.1: Database Management
Objective 4.2: Data Mining/Machine Learning
Objective 4.3: Big Data Analytics
Objective 4.4: Marketing Research
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