15 courses with the subject BUSA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BUSA 103Advanced Excel with Business Applications3
With its tremendous ability to analyze data to create and communicate a wealth of information, Excel is the industry-standard spreadsheet application in the world of business. This course will provide students with practical hands-on experience applying Excel’s most advanced and sophisticated features to business applications. Spring.
Artificial Intelligence is changing the world. More than ever before, companies need employees who can use AI tools to solve problems creatively and responsibly. This non-technical AI crash course builds the foundational skills needed to do that and is designed to be valuable to anyone. Learn how to distinguish problems that AI is useful for, master prompt engineering to improve outputs, detect AI-generated output, analyze ethics and privacy, and stay up-to-date on one of the most transformative technologies of our lifetimes. This course is offered online through a consortium of accredited colleges and universities. Instruction is provided by faculty employed by partner institutions within the consortium, with technology and administrative support provided by Rize Education. Oversight of courses offered through the consortium are reviewed and approved by Saint Francis University. Students register through and receive academic credit from Saint Francis University.
An introductory course surveying popular management science and operations research techniques and their application in contemporary business and economics environments. Topics include mathematical modeling, linear programming, network algorithms, the program evaluation review technique (PERT) and critical path method (CPM) analysis. Queuing theory and computer simulation analysis are also studied.
This course introduces students to data visualization: the use of the visual channel for gaining insight with data, exploring data, and as a way to communicate insights, observations, and results. The course covers fundamental principles of data analysis and visual presentation, chart types and when to use them, and how to acquire, process and “interview” data. Students will create interactive and static charts and maps using the latest visualization software.
Artificial Intelligence decisions are often only as good as the person asking the question. In this course, you’ll learn how to ask the right ones and increase the productivity and innovation you can achieve with AI. Create better prompts, compare and contrast strengths and limitations, evaluate outcomes, and by the end of this course, understand and leverage the power of AI for decision-making across any discipline, opening up new career paths and personal growth. This course is offered online through a consortium of accredited colleges and universities. Instruction is provided by faculty employed by partner institutions within the consortium, with technology and administrative support provided by Rize Education. Oversight of courses offered through the consortium are reviewed and approved by Saint Francis University. Students register through and receive academic credit from Saint Francis University.
Generative AI has introduced a new paradigm of AI: the co-creator. Top professionals and companies use AI to improve productivity and creativity every day, and in this course, you’ll learn the iterative prompting, search, and functional evaluation metrics powering these uses. By the end of this course, you’ll integrate AI tools into a variety of creative skill sets, and your own projects, building new avenues for creativity in your career. This course is offered online through a consortium of accredited colleges and universities. Instruction is provided by faculty employed by partner institutions within the consortium, with technology and administrative support provided by Rize Education. Oversight of courses offered through the consortium are reviewed and approved by Saint Francis University. Students register through and receive academic credit from Saint Francis University.
AI poses substantial ethical risks to businesses, people, and anyone taking advantage of the technology. Therefore, learning the ethical theories and legal frameworks surrounding AI is critical for anyone using AI tools. This course will explore the ethical standards and legal requirements in AI deployment, covering topics such as bias, privacy, and governance. This course is offered online through a consortium of accredited colleges and universities. Instruction is provided by faculty employed by partner institutions within the consortium, with technology and administrative support provided by Rize Education. Oversight of courses offered through the consortium are reviewed and approved by Saint Francis University. Students register through and receive academic credit from Saint Francis University.
BUSA 311Descriptive and Predictive Analytics for Business3
This course investigates basic descriptive and predictive statistical analysis techniques and their application in business and decision making. Starting with descriptive techniques, students will learn how to effectively visualize, summarize, and interpret data using graphical, tabular, and numeric methods. Probability concepts will also be explored, providing a solid foundation for understanding uncertainty in business data and business decisions. Predictive analytics techniques covered include regression analysis, estimation, and hypothesis testing. These tools enable businesses to make informed predictions and guide strategic decisions based on data-driven insights. Throughout the course, ethical considerations are considered, emphasizing responsible data handling and the ethical implications of analytics. Microsoft Excel is required and used extensively throughout the course. Fall and Spring
The course focuses on the proper deployment and use of data analytic programming tools and techniques that are successfully utilized by modern business organizations for competitive advantage. The course utilizes the high-level scripting programming language Python. Students are introduced to Python data structure and its extensive library of analytics tools that are utilized to create repeatable descriptive, predictive, and prescriptive analytic processes.
MATH 112 or MATH 121 , BUSA 311 or MATH 215 , and MIS 110 . Fall (odd numbered years).
BUSA 322Data Mining and Machine Learning3
Building upon foundational business analytics tools and techniques, this course further explores methods and algorithms used in the field of business analytics. Students will focus on data mining and machine learning techniques such as regression, classification, decision trees, neural network, clustering, recommender system, sentiment analysis, and network analysis. Select industry tools will be utilized to perform data mining and machine learning techniques.
The integration of classroom theory with practical work experience under which students have specific periods of attendance at college and specific periods of employment, either full or part-time, with or without pay. Credit may vary from one to three credits, depending upon the internship, but no more than nine credits may be counted toward major elective requirements, with additional credits counted as free electives. Open only to Business Analytics majors, with approval of the chair of the department. Fall, Spring, Summer.
The integration of classroom theory with practical work experience under which students have specific periods of attendance at college and specific periods of employment, either full or part-time, with or without pay. Credit may vary from one to 12 credits, depending upon the internship, but no more than nine credits may be counted toward major elective requirements, with additional credits counted as free electives. Open only to Business Analytics majors, with approval of the chair of the department. Fall, Spring, Summer.
Designed as the capstone of the Business Analytics program, this course is an integration and application of all the student’s coursework in business, mathematics, statistics, computer programing, and analytics. This course utilizes the client-consulting model where students will work with real business clients to understand their informational needs and design solutions to meet these needs.
