Business Analytics and Artificial Intelligence B.S.

4 Years On Campus Bachelors Program

University of Rhode Island

Program Overview

The Business Analytics and Artificial Intelligence B.S. at the University of Rhode Island combines business knowledge, analytical thinking, and emerging technologies to prepare students for data-driven decision-making across industries. Designed for students interested in business, technology, and problem-solving, the program develops skills in statistics, programming, artificial intelligence, database management, and business intelligence, helping graduates turn complex data into meaningful business insights.

Curriculum Structure

The degree requires 120 credits. URI publishes the required major courses, but not a fixed year-by-year sequence in the program description; the following is a learning progression rather than a confirmed semester plan.

Year 1 – Business and Quantitative Foundations

Students begin by developing their business computing, quantitative reasoning, and analytical foundations. Courses such as BAI 109: Business Computing & Quantitative Analysis and BAI 111: Intro to Business Analysis & Applications introduce the use of data and analytical methods in business contexts, while introductory business and economics study helps students understand organizational and market decisions.

Year 2 – Statistics and Data Analysis

Students strengthen their ability to interpret data and apply statistical reasoning to business questions. BAI 210: Managerial Statistics and BAI 212: Managerial Statistics II: AI Applications in Business build a foundation in statistical analysis and AI-supported decision-making, while BAI 310: Business Data Analysis with Excel develops practical skills in working with business datasets.

Year 3 – Programming and Decision Support

Students move into more advanced applications of analytics, programming, and management decision-making. BAI 311: Managerial Decision Support focuses on analytical support for business decisions, while BAI 356: Business App. Programming II (AI) develops programming skills for business applications. Students also complete the BAI 390: Junior Career Passport Program as part of their professional preparation.

Year 4 – Business Intelligence and Advanced Applications

In the final stage, students develop advanced capabilities in data management, visualization, and strategic business applications. Courses include BAI 455: Business App Programming II (AI), BAI 456: Management of Databases, and BAI 457: Visualizing Data for Business Intelligence, alongside a 300- or 400-level BAI elective and MGT 445: Strategic Management.

Focus Areas

Business analytics, artificial intelligence applications, quantitative analysis, managerial statistics, business data analysis, Excel-based analytics, programming for business, database management, data visualization, business intelligence, managerial decision support, strategic management.

Learning Outcomes

Apply business analytics tools to organizational problems, interpret data to support informed business decisions, use statistical and programming techniques in business contexts, understand AI applications in management, manage and visualize business data, communicate analytical insights, and contribute to future-oriented business strategies.

Professional Alignment (Accreditation)

The program is offered through URI's College of Business. The university's official program pages reviewed for this profile do not specify a separate program-level accreditation for the Business Analytics and Artificial Intelligence major; confirm any college-level accreditation separately before entering it as a program-specific accreditation.

Reputation (Employability and Rankings)

URI's College of Business reported 62 enrolled undergraduate students in Business Analytics and Artificial Intelligence in its Fall 2025 figures. The program's official career information identifies opportunities across analytics, business intelligence, finance, marketing, operations, technology consulting, and other sectors. A specific program-level employment rate or salary figure was not identified in the official sources reviewed.

Experiential Learning (Research, Projects, Internships etc.)

Students can connect classroom learning with business applications through programming, statistical analysis, data visualization, and decision-support coursework. URI also encourages students to gain professional experience through internships, employer events, career fairs, networking, and experiential learning opportunities. The College of Business highlights practical technology exposure, including Excel certification, Python, SPSS, R, and Bloomberg terminals.

Students can build practical experience through:

Business analytics projects: Apply analytical methods to business problems and data-informed decision-making.
Programming and AI applications: Develop technical skills through BAI programming courses, including business applications involving AI.
Data visualization: Use BAI 457: Visualizing Data for Business Intelligence to develop business intelligence presentation skills.
Database experience: Study data organization and management through BAI 456: Management of Databases.
Internships: Explore internships during the academic year or summer, with potential academic credit subject to university requirements.
Career development: Participate in employer events, career fairs, networking, and career preparation activities.
Technology exposure: College of Business resources identify Excel certification, Python, SPSS, R, Bloomberg terminals, and Capital IQ among its technology resources.

Progression & Future Opportunities

Graduates can pursue careers that combine business understanding with analytics, artificial intelligence, and data interpretation. The degree supports opportunities in financial services, consulting, technology, healthcare, retail, manufacturing, marketing, and supply chain operations, where organizations use data to improve decisions and performance.

Potential career roles: Business Analyst, Business Intelligence Analyst, Data Analyst, Business Analytics Specialist

Students can strengthen their career readiness through:

Career services: URI's College of Business encourages students to use career development resources, employer events, career fairs, networking, and internship opportunities.
Internship experience: Students may pursue internships during the academic year or summer and may be eligible to earn academic credit.
Industry exposure: The university identifies opportunities across financial services, banking, accounting, consulting, technology, healthcare, insurance, manufacturing, retail, marketing, logistics, government, and nonprofit sectors.
Technical preparation: Coursework in programming, statistics, databases, and data visualization supports the development of practical analytical skills.
Employment statistics and salaries: A specific BAI graduate employment rate or salary figure was not found in the official sources reviewed; record as NA rather than estimating.

Further Academic Progression: Graduates may continue into URI's M.S. in Management, which offers a Business Analytics and Artificial Intelligence specialization, or consider graduate study in related business and analytics fields. URI's College of Business also lists MBA, M.S. programs, and doctoral study options, subject to their respective admission requirements.