Bachelor's in Business Analytics

The Business Analytics program at NDSU combines analytical coursework with practical opportunities that help students understand how organizations use data to solve real business problems. Students gain experience through business software applications, statistical analysis, business intelligence, predictive analytics, and information systems coursework. The program also includes internship and experiential education options, allowing students to apply classroom knowledge in professional environments and engage with industry experts.

Students can develop practical skills through the following opportunities:

• Business Software Applications: SCM 116 introduces business software applications and digital tools used in organizational environments.

• Business Analytics: BUSN 380 focuses on applying analytics to business decision-making and solving practical business problems.

• Applied Business Intelligence: MIS 340 introduces techniques for transforming business information into meaningful insights.

• Data Mining and Predictive Analytics: MIS 479 explores analytical methods such as decision trees, cluster analysis, and neural networks for supporting business decisions.

• Database Design: MIS 375 develops knowledge of database systems used to organize and manage business information.

• AI and Information Systems: MIS 470 introduces the relationship between artificial intelligence and information systems in modern organizations.

• Programming Electives: Students can select programming courses such as Computing Fundamentals in Python I or Introduction to the R Language.

• Business Analytics Practicum: MIS 397 provides an opportunity to gain practical experience through a business analytics internship or cooperative education placement.

• MIS Service Internship: MIS 413 offers an additional experiential learning pathway involving information systems and practical service experience.

• Global Practicum: GLBL 492 allows students to pursue a study-abroad experience as an approved experiential option.

• Industry Engagement: Students can connect with industry professionals through guest speakers, networking activities, and career-focused events.

• Career and Advising Center: NDSU provides internship and cooperative education support to help students connect their academic preparation with professional experience.

Graduates of the Business Analytics program at NDSU are prepared to pursue careers involving data interpretation, business intelligence, operational improvement, and strategic decision-making. Their combined understanding of business operations, statistical methods, information systems, and predictive analytics can support opportunities in finance, healthcare, agriculture, technology, and other data-driven industries. The program also provides a foundation for students interested in advanced analytics, management, or data science education.

Potential Career Opportunities

Business Analyst, Data Analyst, Operations Analyst, Data Scientist, Artificial Intelligence Engineer, Business Intelligence Analyst, Financial Analyst, Marketing Analyst, Predictive Analytics Analyst, Management Analyst, Analytics Consultant, Supply Chain Analyst.

Career Development and Graduate Outcomes

Students can strengthen their professional readiness through the following university resources and opportunities:

• Career and Advising Center: Provides career advising, internship assistance, employment preparation, and professional development support.

• Internship Opportunities: Students can gain workplace experience through approved internship, cooperative education, and service internship options.

• Industry Connections: Guest speakers, networking events, and career-focused activities help students interact with professionals and understand industry expectations.

• Employment Outcomes: NDSU reports that 95% of recent Business Analytics graduates are employed or continuing their education.

• Career Opportunities: The university identifies business analyst, data analyst, operations analyst, data scientist, and artificial intelligence engineer among the high-demand occupations associated with the field.

• Salary Information: NDSU reports a national median salary of $107,900 for the identified high-demand occupations requiring five years of experience or less, based on 2026 Lightcast labor-market data.

• Industry Applications: Students can prepare for opportunities across finance, healthcare, agriculture, hospitality, tourism, and other sectors.

• Professional Accreditation: AACSB accreditation of the College of Business provides recognition of its business education standards and supports the academic credibility of its business programs.

• Graduate Education: The undergraduate degree provides a foundation for further study in business analytics, data science, information systems, and business administration.

Further Academic Progression:

After completing the BS in Business Analytics, graduates can pursue advanced qualifications to deepen their technical, analytical, or managerial expertise:

• Master of Science in Business Analytics: To develop advanced skills in predictive modeling, business intelligence, and data-driven decision-making.

• Master of Science in Data Science: For students interested in statistical modeling, machine learning, and advanced data analysis.

• Master of Business Administration (MBA): To prepare for leadership, strategic management, consulting, and business decision-making roles.

• Master of Science in Management Information Systems: To specialize in enterprise technology, information systems, and digital business operations.

• Master of Science in Artificial Intelligence: For students interested in machine learning, intelligent systems, and AI-driven business solutions.

• Doctor of Philosophy (PhD): For graduates interested in academic research or advanced research in business analytics, information systems, or related disciplines.