Business Analytics University of North Carolina Wilmington

Overview

The Business Analytics programme at the University of North Carolina Wilmington is designed to equip students with the technical expertise required to navigate today’s data-intensive corporate landscape. This rigorous curriculum focuses on transforming complex data sets into actionable insights that drive organisational success.

Students engage with a comprehensive suite of analytical tools, including Python, R, SQL, and Tableau. The coursework is structured to provide a deep understanding of descriptive, predictive, and prescriptive analytics, ensuring graduates can manage projects across diverse business environments. The programme emphasises real-world application through simulations and data-intensive projects.

Why Business Analytics at the University of North Carolina Wilmington?

The University of North Carolina Wilmington provides a high-value education through its AACSB-accredited Cameron School of Business, a distinction held by fewer than five per cent of business schools globally. This accreditation ensures that the curriculum meets the highest standards of quality and relevance in the global marketplace.

The programme is distinguished by its focus on practical, hands-on learning. Students benefit from instruction by expert faculty members who are dedicated to student success and professional development. The online format is specifically tailored for convenience, offering multiple start dates throughout the year to accommodate various schedules.

Furthermore, the university provides robust student support services and access to a vast network of alumni. The curriculum is constantly updated to reflect the latest trends in machine learning and statistical forecasting, ensuring that students remain at the forefront of technological advancements in the field of business intelligence.

Tuition Fee Breakdown

• International fee: USD 1258 per credit
• National fee: USD 1258 per credit
• Local fee: USD 311 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of core requirements and specialised electives. Modules may include:

Core Courses

• Descriptive Analytics
• Prescriptive Analytics
• Predictive Analytics
• Case Studies in Business Analytics
• Applications of Business Analytics
• Programming for Analytics
• Database for Analytics
• Data Visualization

Elective Options

• Digital Marketing Analytics
• Health Care Analytics
• Supply Chain Analytics
• Sports Analytics
• Internship
• Text and Unstructured Data Analytics
• Data Center Management
• Current Topics in Business Analytics

Required for Non-Business Majors

• Survey of Business

Careers with Business Analytics

Graduates of this programme are prepared for high-growth roles across various sectors, including healthcare, marketing, and supply chain management. The skills acquired enable students to transition into specialised technical positions or advance into leadership roles that require data-driven strategic planning.

Potential career paths for graduates include:

• Data Scientist
• Management Analyst
• Logisticians
• Market Research Analyst