

The Bachelor of Science in Data Science at the University of North Carolina is a four year program designed for students who want to specialize in analyzing, interpreting, and leveraging large datasets to solve complex problems. The curriculum emphasizes statistical modeling, machine learning, data visualization, programming, and critical analysis, providing students with the skills necessary to transform raw data into actionable insights. Students study algorithms, databases, predictive modeling, and computational methods while developing analytical, computational, and problem solving skills essential for careers in technology, business intelligence, and research. This program prepares graduates to tackle real-world challenges using data-driven approaches across multiple industries.
Throughout the program, students engage in hands-on projects, internships, and research that connect theoretical knowledge with practical applications. Coursework emphasizes big data analytics, data management, algorithm development, and decision-making strategies, equipping graduates to design data pipelines, create predictive models, and develop actionable solutions for organizations. By integrating computer science principles with applied analytics, the program cultivates professionals capable of leveraging data to drive strategic decisions and innovation in diverse professional settings.
Year 1 - Foundations in Data Science
• Introduction to Data Science
• Calculus and Linear Algebra
• Academic Writing and Research Methods
• Programming Fundamentals
Year 2 - Developing Analytical and Computational Skills
• Probability and Statistics
• Algorithms and Data Structures
• Database Management
• Programming for Data Analysis
Year 3 - Advanced Study and Applied Projects
• Machine Learning and Artificial Intelligence
• Data Visualization and Communication
• Applied Data Science Project
• Internship or Collaborative Research
Year 4 - Capstone and Professional Integration
• Senior Seminar in Data Science
• Big Data Analytics and Predictive Modeling
• Independent Research Project or Thesis
• Capstone Portfolio and Presentation
Graduates of this program are prepared for careers in data science, analytics, machine learning, business intelligence, and technology development. Potential roles include data scientists, machine learning engineers, data analysts, business intelligence specialists, and research data consultants in technology firms, financial institutions, healthcare organizations, and governmental agencies. The program also provides a foundation for graduate study in data science, artificial intelligence, computer science, or business analytics. Graduates gain technical, analytical, and problem-solving skills, enabling them to transform data into insights, optimize systems, and support data-driven decision-making in professional environments.
This program is ideal for students seeking a curriculum that combines big data analytics, computational techniques, and applied problem solving. Learners benefit from hands-on projects, internships, and research opportunities that strengthen programming, analytical reasoning, and professional competencies. The program emphasizes real-world applications, predictive modeling, and data-driven strategies, preparing graduates for careers in data science, technology, and business intelligence. By integrating theoretical understanding with practical experience, students acquire the expertise, confidence, and professional readiness necessary to pursue impactful careers or advanced study in data science and related fields.
Phone: +1 (919) 966-3621
Email: unchelp@admissions.unc.edu
Address: Jackson Hall, 174 Country Club Road, Chapel Hill, NC 27514, USA