COURSE CURRICULUM

The Bachelor of Science in Analytics at University of New Hampshire is a comprehensive and technically rigorous program designed to equip students with strong skills in mathematics, computer science, business, and data analytics, requiring a total of 128 credits for graduation along with completion of the university’s general education requirements. Within the major itself, students must complete 25 required courses and achieve at least a C- grade in key core subjects such as programming, data science, and information technology, ensuring a solid technical foundation; they are also expected to maintain steady academic progress, with limited opportunities to repeat critical courses. The curriculum begins with essential mathematics courses including calculus, statistical analysis, linear algebra, and regression analysis, which form the backbone for understanding data and algorithms. This is complemented by computer science courses covering programming, data structures, and data science, where students learn to build, manage, and analyze data systems. In addition, business-related courses such as responsible management, economics, and organizational behavior help students understand how analytics is applied in real-world organizational settings, while a professional writing course strengthens communication skills for presenting technical findings. The program’s core analytics component includes advanced topics like statistical learning, machine learning, data mining, and scalable data systems, enabling students to work with large and complex datasets. A capstone project or thesis in the final year allows students to apply their knowledge to real-world problems through hands-on research or development work. Students are also required to complete a minor in a related field such as artificial intelligence, business administration, cybersecurity, economics, information technology, or statistics, further enhancing their expertise. Overall, the program blends theory, technical skills, and practical application to prepare graduates for careers in data analytics, technology, and research.