The University of North Carolina (UNC) will be offering Bachelor of Science and Bachelor of Arts degrees in data science starting this fall. Stan Ahalt, the inaugural dean of the School of Data Science and Society, emphasized the importance of having a dedicated discipline at UNC focused on the study of data in today’s world.
Here are some key points about the new data science programs at UNC:
– The Bachelor of Science in data science will require at least 60 credit hours and is designed to be more advanced from a computational standpoint. Students pursuing this degree will delve deeper into statistical methods and mathematical principles related to data science, preparing them to develop new algorithms and explore areas like analytics, machine learning, and generative AI.
– Prospective students interested in the Bachelor of Science in data science must apply for the major by March 31, following the completion of specific prerequisite courses including Data Science 110: Introduction to Data Science, calculus, statistics, and computer science. It is anticipated that around 75-100 students will be accepted into the program in its inaugural year.
– On the other hand, the Bachelor of Arts in data science will require 39 credit hours and does not necessitate a formal application for the major. This degree is more tailored for students interested in applying data skills within specific disciplines like geography, political science, and chemistry.
Jaye Cable, senior associate dean for natural sciences, highlighted that the Bachelor of Arts degree offers a more practical approach, enabling students to work with data in various contexts while also having the flexibility to choose concentrations or classes aligned with specific disciplines.
Overall, the introduction of these new data science degrees at UNC reflects the increasing demand for professionals equipped with skills in data analysis and interpretation across different industries and fields. By offering both Bachelor of Science and Bachelor of Arts options, UNC aims to cater to a diverse range of students interested in pursuing careers in data science.
