COURSE CURRICULUM

The Data Science program offers a diverse range of courses designed to build a strong foundation in both theoretical and practical aspects of data analysis. Students begin with fundamental courses such as COMP 2140: Data Structures and Algorithms, which teaches essential programming concepts and efficient data organization techniques critical for managing large data sets. DATA 2010: Tools and Techniques for Data Science introduces students to key methodologies and software tools used in data collection, cleaning, and analysis, providing hands-on experience with real-world applications. DATA 3010: Data Science with Real World Data Sets further develops practical skills by focusing on the analysis and interpretation of complex data drawn from various industries, allowing students to apply their knowledge in realistic scenarios. Mathematical foundations are strengthened through courses like MATH 1220: Linear Algebra, which is vital for understanding data transformations and algorithms, and STAT 2150: Statistics and Computing, which covers statistical principles and computational methods used in data analysis. Together, these courses equip students with the technical proficiency and analytical thinking necessary to extract valuable insights from data, preparing them for successful careers in a rapidly growing field.